power bi assignment

15 Power BI Projects Examples and Ideas for Practice

Master Power BI Skills By Gaining Hands-on Experience on These Amazing Power BI Projects in 2022 | ProjectPro

Preparing for your next BI developer interview? Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features.

We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive.

Table of Contents

What is power bi, what is power bi used for, how to do visualization in a power bi project, 15 power bi project examples , 1. customer churn analysis, 2. product sales data analysis, 3. marketing campaign insights analysis, 4. financial performance analysis, 5. healthcare sales analysis, 6. anomaly detection in credit card transactions , 7. automl cashflow optimization for insurance company , 8. global health expenditure analysis, 9. loan application analysis, 10. movie sales visualization, 11. airport authority data analysis, 12. covid-19 insights analysis , 13. construction permit data analysis, 14. global energy trade analysis, 15. life expectancy data analysis, 16. twitter analysis dashboard, 17. ott media dashboard, 18. adventureworks database analysis, retail analysis power bi report example, global covid-19 analysis power bi report example, inventory stock analysis power bi report example, cancer analytics power bi report example, customer analysis power bi report example, master data visualization with these power bi projects.

• What projects can I do with Power BI?
• How do you practice Power BI?
• Where can I get practice data for Power BI?

Microsoft Power BI is a Business Intelligence service that enables you to create visually rich and interactive dashboards and reports based on the raw business data acquired from various sources. Apart from the variety of apps, connectors, and services offered by Power BI, there are three basic elements integrated into Power BI- 

Power BI Desktop (a desktop version),

Power BI Service (an online SaaS service), and

Power BI Mobile Applications for several platforms.

Business users utilize these services to collect data and generate BI reports. These three components are all meant to assist in building, exchanging, and leveraging business insights in the most efficient way possible for any business. Some of the benefits of leveraging Power BI include-

Easy Interaction with Existing Applications: Power BI makes it far easier to implement analytics and reporting abilities since it seamlessly connects with your current business environment.

Customized Dashboards: The information dashboard can be tailored to meet the demands of a company. The application can simply include Power BI dashboards and reports to create a smooth user experience.

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling . Data models created in R may be easily integrated into Power BI dashboards and turned into visualizations.

No Storage or Performance Limits: There are no memory or speed constraints when migrating an existing BI system to a robust cloud environment with Power BI integrated, ensuring that data can be fetched and analyzed efficiently.

Securely published reports: Power BI enables automatic data refresh and publishes reports securely, allowing users to access the most up-to-date data.

New Projects

There are various tools and techniques for analytics and machine learning in the fascinating and extensive realm of data science. Power BI is a high-level, all-in-one solution for data analytics in data science. Data science aids in the discovery of relevant and productive trends and insights. It involves analyzing the data and also assists us in identifying entirely new features in it. Business intelligence is sifting through data to extract meaningful organizational ideas and insights. BI enhances and strengthens the business infrastructure to get desired or projected results.

Many data sciences and analysis tasks can be automated with Power BI, eliminating the need for spreadsheets and static presentation tools. One of Power-most BI's most impressive features is its ability to create stunning visualizations. The software is packed with excellent and eye-catching visualization templates. The integration of Power BI into Data Science holds great importance for businesses. This allows for smooth and effective data visualization, which plays a vital role in an organization’s success. 

With the help of Power BI, visualization in Data Science can be taken a notch further. Businesses and Data Scientists rely heavily on Power BI-aided data visualization for various projects. Numerous visualization types and charts are available in Power BI for creating effective visualization for data science projects .

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There are two ways to generate visualization in Power BI. First, add items to Report Canvas from the right side pane. Another way you can do this is by dragging the fields from the right sidebar to the value axis under Visualization. By default, Power BI selects the table type visualization. To each axis, you can add as many fields as necessary. You can also click and drag your visualization to rearrange it on the reporting panel. You can easily toggle between various charts and visualizations from the Visualization window. Your specified fields are transformed to the new visual format as accurately as possible.

Let us now understand how one can perform data visualization in Power BI.

The first thing you need is data. Power BI can connect several data sources- Excel, Web, etc. The options from which data can be imported into the Power BI desktop are all visible once you click the Get Data icon. You can view the data in the Fields pane once it has been loaded.

After loading the sample data into the Power BI desktop, you can modify it with the help of Query Editor. Regardless of the data source, query editors are helpful for editing datasets . In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things.

In Power BI, removing columns from the dataset or modifying the data types in the columns is relatively easy. You can remove columns by simply choosing the Remove Columns option after selecting the desired column. Likewise, the query editor makes it simple to perform a wide range of actions like removing and adding rows, transposing, pivoting, and splitting.

Once the dataset is complete and has undergone all necessary modifications, you can move on to creating the dashboard. Both bubble and shape maps are available for map visualizations in Power BI. To plot measure values, Power BI offers several combination chart types. Suppose you want to display overall sales and revenue on the same chart. The ideal option for this type of scenario is combination charts.

You can change the colors in the charts in BI dashboards. There is a color selection option when you choose any visualization.

Additionally, the application has an analytics feature that allows you to draw lines for data visualization according to your preferences. Power BI also has the option to add various shapes, texts, and images when visualizing data.

This blog lists 15 Microsoft Power BI projects for you. We have categorized these Power BI examples into beginner, intermediate, and advanced levels. You can choose any of these power bi projects for practice to upskill yourself in the Data Science domain. 

Beginner-Level Power BI Project Basic Examples

In this section, we have included some Power BI projects for students. These simple Power BI projects will enable you to understand business intelligence applications and build a successful career as a data scientist.

The customer churn analysis project is one of the easiest and most popular Power BI sample projects. Customer Churn Analysis reveals regional customers' product sales and profits. Analytical users can use it to analyze regional business growth across geographies to gain valuable insights and distribute profits among customers. They can receive extensive data by using the right visualizations and data structure. The project includes regional cash inflows and product-specific customer churn over time.

For this beginner-friendly project, use the customer segmentation dataset available on Kaggle. In the analysis overview page, you could use Combo Charts, Cards, Bar Charts, Tables, or Line Charts; for the customer segmentation page, you could employ Column Charts, Bubble Charts, Point Maps, Tables, etc.

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Businesses must keep detailed records of their sales for a variety of reasons. However, if there is too much data, it often becomes difficult to keep track of everything. Analyzing sales data allows companies to keep track of their sales and answer all critical questions regarding their performance.

This sales data analysis project entails analyzing a company's sales data and indicating profit by product, sales, and other significant factors that might influence the company's performance. You can use Microsoft's sample dataset . The data set must be connected to Power BI Desktop to remove irrelevant data before visualizing and exporting the filtered data as dashboards. The dashboard could leverage Power BI visualization types such as Pie Charts, Bar Charts, Doughnut Charts, Funnel Charts, etc.

The project idea is to showcase the efficacy of various marketing campaigns and the performance of product groups and platforms using any marketing analytics dataset. This project is an excellent approach for a marketing manager to assess the success of marketing campaigns.

Use the Marketing Analytics dataset available on Kaggle for this beginner-level project. For the data visualization dashboard, you can explore many of the Power BI visualization types, such as Bar Charts for category-wise expenditures, Column Charts for campaign success rate, Smart Narratives for displaying the key highlights of the campaign, Bubble Charts for customer-wise spending, Cards for showing individual data insights, etc.

Financial performance analysis is one of the most intriguing Power BI project ideas for beginners. This business intelligence project approach is based on optimizing financial analysis for a firm that provides accounting services to clients who seek timely delivery of critical financial reports. You can set up the analysis to quickly access reliable financial data. The project might be used to: migrate traditional financial reporting from Excel to current BI dashboards and provide customers with an effective tool to track their financial health and productivity.

Refer to the multi-company financial dataset available on Kaggle. You can leverage Power BI data visualization in this project for three different cases-

- for the summary/overview page, you can use Funnel Charts, Combo Charts (Column Charts, Line Charts, Waterfall Charts); 

-for the income statement page, you can use Cards, Funnel Charts, and Combo Charts (Line Charts and Column Charts); and

- for the balance sheet page, you can use Cards and Tables.

This business intelligence project idea enables those in the Animal Healthcare sector to efficiently track the sale of products dedicated to treating minor animal species. Businesses may instantly compare product sales in top-ranking and bottom-ranking cities. The project could generate a thorough report on therapeutic group-wise sales and the sales trends for any specified period.

You can refer to the pharma sales dataset available on Kaggle. For the data visualization on Power BI, you might use Tables for displaying the therapeutic group-wise sales, Column Charts for monthly sales trends; Bar charts for top and bottom-ranking cities; and also, you can include Treemaps, Cards, Smart Narratives, etc. You can also check out the Microsoft Power BI community for some beginner-friendly power bi project examples.

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Intermediate-Level Power BI Project Ideas

If you’re already well-versed with the Power BI data visualization tool and are willing to strengthen your data analytics skills further as a Data Scientist, here are some power bi projects for resume-

The first Power BI project idea we have come up with is Anomaly Detection in Credit Card Transactions. Anomaly Detection is a machine learning technique for detecting unusual things, events, or observations that differ considerably from the rest of the data and look suspicious. You can implement this machine learning method in three ways- supervised (for labeled datasets), semi-supervised (for normally trained datasets), and unsupervised (for datasets without any labels).

For this project, you can use the credit card dataset by Delaware available on their open data platform itself or the credit card fraud detection dataset from Kaggle. You must first import the dataset into the Power BI desktop, maybe via a web connector. You can then leverage Power BI to train your anomaly detector or use a pre-trained model. To label outliers in Power BI, you'll need to run a Python script in the Power Query Editor and use the get_outliers() method. Finally, Power BI Dashboard can be used to visualize it. You could also train your anomaly detection model in any IDE or Notebook and then pass it to Power BI for labeling. You can do the data visualization in the Power BI dashboard with the help of Line Charts, Bubble Charts, TreeMaps, etc.

Automated machine learning (AutoML) is the technique of automating machine learning's time-consuming, iterative processes. It enables data scientists and analysts to rapidly create machine learning models while retaining model quality. Any AutoML solution's ultimate goal is to identify the optimal model based on performance metrics.

In this business intelligence project, you can work with the medical cost personal dataset from Kaggle. The business problem involves an insurance company that wishes to improve its cash flow projections by precisely estimating patient charges through demographic and primary patient health risk variables at the time of hospitalization. The first step is accessing Power BI Desktop, loading the dataset, and replicating it. The Python script may then be executed in Power Query, where the compare_models() method can be used to train different models, compare them, and evaluate their performance data. You may also use the automl() function to find the best-performing model out of all of them. For the resulting dashboard, you can leverage Power BI dashboard features such as Bar Charts, Bubble Charts, Tables, etc.

One of the most helpful Power BI project ideas is the Global Health Expenditure Analysis. This project idea is based on implementing clustering analysis in Power BI using PyCaret. Clustering is a method for bringing data items together that have similar features. These classifications help study a dataset, detect patterns, analyze data, and data clustering help in identifying underlying data structures.

In this case, use the current health expenditure dataset from the WHO Global Health Expenditure database. From 2000 to 2018, the dataset includes health expenditure as a percentage of national GDP for over 200 nations. Also, you could use the K-Means clustering algorithm for the clustering analysis. Visualize the cluster labels in Power BI Dashboard to gain insights after you have loaded the dataset in Power BI Desktop and trained your clustering model in Power BI. For the summary page dashboard, you might choose visualization chart types such as Filled Maps, Bar Charts, etc., while for the detailed visualization, you can use Point Maps.

This project concept entails evaluating loan application data to find abstract 'topics,' which are then used to assess the impact of specific topics (loan types) on the default rate. It is based on implementing the Latent Dirichlet Allocation (LDA) topic model in Power BI. Topic modeling aims to automatically analyze a collection of documents and determine their abstract ‘topics’.

For this project, you can use the Kiva dataset on GitHub, which covers loan data for 6,818 accepted potential borrowers. The loan amount, nationality, gender, and some text data from the borrower's application are included in the dataset. Once you have loaded the dataset in Power Bi desktop, trained your model, and the topic weights are added to the original dataset in Power BI, you can visualize it in the Power BI dashboard by employing the Word Cloud feature, Pie Charts on basic maps, Bar Charts, Scatter Charts, etc.

The movie sales visualization project is one of the most exciting Power BI project ideas. This project aims to take a dataset that shows movie sales over time and turn it into an interactive visual experience. You can use the IMDb dataset for 2006 to 2016, available on both IMDb and Kaggle. The dataset includes a list of movies having an IMDb score of 6 or higher and the parameters Budget, Gross, Genre, and Scores. 

You can create a custom Radial Bar Chart and use Slicers to pick Genre, Country, and score range to be integrated directly into PowerBI. This would display parameters such as Average Score and Gross Collections for the selected set. Plotting a Histogram on the score variable using year and genre as slicers will show the frequency distribution of the IMDb scores. A KDE plot can provide a density graph and insights into the average rating for a specific genre and distribution for a given timeframe.

Advanced-Level Power BI Project Ideas

Lastly, we have listed some of the best power bi projects for professionals who need some interesting power BI projects with dataset to try their hands on. 

The Airport Authority Data Analysis project aims to provide a clear picture of all the significant airport data. The total number of flights (incoming and departing flights), the total number of flight delays (arrivals and departures), ground processing time, and the passenger feedback section can all be included in the summary page of this project’s dashboard. In case of flight changes, emergencies, or delays, this analysis could assist airport management authorities in making timely data-driven choices.

For this project idea, you can use the Airline delays and cancellation dataset available on Kaggle. The dataset includes multi-year airline data from 2009 to 2018 to provide more time-series insights. For flight analysis, you can use Power BI visualization options like Cards, Bar Charts, Flow Maps, TreeMaps, and Tornado Charts. For passenger feedback, you might prefer to use Bar Charts, Column Charts, or Cards.

Covid-19 Insights Analysis is one of the most popular Power BI project ideas among individuals. The project aims to thoroughly overview the Covid-19 pandemic's essential parameters, the latest situation, and detailed country-level evaluations. You can create a dashboard that gives valuable information regarding cases (active, deceased, or recovered), mortality, and recovery rates by nation and timeframe. Also, the dashboard might even include a management summary of the most important KPIs and a thorough analysis of individual report pages.

Refer to the Covid-19 dataset available on Kaggle for this project idea. As for the Power BI data visualization features, you can use- Bar Charts, Point Maps, Line Charts, and Column Charts for the overview page; Doughnut Charts for category-wise case analysis; and Decomposition Trees for country-wise case analysis. You might also use Heat Maps to enhance your project’s dashboard visualization.

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The project idea is to help construction firms better understand the industry by allowing them to dig deeper into the specifics and research relevant incidents. You can focus your project on details such as investment growth over time, investment concentrations in specific areas if the investment is impacted by Category, Contractor, or Individual, market status, and which categories, individuals, and permits are driving the market.

For this project idea, use the Seattle building permits dataset from Kaggle. You can perform  Power BI data visualization with the help of Regional Maps, Pie Charts, Bar Charts, Tables, Cards for the main page, Bar Charts, and Line Charts for depicting contractor competitions and category-wise growth, etc.

One of the most unique power bi projects ideas is the Global Energy Trade Analysis. This project concept includes various topics concerning global energy exchange and production. It addresses several topics, such as the expansion of wind energy, energy consumption as a different basis for comparing national economies, etc.

For this unique project idea, use the international energy statistics dataset from Kaggle. The resulting dashboard could display total energy statistics on production, exchange, and usage of primary and secondary energy, conventional and non-conventional energy sources, and new and renewable energy sources. For the dashboard, you can use Power BI visualization types such as Bar Charts, Flow Maps, Cards for the overview page, Ribbon Charts, Treemaps, Bar Charts for the energy production and exchange pages, etc.

This project will analyze life expectancy data by looking at factors such as immunizations, mortality, finances , social factors, and other health-related issues. It will make it easier for a country to identify the predicting factor contributing to a lower life expectancy value. This will also aid in recommending to a country which areas should be prioritized to effectively raise the population's life expectancy.

Use the life expectancy dataset by WHO on Kaggle for Life Expectancy Data Analysis. Power BI visualization types such as Gauge Charts, Pie Charts, Line Charts, and Point Maps can be used for the overview page, while Tornado Charts, Doughnut Charts, Treemaps can be used for depicting country-wise data, etc.

Power BI Projects Github

Here are a few unique project ideas from GitHub that will help you better understand the various applications of Power BI.

This project entails implementing an end-to-end Twitter data analysis/ETL pipeline. For this Power Bi project idea, use the Twitter data from Github . After extracting the data, you will transform it from JSON to CSV and create all the necessary derived attributes. You will then use NLP analysis to classify the tweets' content and determine their sentiment score. Once you finish the ETL process, you can move on to visualize your data using Power Bi reports. For creating the dashboard, you will use pie charts, bar graphs, line charts, tree maps, doughnut Charts, etc.

This unique Power BI project entails visualizing various information related to multiple OTT platforms such as Netflix, Hotstar, Amazon Prime, etc. You can access this project's entire OTT media platform dataset from Github. Use the Query Editor in Power BI for data cleaning and preparation. Once your data is ready for visualization, you can display the visuals using various plots, graphs, cards, etc.

Suppose you have learned all the basics of Spark. What’s next? Start exploring ProjectPro’s repository, where you will find different Spark Projects for Practice.

You can work with the AdventureWorks data available on GitHub for analysis & visualization. Perform the query editing in Microsoft SQL Server Management Studio and use Power BI for the visualization part. Also, use MS Excel and Power BI's query editor for analysis.

Power BI Report Examples

Below are a few interesting Power Bi report examples to help you understand the power of data visualization using Power BI.

The retail analysis report presents a dashboard that analyzes product sales data from various retailers across various regions. The metrics include new-store analysis and a comparison of this year's performance to last year's in terms of sales, units, gross margin, and variation.

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With interactive visualizations based on readily accessible data, the Global Covid-19 Analysis Report contributes to fully disclosing COVID-19 trends worldwide. The report includes maps showing Vaccinations, Progress to Zero, Rt, Spread Analysis, Testing, and Risk Levels.

The inventory stock analysis report contains additional details on stock inventory and represents an analysis of stock inventory for 2018. Using this dashboard, you can forecast "Availability of Stock" and "Time to Replenish Stock" using information from the fulfillment cycle and markdown variance.

The Cancer Analytics report offers a brief overview and a thorough analysis of cancer patients in the US. It enables you to evaluate the mortality rates of each type of cancer, divided according to several factors. You can use the Cancer Analytics Dashboard to make well-informed decisions about the growing number of cancer patients in America.

The Customer Analysis Report highlights product sales and profit for local customers. It can be helpful for analytical users to gain valuable information on customer profit distribution and business growth across areas. The main highlights of the Customer Analysis report dashboard are the region-specific cash inflow and the clients' product-specific turnover.

These real-time power bi projects will help beginners and professionals upskill and master the ability to integrate business intelligence into Data Science. By working on these project ideas, you will gain a deeper understanding of leveraging Power BI for a data-driven approach to various data science industries and becoming job-ready. In case you are looking for some free Power BI projects for practice with solutions, you can head to open-source platforms like GitHub or Kaggle . ProjectPro offers more than 250 end-to-end project solutions around Data Science and Big Data, including some interesting data visualizations. 

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FAQs on Power BI Projects

1. what projects can i do with power bi.

Some of the projects you can do with Power BI are

Energy Trade Analysis

Covid-19 Analysis

Customer Churn Analysis

Movie Sales Visualization

2. How do you practice Power BI?

You can practice Power Bi by working on some unique and easy real-time Power BI examples available on ProjectPro, Github, Kaggle, etc.

3. Where can I get practice data for Power BI?

You can get practice data for Power BI in the platform itself, as the Power BI service has pre-built samples available.

Sign in to the Power BI service.

Browse to the workspace where you want to install the sample, whether it is My Workspace or another.

Select ‘Get data’ in the bottom-left corner. Choose Samples from the Get Data page that appears.

About the Author

Daivi is a highly skilled Technical Content Analyst with over a year of experience at ProjectPro. She is passionate about exploring various technology domains and enjoys staying up-to-date with industry trends and developments. Daivi is known for her excellent research skills and ability to distill

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Top 10 Power BI Project Ideas for Practice

What is power bi, why power bi, top power bi projects, power bi projects for beginners, 1. product sales data analysis, 2. marketing campaign insights analysis, 3. financial performance analysis, 4. customer churn analysis, intermediate level power bi project ideas, 5. global health expenditure analysis, 6. energy trade analysis, 7. anomaly detection in credit card transactions , advanced level power bi project ideas, 8. covid insight analysis, 9. airport performance analysis, 10. life expectancy data analysis, additional resources.

Data has become a ubiquitous part of business today, making it essential for businesses to understand how to gain value from the wealth of raw data available to them. The right information must be gleaned from the data and presented clearly for making well-informed business decisions. Because of this, business intelligence (BI) systems have gained tremendous traction that can assist an organization in discovering useful information, suggesting conclusions, and supporting decision-making. BI is a system that analyzes data, provides actionable information, and helps users to take informed business decisions. As a proven technology leader, Microsoft has propelled itself to the forefront with the introduction of its powerful analytics tool, Power BI. 

Microsoft’s Power BI toolkit transforms your data into meaningful information, making it one of the most popular business intelligence tools in the world. The increasing popularity of Power BI has led to an increased demand for Power BI professionals and business analysts.

Are you intrigued? If so, we’ve created this detailed guide for you. In this article, we will discuss some Power BI projects ideas that you can use to boost your chances of becoming a Power BI professional. But before we start exploring Power BI projects and Power BI projects for practice, let’s take a look at exactly what Power BI is and why it is so important.

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Power BI is a Business Intelligence and Data Visualization tool designed to analyze, visualize, and process enormous volumes of raw business data and transform them into actionable and interactive insights that help business managers, corporate executives, and other users to make better informed business decisions. Raw data can be stored in an Excel spreadsheet, cloud-based databases, or on-premises data warehouses. But, Power BI makes it easy to connect to your data sources, visualize it to find out what’s important, and share it with others. Using it, you can gain insight, draw conclusions, and share results across departments in the form of analytical reports or interactive dashboards.

Power BI is a BI solution by Microsoft that provides a simple yet powerful interface that even non-technical users can use to create dashboards and analysis reports. Besides offering easy drag-and-drop functionality, the tool also provides a range of interactive data visualizations for creating interactive reports and dashboards. Among all the apps, connectors, and services provided by the Power BI platform, the following key components stand out:

• Power BI Desktop (a Windows desktop application)
• Power BI service (an online SaaS (Software as a Service) service)
• Power BI mobile applications (available for different platforms such as Windows, iOS, and Android devices)

With these three elements, you can build, exchange, and leverage business insights in a way that’s efficient and impactful for any business.

Now that you know what Power BI is, let’s look at what makes it so valuable for analytics.

The following are some of the reasons why Power BI is widely considered one of the best business intelligence tools worldwide:

• Integrates seamlessly with existing systems: Power BI enhances analytics and reporting capabilities by seamlessly integrating with your existing business processes.
• Connect seamlessly with data sources: Power BI can connect to a variety of data sources, making it possible to align data sets from different sources and generate compelling reports on the basis of that data. Over 70 connectors are available for extracting data from sources like Azure Data Warehouse, , Excel, CSV, OneDrive, Google Analytics, Dropbox, SQL databases.
• No memory or speed constraints: Migrating a BI system to a robust cloud environment with Power BI integrated does not create memory or speed constraints, enabling the data to be retrieved and analyzed efficiently. Power BI uses the pivot data modeling engine, a columnar database that reduces data sizes from about 1GB to about 200MB, thereby improving performance.
• Reports published securely: Power BI automatically refreshes data and publishes reports securely, ensuring that you always have access to the latest information.
• Custom visualization: PowerBI offers a variety of predesigned data visualizations allowing you to create interactive reports or dashboards. In addition, we can add customized visualizations created by Power BI community members to enhance the reports.

Next, let’s talk about Power BI project ideas you can work on and include in your portfolio. Furthermore, these projects allow you to practice and acquire practical experience with the various tools used for data visualization.

In order to help you broaden your knowledge and enhance your skills in Power BI, we have listed 10 Power BI project ideas based on your level of expertise. Newbies can browse through the list of Power BI projects ideas for beginners, whereas intermediates and advanced users can browse through the list of Power BI projects for intermediates and advanced users. For practice, you can select any of these power bi projects for upskilling in the Data Science space and improving portfolio. 

For beginners, it’s important to improve data analytics and visualization skills, as well as how to use different techniques to make reports more appealing. Here are some Power BI project ideas for beginners:

Businesses should keep detailed records of their sales because these records can provide valuable insight into how well their business is performing, which items are proving successful, and what changes can be made. Businesses with good records are more likely to succeed. The problem arises when there is a lot of data, and keeping track of everything can become a challenge. This is where Power BI came into play. 

Using Sales Data Analysis Project, companies are able to keep track of their sales and get answers to all of their questions about how they performed. As part of this project, we’ll be visualizing Microsoft’s sample dataset to show a profit by product and sales, as well as other key factors that may affect a company’s performance. However, the data set needs to be connected to Power BI Desktop so that irrelevant data can be removed before visualization and exporting of the filtered data as dashboards. There are various Power BI visualization types you could use for the dashboard, including Pie Charts, Bar Charts, Doughnut Charts, Funnel Charts, etc. Using the same sample dataset (Microsoft’s sample dataset), more Power BI projects can be developed and advanced visualizations can be made.

Source Code: Sales Analysis

An effective marketing campaign is a great way to reach consumers, clients and leads. An analysis of your campaign data can provide you with valuable insight into your target audience, marketing channels, and budget. Then you can figure out how (or how not) to run your next campaign. This is where Power BI came into play.

We propose this project to show off the efficiency of various marketing campaigns and the features performance analysis of products and platforms can be done. ​You can use this project to assess the success of marketing campaigns and various activities carried out under his management. This beginner-level project can be done with the Marketing Analytics dataset (this project provides insight into the customer’s profile preferences and channel performance). This dataset can be used for EDA, statistical analysis, and visualizations.  A Power BI dashboard could have several types of visualization, such as Bar Charts for category-wise expenditures, Smart Narratives for highlighting key aspects of the campaign, Bubble Charts for customer-wise spending, Column Charts for campaign success rates, Cards for highlighting individual insights, etc.

Source Code: Marketing Campaign Analysis

Microsoft Power BI is used for financial analysis to gather and analyze KPIs (Key Financial Indicators), charts, and financial statements. The purpose of this BI project is to optimize financial reporting in a firm that provides accounting services to clients seeking timely delivery of critical financial reports. Through this analysis, you will be able to access reliable financial reports quickly and efficiently. Multi-company financial datasets may be utilized for this project. 

The project outlined here can also be applied to the migration of traditional financial reporting from Excel to BI dashboards, allowing customers to track their financial health and productivity more effectively. ​In this project, Power BI data visualization options can be utilized for three scenarios as given below: 

• Funnel charts, combo charts (such as column charts, waterfall charts, line charts) for the summary page or overview page; 
• Cards, Funnel Charts, and Combo Charts (such as Line Charts and Column Charts) for the income statement page; 
• Cards and Tables for the balance sheet page.

Source Code: Financial Analysis

A major challenge that modern enterprises face is customer migration (churn). Churn, or customer attrition, is the act of customers stopping purchasing from a business or interacting with it. What can we do to overcome this challenge? The idea is to know the reasons why customers churn, the factors that impact that, so that appropriate measures can be taken to retain them. This is where Power BI comes into play.

Through this Customer Churn analysis project, one can uncover what causes your customers to stop using your product or service. Business leaders, managers, or analytical users can use this Power BI project to analyze regional business growth and the profit distribution among customers. With the right visualization and data structure, they can receive extensive data. As part of the project, regional cash inflows will be considered, as well as product-specific churn over the course of time. To complete this beginner-friendly project, you will need the customer segmentation dataset .  ​In this project, Power BI data visualization options can be utilized for different scenarios as given below: 

• Combo Charts, Bar Charts, Line Chart, Cards, Tables, etc., for overview page.
• Column Charts, Bubble Charts, Point Maps, Tables, etc., for the customer segmentation page.

Source Code: Customer Churn Analysis

You may already be familiar with the Power BI tool and are interested in strengthening your skills further as a Data Scientist . Check out these Power BI project ideas for your resumes:

A global health expenditure analysis provides comparative data on health expenditure for 192 countries over the last two decades. In this project, PyCaret (Machine learning library in Python) is used for implementing clustering analysis in Power BI. Clustering involves gathering data items having similar features. These classifications aid in examining datasets, detecting patterns, and analyzing data, while data clustering assists in identifying underlying data structures.

For this project, you can use the current health expenditure dataset from the WHO (World Health Organization) Global Health Expenditure Database. You could also use the K-Means algorithm to conduct your clustering analysis. Once the dataset has been loaded in Power BI Desktop and trained your clustering model has in Power BI, you can visualize the cluster labels in Power BI Dashboard in order to gain insights. You might choose visualization chart types such as Bar Charts, Filled Maps, etc., for the summary page dashboard, while you can use Point Maps for the detailed visualization.

In this project, various aspects of global energy production and exchange are covered. Several topics are analyzed in this project, including the expansion of wind energy the use of energy consumption to compare national economies, and many more.

Make use of the international energy statistics dataset for this project idea. ​ As a result of this effort, Power BI dashboards will display total energy statistics, including production, exchange, and usage of primary/secondary energy, new/renewable energy sources, as well as conventional/non-conventional energy sources. ​In this project, Power BI data visualization options can be utilized for different scenarios as given below: 

• Bar Charts, Cards, Flow Maps, etc., for the overview/summary page; 
• Bar Charts, Ribbon Charts, Treemaps, etc., for the energy production and exchange pages, etc.

Credit cards are being used more and more these days, which has led to an increase in fraudulent transactions (unauthorized access to an individual’s accounts or payments). Credit card fraud detection is one of the most important applications of anomaly detection. This is where Power BI comes into play. Anomaly Detection in Credit Card Transactions Project is basically a method used to identify the suspicious occurrence of data or events (outliers) that may pose problems for the concerned authorities. It is a machine learning technique used to find unusual events, things, or observations that seem suspicious during credit card transactions. There are three ways you can apply this method as given below: 

• Semi-supervised (for trained datasets)
• Unsupervised (for datasets without any labels)
• Supervised (for labeled datasets) 

If you are working on this project, you can either use the card fraud detection dataset or the credit card dataset. The first step is to import the dataset into the Power BI desktop, possibly through a web connector. Power BI can then be used to train your anomaly detector or you can use a pre-trained model. Outliers in Power BI can be labeled by running a Python script in the Power Query Editor and then using the get_outliers() method. After that, the Outliers can be visualized in Power BI Dashboards.  Line charts, bubble charts, treemaps, etc., are all can be used in Power BI dashboards for data visualization.

Source Code: Credit Card Fraud Detection

Finally, we’ve listed a few Power BI project ideas for professionals who are looking for some interesting projects to work on:

Covid-19 wreaked havoc on the entire human civilization, which we all know. Due to the sudden outbreak across all countries, global leaders were forced to take drastic measures to prevent the disease from spreading. This is where Power BI comes into play.

This Covid insight analysis project seeks to provide a comprehensive overview of the pandemic’s essential parameters and a detailed account of the situation at the national level. A Power BI dashboard can be created which displays valuable information regarding active cases, deceased cases, and recovered cases, as well as mortality and recovery rates by nation and timeframe. A dashboard can even provide a detailed analysis of the individual report pages, along with a management summary of the most important KPIs. It is an excellent project and makes you aware of how things are going. Heat Maps can also be used to enhance the dashboard visualization of your project.

For this project idea, you can use the Covid-19 dataset. As given below, Power BI data visualization options can be used for different scenarios in this project: 

• Bar Charts, Point Maps, Line Charts, Column Charts, etc., for the overview page
• Doughnut Charts for category-wise case analysis 
• Decomposition Trees for country-wise case analysis

Source Code: Covid Analysis

Globally, the aviation industry saw massive growth in passenger numbers. Right now, there are over 5,000 aircraft taking passengers and cargo around the world. However, maintaining these flights requires a lot of planning and quick decision-making. This is where Power BI comes into play.

In the Airport Authority Data Analysis project, airport data will be analyzed to provide a clear picture. On the summary page of Power BI dashboards, you can see the number of flights (incoming and outgoing), the number of delays (arrivals and departures), feedback from passengers, and ground processing times. Airport management authorities could use this type of analysis to make timely decisions when flight changes, emergencies, or delays occur. The Airline delays and cancellation dataset can be used for this project idea. As given below, Power BI data visualization options can be used for different scenarios in this project: 

• Cards, Bar Charts, Tornado Charts, TreeMaps, Flow Maps, etc., for flight analysis. 
• Column Charts, Cards, Bar Charts, etc., for the passenger feedback.

A key metric for measuring population health is life expectancy. It is beneficial to analyze life expectancy data when considering the health of a population, its characteristics, and when studying human diseases and natural population fluctuations. This is where power BI comes into play.

In the Life Expectancy Data Analysis project, factors like immunizations, mortality, finances, social issues, and other health-related issues will be considered. This will allow countries to determine the predicting factor impacting a lower life expectancy. It will also be useful in helping a country determine which areas should be prioritized to increase life expectancy. For this project, you can utilize the WHO  life expectancy dataset . As given below, Power BI data visualization options can be used for different scenarios in this project: 

• Pie Charts, Gauge Charts, Line Charts, Point Maps, etc., for the overview page 
• Treemaps, Doughnut Charts, Tornado Charts, for depicting country-wise data, etc.

Source Code: Life Expectancy

Power BI is one of the most powerful business intelligence tools for analyzing and visualizing data. Throughout this article, we discussed what Power BI is, why it is important, and the top 10 Power BI project ideas you can implement to improve your data analysis and visualization skills. Power BI project examples generally aid companies in gaining actionable insights from better visualization of their data. Using Power BI, users can create interactive dashboards and share them across the internet. Power BI also allows you to collaborate with other users and stakeholders on separate projects.

These Power BI project ideas will allow beginners, intermediates, and professionals to hone their skills and learn how to truly integrate business intelligence and data science. ​As you work on these project ideas, you’ll gain a greater understanding of how Power BI can be used for a data-driven approach towards various data science industries.

Is Power BI going away?

Sol: Power BI is one of the most popular business intelligence tools in the world that converts data into meaningful information, and therefore its popularity will never dwindle. In addition, it is a Microsoft product, which has been a dominant force on the market worldwide. It will continue to be one of the most competitive BI tools among its rivals like Tableau, Qlik Sense, etc. 

Is Power BI used for project management?

Sol: Yes, it is possible to use Power BI for project management. Essentially, Power BI is a tool that delivers actionable insights for business leaders and project managers based on internal and external research data. Through Power BI, project managers can gain a clearer picture of their projects, track them more effectively, eliminate manual report generation, and devote more time to their teams.

Is Power BI a good career?

Sol: As the leading business analytics tool among all BI tools, Power BI is a key contender. The increasing popularity of Power BI has led to an increased demand for Power BI professionals. Among the highly sought-after Power BI career prospects are Power BI developers, consultants, and analysts. As such, Power BI has a bright future and is a popular career field to switch into

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Top 15 Power BI Project Ideas for Practice (2023)

In the dynamic landscape of data analysis and business intelligence, Power BI has emerged as an essential tool for businesses and professionals aiming to utilize the potential of data-driven decision-making. Whether you're a seasoned data analyst or a newcomer to the field, engaging in practical projects and hands-on experience can significantly enhance your Power BI skills. This article compiles a comprehensive list of top Power BI projects that cater to various skill levels and industries. Engaging in these Power BI projects will provide you with hands-on experience, sharpening your data analysis and Power BI skills for excellence in this dynamic field.

What is Power BI?

• Power BI, a business intelligence and data visualization platform developed by Microsoft, enables users to connect to various data sources, transform and model data, and create interactive visualizations and reports.
• With its user-friendly interface and advanced features, Power BI enables businesses to derive actionable insights from large volumes of data, make data-driven decisions, and gain a competitive edge.
• Whether analyzing sales trends, monitoring KPIs, or discovering hidden patterns, Power BI empowers users at all levels to explore, visualize, and share data seamlessly and efficiently.

What is Power BI Used For?

Here are a few of the key applications Power BI is used in organizations -

• Data Visualization - Power BI is used to create visually appealing and interactive dashboards that help present complex data in an easily understandable format.
• Business Intelligence - It enables businesses to gather insights from various data sources, aiding in informed decision-making and strategic planning.
• Data Analysis - Power BI facilitates the analysis of large datasets, enabling users to identify trends, patterns, and correlations for better understanding.
• Report Generation - It streamlines the process of generating detailed and customized reports, automating routine reporting tasks.
• Data Collaboration - Power BI allows teams to collaborate on data projects, share insights, and work collectively on data-driven projects.

How To Do Visualization in a Power BI Project?

Visualizing data effectively is a cornerstone of Power BI projects. You can begin by importing your data from various sources like databases, CSVs, spreadsheets, or online platforms. Once your data is loaded into Power BI, you can select from a wide range of visualization options, including charts, graphs, maps, and tables. You should choose the appropriate visualization type based on the nature of your data and the insights you want to convey. For instance, you could choose a column chart to showcase product sales across different months, a pie chart representing the percentage distribution of sales by product category, or a map to visualize regional sales performance.

Customization is key - you also have the flexibility to customize the appearance of your visualizations by adjusting colors, fonts, and labels to ensure they align with your project's theme and branding. For instance, if you're analyzing customer feedback, you might want to use a sentiment analysis visualization that color-codes sentiments as positive, neutral, or negative.

You can also use filters and slicers to enable interactivity, allowing users to explore data subsets and uncover specific trends. To enhance storytelling, create a dashboard by arranging multiple visualizations on a single canvas. Utilize features like drill-through and tooltips to provide additional context and detail. For instance, users could click on a particular product category to see detailed sales figures.

Regularly preview and fine-tune your visualizations to achieve clarity and impact. By mastering the art of visualization, you can transform raw data into compelling narratives that drive meaningful insights and decisions.

15 Power BI Project Examples

Within this article, you'll find a compilation of 15 Microsoft Power BI projects. These Power BI projects are organized into three tiers - beginner, intermediate, and advanced. Feel free to select any of these Power BI projects to enhance your proficiency in the realm of Data Science and Analysis through hands-on practice. Let’s explore these Power BI projects in the subsequent sections.

Beginner-Level Power BI Project Basic Examples

In this section, we've compiled a selection of Power BI projects tailored for beginners. Engaging with these simple Power BI projects will provide you with insight into the applications of business intelligence and pave the way for a prosperous journey as a budding data scientist.

Customer Churn Analysis

The Customer Churn Analysis project is a simple and popular example that helps you learn how to use Power BI. This project focuses on studying customer behavior, specifically when they churn, that is, stop using a service or buying a product. By looking at the sales and profits of products in different regions, you can understand which areas are doing well and distribute profits effectively. The goal is to determine how to keep customers engaged and prevent them from leaving. To do this, you'll create different types of visual displays, like charts and graphs, that show how sales change over time and how different products perform.

You can use a dataset from Kaggle to perform a Customer Churn Analysis that contains information about different customers. This project is perfect for beginners who want to grasp Power BI's capabilities.

Product Sales Data Analysis

Analyzing sales data is crucial for businesses to understand how well they're doing. But when there's a lot of data, it can be a hard task to keep track. This project helps companies by looking at their sales info and showing which products are making the most money.

Using a dataset provided by Microsoft , you'll connect it to Power BI and perform data cleaning to remove irrelevant records to only focus on the important info. Then, you can make visual displays like Pie Charts, Bar Charts, and more to help everyone see the sales info clearly. This way, companies can make better decisions about their products and sales strategies.

Marketing Campaign Insights Analysis

The Marketing Campaign Insights Analysis project aims to demonstrate how well different marketing campaigns and product groups are doing. It helps marketing managers understand which campaigns are successful.

You can work with a dataset from Kaggle containing marketing data. By creating a data visualization dashboard using Power BI, you can show information like how much money is spent on each category, how well campaigns are performing, and key highlights of the campaign. You can use charts like Bar Charts and Column Charts, as well as features like Smart Narratives to highlight important points. This project is great for beginners and gives marketing managers useful campaign insights.

Financial Performance Analysis

The Financial Performance Analysis is a fascinating project for people new to Power BI. In this project, you'll focus on improving how a company that offers accounting services analyzes its finances. The goal is to ensure they can quickly get the important financial data they need. This project could involve moving from using Excel for financial reports to using Power BI dashboards. This change would help clients see their financial situation better and how well they're doing. It's a great way to learn Power BI while helping a company become more efficient in understanding its finances. For this project, you can download and use the data from Kaggle .

Healthcare Sales Analysis

This Healthcare Sales Analysis project is designed for the Animal Healthcare industry to keep track of product sales for treating minor animal species. It helps businesses compare sales between different cities and see how well their products are selling. The project can create a detailed report on which types of products are selling the most and how sales are changing over time. You can use a dataset about pharmaceutical sales from Kaggle .

In Power BI, you can use different types of visuals like Tables to display sales by product type, Column Charts for monthly sales trends, and Bar Charts for comparing sales in different cities. You can also explore features like Treemaps, Cards, and Smart Narratives.

Intermediate-Level Power BI Project Ideas

If you're already familiar with the Power BI data visualization tool and are eager to enhance your data analytics skills, particularly as a Data Scientist or Data Analyst, consider these Power BI projects to enrich your resume -

Anomaly Detection in Credit Card Transactions

Our first Power BI project idea is about detecting anomalies or unusual activities in credit card transactions, known as "Anomaly Detection." Anomaly Detection is a way of using machine learning to find transactions that are different from the norm and might be suspicious. There are three methods to do this - supervised (when you have labeled data), semi-supervised (for normally behaving data), and unsupervised (for data without labels).

For this project, you can use the credit card dataset by Delaware, available on their open data platform, or the credit card fraud detection dataset from Kaggle. First, you bring the dataset into Power BI desktop, maybe using a web connector. Then, you can use Power BI to train a system to identify anomalies, or you can use a pre-trained model. To label outliers in Power BI, you'll need to run a Python script in the Power Query Editor, using the get_outliers() method from PyCaret library. Lastly, you can use Power BI Dashboard to display your findings. You could also train your anomaly detection model in another tool/IDE and then use Power BI to label the anomalies. To visualize the results, the Power BI dashboard offers various tools like Line Charts, Bubble Charts, and TreeMaps.

AutoML Cashflow Optimization for Insurance Company

AutoML, short for automated machine learning, is a method that automates the time-consuming, iterative, and complex steps of machine learning. It helps data experts quickly create effective machine learning models. The main aim of any AutoML solution is to find the best model based on how well it performs.

In this project related to business intelligence, you'll use a dataset from Kaggle about medical costs. The task is for an insurance company that wants to better predict patient expenses using factors like patient details and health risks. This way, they can manage their finances better. The first step is using Power BI Desktop to open and copy the dataset. Then, you'll run a Python script using Power Query, where you can train, compare, and evaluate performance of different models with the compare_models() method from PyCaret library. This helps you see which model works best. You can also use the automl() function to find the top-performing model. For the final dashboard, you can use Power BI to create visuals like Bar Charts, Bubble Charts, and Tables to display the results.

Global Health Expenditure Analysis

This project focuses on using clustering analysis with PyCaret in Power BI. Clustering is a way to group similar data together to understand patterns and structures.

For this project, you can work with the health spending data from the WHO Global Health Expenditure database. This dataset covers health expenses as a part of each country's GDP for more than 200 countries from 2000 to 2018. You can use the K-Means clustering algorithm to group the data. Once you load the data into Power BI Desktop and create the clustering model, you can visualize the clusters on a Power BI Dashboard. For an overview page, you can use visuals like Filled Maps and Bar Charts, while for a detailed look, you can use Point Maps. This project is a great way to learn how to use clustering to understand health spending patterns across the globe.

Analyzing Loan Applications

This project involves examining data from loan applications to uncover hidden 'topics,' which help evaluate the impact of specific loan types on the default rate. This is done by using a technique called Latent Dirichlet Allocation (LDA) topic modeling in Power BI. Topic modeling is a way to figure out the main themes in a set of documents.

For this task, you can work with the Kiva dataset available on GitHub. This dataset includes information about loans from 6,818 potential borrowers that were accepted. It contains details like loan amounts, borrower nationality, gender, and some text data from their applications. Once you bring this dataset into Power BI Desktop and train your model, you can visualize the results on a Power BI dashboard. You can use features like Word Clouds, Pie Charts, Bar Charts, and Scatter Charts to show the topics and their impact. This project helps you explore how different factors affect loan defaults using advanced techniques in Power BI.

Interactive Visualization of Movie Sales

The movie sales visualization project is a really fun Power BI project idea. The goal is to take data about how much money movies make and make it into a cool interactive display. You can use the IMDb dataset that covers the years 2006 to 2016, available on IMDb and Kaggle. This dataset has info about movies with a score of 6 or more on IMDb, including Budget, Gross earnings, Genre, and Scores.

You can make a special Radial Bar Chart and use Slicers to choose Genre, Country, and score range directly in Power BI. This lets you see things like the Average Score and how much money movies made in the selected group. By using a Histogram on the scores with filters for year and genre, you can show how often certain IMDb scores appear. A KDE plot is another neat feature that shows a density graph, helping you understand the average rating for a specific genre and how scores are distributed over time.

Advanced-Level Power BI Project Ideas

Lastly, we've compiled a selection of advanced Power BI projects with datasets, tailored for professionals seeking intriguing challenges to further elevate their Power BI skills.

Airport Authority Data Analysis

The Airport Authority Data Analysis project is all about understanding important airport information. This includes the total flights (coming and going), delays (arrivals and departures), time for ground operations, and even passenger feedback. All these details can be shown on a dashboard's main page. This project's purpose is to help airport managers make quick decisions based on data, especially during flight changes, emergencies, or delays.

To do this project, you can use the Airline Delays and Cancellation dataset from Kaggle. This dataset covers airline data from 2009 to 2018, giving insights into trends over time. For flight analysis, you can use Power BI visuals like Cards, Bar Charts, Flow Maps, TreeMaps, and Tornado Charts. To show passenger feedback, Bar Charts, Column Charts, or Cards might work well. This project gives you the chance to learn how Power BI can help manage airport operations effectively.

Covid-19 Insights Analysis

The Covid-19 Insights Analysis is a highly popular Power BI project choice. It's about taking a deep look at the key parts of the Covid-19 pandemic - the current situation and details about different countries. You'll make a dashboard that shows important info about cases (active, deceased, and recovered), mortality rates, and recovery rates for each country and over time. This dashboard might also have a summary of the main KPIs (key performance indicators) and in-depth analysis on separate pages.

For this project, use the Covid-19 dataset from Kaggle. To visualize the data in Power BI, you can use features like Bar Charts, Point Maps, Line Charts, and Column Charts for the main overview. For a closer look at case categories, Doughnut Charts work well. And if you want to analyze cases by country, Decomposition Trees are a good option. Heat Maps can also make your dashboard more informative and engaging. This project lets you learn how Power BI can help understand Covid-19 data in a meaningful way.

Construction Permit Data Analysis

The Construction Permit Data Analysis project aims to help construction companies get a deep understanding of the industry. This means looking closely at specific details and exploring important events. You can focus on things like how investments grow over time, where investments are focused, and if they're influenced by factors like Category, Contractor, or Individual. You'll also study the market's status and which categories, individuals, and permits play a big role.

For this project, use the Seattle building permits dataset from Kaggle. To visualize data in Power BI, you can use tools like Regional Maps, Pie Charts, Bar Charts, Tables, and Cards for the main page. For more details, Bar Charts and Line Charts can show how contractors compete and how different categories are growing. This project helps you see how Power BI can provide insights into the construction permit industry.

Global Energy Trade Analysis

The Global Energy Trade Analysis is one of the really unique Power BI projects. It's all about understanding the exchange and production of energy worldwide. This project touches on several areas, like the growth of wind energy and comparing economies based on energy use.

To tackle this special project, you can use the international energy statistics dataset from Kaggle. Your resulting dashboard could show energy stats on things like production, exchange, and usage of different energy sources. You'll cover both conventional and non-conventional energy sources, as well as new and renewable ones. For this dashboard, Power BI offers visuals like Bar Charts, Flow Maps, and Cards for an overview. And for specific sections, you can use Ribbon Charts, Treemaps, and more Bar Charts. This project teaches you how Power BI can provide insights into the complex world of global energy trade.

Life Expectancy Data Analysis

The Life Expectancy Data Analysis project is about understanding what affects life expectancy. It looks at things like vaccinations, deaths, money, social aspects, and other health-related factors. This helps a country figure out what leads to lower life expectancy. It also helps them decide where to focus efforts to increase how long people live.

To do this, you can use the life expectancy dataset from the World Health Organization (WHO) on Kaggle. Power BI offers visuals like Gauge Charts, Pie Charts, Line Charts, and Point Maps to give an overview. For country-specific details, you can use Tornado Charts, Doughnut Charts, and Treemaps. This project teaches you how Power BI can provide valuable insights into life expectancy and health-related issues.

Power BI Projects Github

Here are some unique and interesting project concepts from GitHub that can help you grasp the diverse ways Power BI can be used.

Twitter Analysis Dashboard

This project involves building a complete pipeline for analyzing Twitter data, from start to finish. To work on this Power BI project, you can get Twitter data from GitHub . The process involves extracting the data, changing it from JSON to CSV, and adding new attributes as needed. Using NLP analysis, you'll categorize the content of tweets and find out how positive or negative they are. Once the data is prepared, you can use Power BI to create detailed reports. To design the dashboard, you'll make use of different types of visuals like pie charts, bar graphs, line charts, tree maps, and doughnut charts, among others.

OTT Media Dashboard

This distinctive Power BI project involves displaying different kinds of data from various OTT platforms like Netflix, Hotstar, and Amazon Prime. To get started, you can obtain the OTT media platform dataset from GitHub. Use Power BI's Query Editor to clean and prepare the data. Once your data is set for visualization, you can showcase the information using a variety of visual tools like plots, graphs, cards, and more. This project helps you explore how Power BI can make OTT media data easier to understand and analyze.

AdventureWorks Database Analysis

For this project, you'll dive into the AdventureWorks data available on GitHub . The analysis and visualization process involves using Microsoft SQL Server Management Studio for querying data and Power BI for creating visual displays. Additionally, Microsoft Excel and Power BI's query editor can be used for in-depth analysis. This project helps you explore the AdventureWorks dataset and understand how to leverage various tools for analysis and visualization.

Power BI Report Examples

Here are a few compelling examples of Power BI reports that demonstrate the effectiveness of data visualization through the Power BI tool. These examples will help you comprehend the impact of using Power BI for visualizing data.

Retail Analysis Power BI Report

In this retail analysis report, you'll find a dashboard that examines sales data for products sold by different retailers across various regions. The dashboard includes insights into new store performance and a comparison between the current year and the previous year. This comparison covers key metrics like sales, units sold, gross margin, and variations.

Global Covid-19 Analysis Power BI Report

Through interactive visuals using easily accessible data, the Global Covid-19 Analysis Report provides a comprehensive view of COVID-19 trends across the globe. The report features maps that display crucial aspects like Vaccination rates, Progress toward zero cases, Rt values, Spread Analysis, Testing rates, and Risk Levels.

Inventory Stock Analysis Power BI Report

This report delves into inventory stock analysis, offering insights into stock inventory trends for the year 2018. With this interactive dashboard, you can make predictions about the "Availability of Stock" and "Time to Replenish Stock." These predictions are based on data from the fulfillment cycle and markdown variance, providing valuable insights for inventory management.

Cancer Analytics Power BI Report

The Cancer Analytics report provides both a concise overview and an in-depth analysis of cancer patients in the United States. Through this report, you can examine the mortality rates associated with various types of cancer, categorized based on multiple factors. By utilizing the Cancer Analytics Dashboard, you can make informed decisions regarding the increasing number of cancer patients in the country.

Customer Analysis Power BI Report

The Customer Analysis Report focuses on product sales and profits from local customers. This report is particularly valuable for those interested in analytics, as it provides insights into the distribution of customer profits and business expansion in different regions. The main attractions of the Customer Analysis report dashboard include visualizing cash inflow in specific regions and tracking turnover for different products among clients.

Master Data Visualization With These Power BI Projects

Whether you're a beginner or an expert, these real-time Power BI projects are designed to enhance your skills and help you master the art of integrating business intelligence into Data Science. By taking on these project ideas, you'll gain a deeper insight into using Power BI to adopt a data-driven approach across various data science fields, preparing you for potential job roles. If you're searching for free Power BI projects with solutions, platforms like GitHub or Kaggle offer great resources.

Q. What projects can I do with Power BI?

A. You can explore a wide range of projects using Power BI to enhance your data analysis and visualization skills, as mentioned in this article. If you are a beginner to the Power BI, you can work on the Customer Churn Analysis and Product Sales Data Analysis. If you are at intermediate level, then you can experiment on the Anomaly Detection in Credit Card Transactions and Movie Sales Visualization. Advanced users of Power BI can work on Covid 19 and Twitter Analysis Dashboard to elevate their Power BI skills.

Q. How do you practice Power BI?

A. The best way to practice Power BI is through hands-on experience with various projects. Start by selecting projects that match your skill level, such as customer analysis, sales data analysis, or COVID-19 insights. This practical approach not only enhances your proficiency but also equips you with real-world problem-solving abilities using Power BI's tools and features.

Q. Where can I get practice data for Power BI?

A. You can find practice data on platforms like GitHub and Kaggle, where datasets related to various domains are available for free. These platforms offer a wide range of datasets that you can use to explore and develop your Power BI skills. Additionally, the Power BI service provides pre-built sample datasets, making it convenient to start practicing directly within the platform itself.

• Power BI projects, mentioned in this article, offer a diverse range of opportunities for both beginners and professionals to sharpen their data analysis and visualization skills.
• These projects provide hands-on experience in tackling real-world data challenges, enabling you to derive valuable insights and make informed decisions.
• The projects span various industries, from healthcare to finance, giving you a chance to explore and understand data dynamics across sectors.
• By mastering Power BI through these projects, you're preparing yourself to excel in the data-driven world and become job-ready in the realm of data science and business intelligence.

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Welcome to The Power BI Experience 6 Lectures

Welcome to Power BI 2.0

How Learning Power BI Can Help You in Your Career?

How This Course is Different From Other Courses Online

How to Get Support if I Have a Question?

Who Can Take this Course?

System Requirements

Enhance your learning experience 2 lectures.

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Power BI Basics: Getting Started 13 Lectures

Install Power BI

Power BI: Tool Introduction

Power Query: Intro & Column Transformations

Power Query: Merging and Appending

Power Query: Best Practices

Introduction to DAX

Introduction to DAX - II

Introduction to Data Modeling

Introduction to Creating Visuals

Tony asks Peter to Fix Data Holes

Practice Exercise

Chapter Summary

Project Planning and Scoping 9 Lectures

Problem Statement

The Email that Started this Project

Project Kick-off Meeting

Learn how a ‘Project Charter’ is Used in Companies

Project Kick-off: Session Debrief

Senior Data Analyst Sets Up the Next Steps with Junior Data Analyst

Simplified: Profit and Loss Statement

Power BI Basics: Data collection, Exploration & Validation 10 Lectures

Simplified: Data Warehouse, OLTP vs OLAP, Data Catalog

Install MySQL and Import Data

Simplified: Data Exploration Using SQL, Star Schema, Fact vs Dimension Tables

Load and connect data with MySQL (instructor)

Create a Date Dimension Table

Validate Data against Benchmark Numbers

Tony’s Valuable Advise to Peter

Power BI Basics: Data Transformation in Power Query 8 Lectures

Review Finance View Mockups

Transform Data in Power Query Editor

Create Calculated Columns in Power Query Editor

Power Query Best Practices

Peter Gets His Hands Dirty

Get Your DAX Fear Removed 9 Lectures

Peter's Fear for DAX

DAX Behaviour: Filter Context

DAX: Using Calculate to Change Filter Context

All and ALLEXCEPT

Direct Filters and FILTER Function

DAX Calculated Column

Power BI Advanced: Data Modeling & Calculated Columns 11 Lectures

Power Query or DAX for Generating Calculated Columns?

Data Modelling: Star and Snowflake Schema

Data Modeling: Connect Dimensions with Fact Tables

Simplified: Why Do We Need Dimension Tables?

Mentor Talk: Congratulations! You are Levelling Up!

Create Calculated Columns Using DAX

Easy Way to Verify Your Numbers in Power BI

Assignment: Optimize Report and Reduce File Size by 25 %

I Need a Favour

Power BI Advanced: Build Finance View 15 Lectures

Finance View: Prepare a List of Metrics

Simplified: Calculate Function & Filter Context

Finance View: Creating Metrics

Finance View: Create P&L Table Structure

Finance View: Create Last Year (LY) Column

Finance View: Build an Ultimate DAX Measure for P & L Table Structure - I

Finance View: Build an Ultimate DAX Measure for P & L Table Structure - II

Finance View: Create ‘Quarters’ & ‘YTD/YTG’ Slicers

Mentor Talk: Figuring Out Solutions

Finance View: Create a Line chart to Show Performance Over Time

Finance View: Build Top Product, Market & Region Visuals

Intermediate Review: I Met Product Owner Nick and He Gave this Feedback!

Finance View: Add Net Profit

Power BI Advanced: Build Sales, Marketing & Supply Chain View 10 Lectures

Review Sales View Mockup

Sales View: Build Top Customers & Performance Matrix Visuals

Sales View: Build Product Performance & Unit Economics Visuals

Build Marketing View

Simplified: Supply Chain Basics

Supply Chain View: Review Mock Up

Supply Chain View: Build Key Measures

Supply Chain View: Build Visuals

Power BI Advanced: Designing an Effective Dashboard 9 Lectures

Simplified: Dashboard vs Report

15 Design Rules for an Effective Dashboard

Finalize Page Layout Design

Create Home Page

Design Finance Dashboard

Add Key Elements to Finance Dashboard

Copy the Design to Sales, Marketing & Supply Chain Dashboard

Power BI Advanced: Data Validation Set Up in PBI Service 6 Lectures

Create a User Acceptance Test report

Create a Power BI account

Create a Workspace in Power BI

Create a Live Excel Report from Power BI

Stakeholder review & Feedback implementation 16 Lectures

Stakeholder Analysis and its Significance

Peter Recalls the Stakeholder Mapping Meeting

Stakeholder Review Meeting: How did it Go?

This is the secret to be ‘Job Ready’!

Practice Exercise: Quick Fixes

Quick Fix: Chg% formula

Practice Exercise: Implementing Dynamic Benchmark

Practice Exercise: Adding Dynamic Slicer to Filter Visual

Practice Exercise: Create a Toggle Button to Switch between Two Visuals

Practice Exercise: Create a Tool Tip to Show Trend

Learn: Adding Market Share Data

Practice Exercise: Create an Executive Dashboard

Learn: Performance Optimization

Learn: Fix Data Quality Issues

Deploying the Solution: Power BI Service 7 Lectures

Power BI Service Overview, Report Sharing, and Apps

How to Set Up Automatic Data Refresh: My SQL

How to Set Up Automatic Data Refresh: Excel

Simplified: Collaboration, Bookmarks, and Insights in Power BI Service

Driving the Extra Mile: Documentation and Maintenance

Portfolio, Resume and Job Application 9 Lectures

Get a Shareable link for your Power BI project

Share Your Power BI Project with Potential Recruiters

Differentiate Your Work with New Design

How to differentiate your work - Expert Webinar

Write an Amazing Resume

Job Application Tips

Interview Tips

Interview Checklist

Practice Exercise Solutions 11 Lectures

Solution: Quick Fixes

Solution: Implementing Dynamic Targets (Add Targets)

Solution: Implementing Dynamic Targets (Create a dynamic switch between Targets and LY)

Solution: Implementing Dynamic Targets (P & L visuals to compare Target or LY based on selection)

Solution: Adding Dynamic Slicer to Filter Visual

Solution: Create a Toggle Button to Switch between Two Visuals

Solution: Create a Tool Tip to Show Trend

Solution: Create an Executive Dashboard (KPI Visuals)

Solution: Create an Executive Dashboard (Key Insights by Subzone )

Solution: Create an Executive Dashboard (Market Share Visual & Conditional Formatting)

Solution: Create an Executive Dashboard (Final Enhancements)

More Practice 6 Lectures

One more practice Project

Feature Request from Mr. Haryali

Interview Scenarios

Interview Scenario 1

Interview Scenario 2

Interview Scenario 3

PBI Monthly Update Tasks 5 Lectures

Feature Update Task - 1

Solution: Task - 1

Feature Updates Task - 2

Solution: Task - 2

Course Completion Test 1 Lecture

What you'll learn.

• Power BI Essentials (DAX, Power Query, Data Modeling & Visualization)
• Dashboard Designing Techniques
• End-to-end Power BI project process (Scoping to Deployment)
• Effective Communication Techniques to Business Stakeholders
• Advanced Power BI Tricks
• Business Function Fundamentals (Finance, Sales, Marketing & Supply chain)
• Consumer goods business domain knowledge
• Problem solving mindset
• We recommend you install the Power BI desktop app (It’s free) from the Microsoft App store and check if your PC meets the below requirements.
• OS: Windows 10 version 14393.0 or higher
• Architecture: x64
• Memory: 4 GB or more (Recommended)
• Processor: 1 GHz or faster (Recommended)
• Display: 1440*900 or larger display resolution (Recommended)

Course Instructors/Creators

Dhaval Patel

Data Entrepreneur (12+ Years), YouTuber, Ex - Bloomberg, NVIDIA

I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching.

Hemanand Vadivel

Ex- Data Analytics Manager, 8+ Years in Europe, Microsoft Certified, Certified Supply Chain Professional

I’m a Mechanical Engineer who transitioned to a full-time Data & Analytics Manager in the UK & Germany. I have delivered 30+ analytics projects over 15+ countries and trained professionals at different levels to equip them with valuable analytics skills.

Frequently Asked Questions

1. i already know basic power bi, what benefit do i get by taking this course.

This course is taught through a true end-to-end project in a Consumer goods company involving all the steps mimicking the real business environment, so you will learn how to execute end-to-end projects Power BI projects successfully along with the business fundamentals. You will learn a lot of extra things such as Project management tools, effective communication techniques & organizational nuances.

2. Will the course help me in PL - 300 Microsoft exam preparation?

Yes, this Power BI course will certainly help because we cover the majority of the skills measured in the PL-300 exam in this course. However, please be informed that this course focuses on Job ready aspects and not on all aspects required to clear PL - 300 exam. In addition to this course, you might need to visit the official learning material designed by Microsoft which is available for free -> https://docs.microsoft.com/en-us/certifications/exams/pl-300?tab=tab-learning-paths

3. Will the course be upgraded when there are new features in Power BI?

Yes, the course will be upgraded periodically to ensure you're learning the latest in Power BI. When new features roll out in Power BI, we update the course material. Learners who have already enrolled in the course will have free access to these upgrades, continuing their journey to learn Power BI.

4. How can I contact the instructors for any doubt/support?

We've designed every lecture to facilitate your path to learning Power BI in an easy-to-understand manner. However, chapters 6-8 introduce real-time job concepts, which might be more challenging. While working on these chapters, it's possible to encounter doubts or errors. We encourage you to develop problem-solving skills by googling and trying to find the answers. If you hit a wall, we've got you covered! Join our active discord community (https://discord.com/invite/aWpq9S5qge) under the "codebasics - power - bi - data - analytics - course" channel. Here, you can discuss and clear your doubts with fellow learners and mentors. Additionally, you can enroll in a video group discussion session at the end of the course, a bonus feature. We hold these sessions as per demand and my availability. Feel free to ask any course or career-related questions in these sessions.

5. What to do if I get this error 'this connector requires one or more additional components to be installed before it can be used' when trying to import data from MySQL data to Power BI?

When the error pops up - click the learn more, and it will take you to the page where you have to download the .net file. After you download it and run the file - restart the computer. You should be good after that.

6. I use tableau, can I take this course?

Absolutely, even if you primarily use Tableau, you can greatly benefit from this Power BI course. It covers concepts outside of the specific tools, including business context, problem-solving, and project management tools. Additionally, it provides a valuable opportunity to learn Power BI, which can broaden your analytics skill set.

7. Power BI or Tableau which one is better?

This question depends on context. If you're discussing pure visualization capabilities, Tableau has a slight edge. However, both tools offer robust data connectors, modeling, and transformation features. Power BI is cheaper and offers tighter integration with the Microsoft environment, which many companies prefer due to their existing use of Excel and other Microsoft tools. As such, there's a significant movement towards Power BI, and job opportunities are growing at a higher rate for those who can effectively learn Power BI. Moreover, Power BI has been leading Gartner’s magic quadrant in BI as the industry leader for the last few years.

8. What dataset is used in this Power BI course? Is it some toy dataset or something that mimics a real-world business problem?

The dataset we use in this course to learn Power BI is crafted from scratch to replicate real-world business scenarios, drawing on our years of industry experience. It includes over a million rows and covers multiple facets of business data such as sales, finance, targets, forecasts, products, etc., offering a realistic and comprehensive learning experience.

9. Does Power BI work in Mac OS/Ubuntu?

Power BI desktop works only in Windows OS. Please look into the system requirements section on this page. However, you can use a virtual machine to install and work with Power BI in other Operating systems.

10. I don’t have a laptop, can I take this Power BI course?

We recommend learning by doing, especially if you're enrolling in our Power BI course. To effectively learn Power BI, it's crucial to have a laptop or PC with at least 4 GB of RAM for hands-on experience.

11. What business concepts and domains are covered in this course?

We have covered the core functions such as Sales, Marketing, Finance, and Supply Chain with their fundamentals related to this course. The domain you will learn in this course is consumer goods which is projected to have more openings and high data analytics requirements at least until 2030.

12. I’m not sure if this course is good enough for me to invest some money. What can I do?

We got you covered. Go ahead and do the lighter version of this course which is still available on YouTube for free. If you like that course and want to learn further, this course is the perfect extension.

13. Will this course guarantee me a job?

We've had great success with a lighter version of this course available for free on codebasics YouTube channel, and many participants reported securing jobs after completing it (see testimonials). This paid course, where you can learn Power BI in-depth, is at least 5x better than the YouTube course, boosting our confidence that you can land a job after completing it. However, we want to be honest and refrain from making impractical promises. Our guarantee is to prepare you for the job market by teaching the most relevant skills, knowledge, and timeless principles good enough to fetch a job.

14. Can I add this course to my resume? If Yes, how?

Absolutely, we have a section in this Power BI Certificate course explaining how you can add the learnings from this course to your resume in a way that will appeal to the hiring team.

15. Is there any prerequisite for taking this course?

The only prerequisite is that you need to have a functional laptop with at least 4GB ram, internet connection and a thrill to learn data analysis.

16. What is different in this course from thousands of other Power BI courses available online?

Most of the courses available on the internet teach you how to build x & y without any business context and do not prepare you for the real business world. This course is rather an experience in which you will learn how to use Power BI & other non-technical skills to solve a real-life business problem using analytics. Here you focus on solving a business problem and in that process learn how Power BI can be used as a tool. This is how you will do the work when you start working as a data analyst/ Business analyst/ Power BI developer in the industry. This course will prepare you for not just fetching the job but, shine in it & grow further.

17. I have never done programming in my life. Can I take this course?

Absolutely! This Power BI course is the perfect starting point for anyone who has never done coding and aims to build a career in the IT/Data Analytics industry. It's equally valuable if you simply aspire to perform better in your current job or business by leveraging data.

18. How long is the Power BI course duration?

The Power BI course consists of 17 hours and 24 minutes of on-demand video content. Through this format, we have made sure that you learn at your own pace, ensuring that you grasp all the concepts effectively.

19. What is the fee for this Power BI course?

The fee for this Power BI course is Rs. 2700. This is an investment towards enhancing your skills and understanding of Power BI, making you more competitive in the job market.

Get Certified

When You Complete This Course

You receive a ‘Certificate of Completion’ signed and addressed personally by me, your guide and mentor – Dhaval Patel

Add and Share this certificate with your Resume/ CV or on your LinkedIn Profile

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Create and manage Power BI assets

Creating shared data assets for your analytics environment provides structure and consistency. Maintaining those assets is as important, and XMLA endpoint provides additional administrative capabilities.

Learning objectives

Upon completion of this module, you should be able to:

• Create specialized datasets.
• Create live and DirectQuery connections.
• Use Power BI service lineage view.
• Use XMLA endpoint to connect datasets.

Prerequisites

Intermediate experience with Power BI Desktop application and service.

• Introduction min
• Create reusable Power BI assets min
• Explore Power BI assets using lineage view min
• Manage a Power BI dataset using XMLA endpoint min
• Exercise: Create reusable Power BI assets min
• Knowledge check min
• Summary min

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Find all ExcelR Data Analyst Assignment Solution Here 1. Advanced Excel 2. MySQL 3. Python 4. Tableau 5. Power BI

shanuhalli/Data-Analyst-Assignment

Folders and files, repository files navigation, excelr data analyst assignments, 1. advanced excel.

For more details on the Advanced Excel assignment, check out the Advanced Excel Assignment section.

For more details on the MySQL assignment, check out the MySQL Assignment section.

For more details on the Python assignment, check out the Advanced Excel Assignment section.

For more details on the Tableau assignment, check out the Tableau Public Profile .

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