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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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Power BI Basics: Data Transformation in Power Query 8 Lectures

Review Finance View Mockups

Transform Data in Power Query Editor

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Power Query Best Practices

Peter Gets His Hands Dirty NEW

Practice Exercise NEW

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All and ALLEXCEPT

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Power Query or DAX for Generating Calculated Columns?

Data Modelling: Star and Snowflake Schema

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Create Calculated Columns Using DAX

Easy Way to Verify Your Numbers in Power BI

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Stakeholder Analysis and its Significance

Peter Recalls the Stakeholder Mapping Meeting

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Practice Exercise: Quick Fixes

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Practice Exercise: Implementing Dynamic Benchmark

Practice Exercise: Adding Dynamic Slicer to Filter Visual

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

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Power BI Service Overview, Report Sharing, and Apps

How to Set Up Automatic Data Refresh: My SQL

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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)

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Solution: Create a Toggle Button to Switch between Two Visuals

Solution: Create a Tool Tip to Show Trend

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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)

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Interview Scenario 2

Interview Scenario 3

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Feature Updates Task -1

Solution: Task - 1

Feature Updates Task- 2

Solution: Task - 2

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Feature Updates Task - 6

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My experience with Codebasics' Power BI Data Analytics course was truly valuable and rewarding. The course content was comprehensive, well-structured, and easy to follow, making it accessible for learners of all levels. What I appreciated the most: Clear explanations: The instructor provided clear and concise explanations for each topic, making it easy to grasp the concepts and apply them in real-world scenarios. Hands-on exercises: The practical exercises and examples throughout the course were extremely helpful in solidifying my understanding of Power BI. I felt confident in using the tool to analyze and visualize data effectively. Real-world applications: The course emphasized real-world applications, which was crucial for me to see how Power BI could be used in various industries and business scenarios. Engaging instructor: Dhaval's teaching style was engaging and kept me interested throughout the course. The pace was just right, allowing me to absorb the information without feeling overwhelmed. Accessible resources: The additional resources provided, such as datasets and sample projects, were valuable in practicing and honing my skills even after completing the course. Overall, I can confidently say that Codebasics' Power BI Data Analytics course has prepared me well for data analysis and visualization tasks. It's an excellent resource for anyone looking to level up their Power BI skills. I will definitely recommend it to others interested in learning Power BI. Once again, thank you for the fantastic learning experience! Keep up the excellent work, and I look forward to exploring more courses from Codebasics in the future. 🌟🌟🌟🌟🌟

Hi, This is Himanshu Singh. I have taken Power BI course and this course is offering the best way to learn Power BI, with real-time business cases. It is really helpful to clear the concept with practical use cases during the course. Thank you for the awesome content.

Sr. Market Research Analyst

Had a great learning experience, this was my 2nd course after SQL. This course covers all the basic to advanced topics. Dhaval sir really makes every topic easily understandable and all those stakeholder meetings and discussions with Hemanand sir are really helpful, it's helpful for a beginner on how should we proceed with problems and what should be our thought process.

Technical Functional Consultant

I appreciated the clarity of the content. Concepts were explained in a straightforward manner, making it easy for me to follow along.The hands-on exercises were particularly helpful. They provided practical experience and helped solidify the theoretical concepts covered in the lectures. I enjoyed the real-world examples and case studies incorporated into the course. It helped me understand how Power BI can be applied in different scenarios. The course was well-structured, with a logical progression of topics. This made it easy to build on my knowledge as I moved through the modules. Your teaching style was engaging, and your enthusiasm for the subject matter was evident. It made the learning experience enjoyable.

• 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.

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

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Frequently Asked Questions

Q.1 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

Q.2 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.

Q.3 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.

Q.4 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.

Q.5 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.

Features and Course Content

Q.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.

Q.2 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.

Q.3 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.

Q.4 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.

Q.5 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.

Q.6 How long is the Power BI course duration?

The Power BI course consists of 20 hours and 33 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.

Job Assistance and Support

Q.1 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.

Q.2 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.

Eligibility

Q.1 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.

Q.2 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.

Q.3 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.

Q.4 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.

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25 Must-Know Power BI Interview Questions and Answers (2024)

Business intelligence has become a skill needed by every employee needs to use and Power BI dominates the market as the most widely used. These Power BI interview questions are a great start to preparing for your job search.

Power BI Interview Questions: Beginner Level

Let's start with the most basic questions. Simple as they may seem to you, it's always a good idea to be prepared with a confident, comprehensive, and concise answer for each of them.

1. What is Power BI?

Power BI is a cloud-based business intelligence and data visualization software developed by Microsoft to fetch raw data from various sources, transform and analyze it, extract meaningful insights from it, build interactive dashboards and reports reflecting those insights, and share the results with a relevant group of data consumers – your colleagues, managers, or shareholders – to make smart, data-driven business decisions.

2. What are the advantages of Power BI?

There are many advantageous features of Power BI that make it an excellent business intelligence software:

• It’s easy to use, even for non-technical people.
• It has a powerful toolkit for conducting ETL (extraction, transformation, and loading the data).
• It helps share the insights from the data with data consumers.
• It accommodates fast updates of the data in use from the data sources.
• It is equipped with template dashboards and SaaS solution reports.
• It allows real-time dashboard and report updates.
• It allows results displays on various devices (computers, tablets, and mobile phones).
• It ensures quick and safe connection to the data sources in the cloud or locally.
• It enables data querying using natural language processing.
• It provides hybrid configuration and smart deployment.

3. What are some disadvantages of Power BI?

The main disadvantages of Power BI to keep in mind include the following:

• The software is not very intuitive for the beginners.
• Dashboard and report sharing is limited: only users with the same email domain can access the results.
• The majority of data sources don't support real-time connections to Power BI interactive dashboards and reports.
• Power BI for free users can't process datasets larger than 1 GB.
• We can't store an adjusted filter in the saved Power BI visual report filter. In addition, the filter is always displayed on the report, which isn’t always convenient

However, Power Bi is in the process of constant development and improvement , so we can expect the software to overcome some or all of its limitations.

4. What is a common workflow in Power BI?

A standard Power BI workflow includes the following four steps:

• Fetch the data to the Power BI Desktop, clean and manipulate the data, and create a report.
• Publish the report to the Power BI Service and build dashboards.
• Share the dashboards with your colleagues, managers, or shareholders.
• Interact with the final dashboards and reports in Power BI Mobile apps to extract business insights.

5. What are the main business applications of Power BI?

Since Power BI is a business intelligence application, we can apply it to a range of business spheres. Its most crucial applications include the following:

• Extracting meaningful business insights from the available raw data
• Creating compelling live reports and insightful interactive dashboards
• Identifying the current state of different departments or projects
• Tracking progress and KPIs of different departments or projects
• Detecting the strong and weak sides of a project from the standpoint of its performance
• Distributing the roles inside the team
• Granting access to the dashboards and reports to the relevant group of team members
• Displaying various statistics of a certain business on many different applications and websites in a favorable light for a potential customer

6. What kind of specialists typically use Power BI?

The following roles comprise the majority of Power BI users:

• Project managers
• Business analysts
• Data analysts
• Data scientists
• IT specialists
• Data administrators
• Report consumers

7. What is a dashboard in Power BI?

A dashboard in Power BI, also called a canvas, is a single-page selection of the most insightful visualizations taken from the report — those that share the most important highlights of the data-driven story. The end users of Power BI dashboards can access them from various devices (including mobile phones), interact with them to extract valuable business insights, grasp the big picture of the business or project (and the relationships between different parts of the whole).

8. What is Power BI Desktop?

Power BI Desktop is a free and open-source Microsoft application that connects to various data sources, fetches data, cleans and transforms that data, builds a data model, and creates reports and dashboards with meaningful visuals. It also allows users to publish the final reports and dashboards to the cloud through the Power BI Service and share them with other people.

9. What is Power Query?

Power Query is a business intelligence ETL (extract-load-transform) tool developed by Microsoft Excel and available in the Power BI Desktop through the Power Query Editor. With this tool, users can load and combine the data from different data sources like SQL, Oracle, Excel or CSV files, social media, etc., then using the Power Query Editor, users can clean, reshape, transform, and analyze the data. Power Query has an intuitive interface, and it uses the M language under the hood. We also can (even though we don't need to) apply this language to write and modify the code ourselves.

10. What is Power Pivot?

Power Pivot is a built-in component of Microsoft Excel 2010 developed to extend the analytical capability of the application. We can use it to import the data from multiple data sources, store compressed data in a single Excel spreadsheet, build models of tabular data using the DAX (Data Analysis Expression) language, define relationships between different tables, write formulas, calculate new columns, create PivotTables and PivotCharts, apply filters of various levels, and analyze the data.

Power BI Interview Questions: Power BI Structure

In this section, we'll consider some typical questions related to Power BI. They’re mostly basic, but they can sometimes be misleading. Indeed, terms get confused often, like "building blocks," "components," "views," or "elements" of Power BI. Some terms even get used interchangeably, or there isn’t a standard term (e.g., "formats" or "versions"). Fortunately, the question itself usually offers some context on what exactly is in question.

11. What are the main elements of the Power BI package?

There are three main elements of the Power BI package:

• Power BI Desktop — a Microsoft Windows desktop application used to create interactive dashboards and reports for further sharing
• Power BI Service — an online SaaS (Software as a Service) used for publishing reports to the cloud
• Power BI Mobile Apps — available on any device, with native mobile BI apps for Windows, iOS, and Android, so that mobile users of Power BI can view the insights

12. What are the building blocks of Power BI?

Everything we do in Power BI breaks down into the following basic building blocks:

• Visualizations. A visualization, or visual, is a visual representation of the underlying data designed to provide business context and insights that would be difficult to discern from a raw table or text data. In Power BI, we have a variety of visualizations, such as bar charts, pie charts, line graphs, gradient-colored maps, bubble maps, etc.
• Datasets. A dataset is a collection of data, possibly fetched from different data sources, used to create visualizations and reports. Datasets can be Excel sheets, CSV files, Oracle or SQL server tables, and more.
• Reports. A report is a set of interrelated visualizations arranged together on one or more pages to showcase various business insights extracted from the same dataset. Some examples are product sales reports, marketing campaign reports, and sales by company branch reports.
• Dashboards. A dashboard, or canvas, is a selection of the most compelling visuals from the report on one page. It provides insights into the data story we're going to tell to our colleagues, managers, or shareholders. The consumers of a dashboard can view it from various devices and interact with it to get the information they need.
• Tiles. A tile is an individual visual contained in a rectangular block surrounded by other tiles in a report or a dashboard — for example, a single bar chart on a dashboard, or any other visualization.

13. What are the main components of the Power BI toolkit?

Here are the main components of the Power BI toolkit — and what we use them for:

• Power Query: to gather data from various sources and transform it
• Power Pivot: to build data models
• Power View: to create data visualizations
• Power Map: to create 3D geospatial data visualizations
• Power Q&A: to get the answers from the final reports by using natural language

14. What are the different connectivity modes in Power BI?

There are three connectivity modes in Power BI:

• Import mode , aka SQL Server import . This is the default connectivity mode in Power BI since it's used more often than the other two, and it also offers the fastest performance. In this mode, we can import the data into the Power BI Desktop for further querying. However, unless we have Power BI premium, we can't import datasets larger than 1 GB.
• Direct query mode. This mode connects to the data from specific data sources and is particularly efficient at importing large data. Power BI doesn’t store the data itself; it stores its metadata and performs direct queries on the data. The drawback of this connectivity mode is that, in this case, there are limitations on which operations we can perform to manipulate the data.
• Live connection mode. With this connectivity mode, the copy of the data isn't stored in the Power BI model either. Instead, the data source is directly queried every time from Power BI. We can use this mode to access only three data sources: SQL Server Analysis Services, Azure Analysis Services, and Power BI Datasets

15. What types of data sources can Power BI connect to?

The various data sources Power BI can connect to divide into the following groups:

• Files. These can be Excel, CSV, text, or Power BI Desktop files.
• Content packs. These can be from service providers or organizations (i.e., shared by other people in our company).
• Connectors. These connect to databases and datasets such as Azure SQL or SQL Server Analysis Services.

16. What are the different views in the Power BI Desktop?

• Report view. A default view showing the interactive visuals of a report. In this view, we can add and manipulate report pages of various templates, add and adjust visualizations, and publish final reports.
• Data view. In this view, we can implement data shaping and transformation through Query Editor tools, create new calculated columns, and view the data in a table format after it has been fed to the model.
• Relationship view , aka model view. We use it to explore, compare, and manage complex relationships between data models or their subsets.

Power BI Interview Questions: Intermediate level

The last set of questions is more advanced; it can be helpful if you're looking for more senior jobs.

17. Where is the data stored in Power BI?

The data in Power BI is stored in the form of either fact tables (quantitative, usually non-normalized data) or dimension tables (the attributes and dimensions related to the data in a fact table) in one of the two cloud repositories:

• Microsoft Azure Blob Storage: contains the data uploaded by the users
• Microsoft Azure SQL Database: contains all the metadata and the artifacts of the system

For both, encryption and passwords protect the data.

18. What is the difference between Power BI and Tableau?

While both Power BI and Tableau are business intelligence (BI) applications used for business data wrangling, data analysis, and data visualization, there are some significant differences between them:

• Power BI uses DAX (Data Analysis Expression) for calculations, while Tableau uses MDX (Multidimensional Expressions).
• Power BI can work with relatively limited volumes of data, while Tableau easily handles huge volumes.
• Power BI has a relatively easy-to-learn interface that both professionals and beginners can use. The Tableau interface is more challenging, therefore less suitable for beginners.
• Power BI has a smaller range of data sources to connect to, compared to Tableau.
• Power BI is much less expensive than Tableau.
• Power BI is a perfect tool for reporting, while Tableau excels at data visualization.

19. What is the M language in Power BI?

The M language, or M-Code, is a functional, case-sensitive programming language used in the Power Query Editor of Power BI to filter and combine the data through queries.

20. What is DAX in Power BI?

DAX is an acronym for Data Analysis Expressions. It's a functional programming language of Power BI providing a set of functions, operators, and constants that we can use in formulas for computing columns, measures, and tables, as well as overall extraction of new information from the available data. DAX supports various data types: whole and decimal numbers, Boolean, text, date, currency, and N/A.

21. What does self-service business intelligence (SSBI) mean?

SSBI is a set of approaches and tools that enable end users — even those without any background in BI (e.g., sales or marketing teams, product developers, etc.) — to access, manipulate, analyze, and visualize the data in an intuitive way to make strategic, data-driven business decisions.

22. What are content packs in Power BI?

A content pack is a package of Power BI interrelated documents, such as dashboards, reports, and datasets, that are stored as a group. In Power BI, there are two types of such packages: service content packs from services providers like Google Analytics, Marketo, MailChimp, or Twilio that we can access by typing our account data, and organizational content packs created by the users of our company and shared with the entire organization or a selected group of people.

23. How can we define the relationships between two tables in a data model in the Power BI Desktop?

There are two approaches:

• Manual: by using primary and foreign keys
• Automatic: the relationships are identified automatically if the autodetect feature is switched on

To define the relationships between two tables, there shouldn't be any null values or duplicate rows in the data. Also, it's possible to have multiple relationships between tables (represented by dotted lines), but only one of them can be active (represented by a continuous line).

24. What are the different refresh options in Power BI?

There are four refresh options in Power BI:

• Package refresh: synchronizes the Power BI Desktop between the Power BI Service and OneDrive or SharePoint Online without fetching the data from the data source.
• Model refresh , aka data refresh : refreshes the dataset available in the Power BI Service with the data in the original data source.
• Tile refresh: updates the cache for tiles in Power BI on the dashboard every time the data changes (approximately every 15 minutes — or we can also force it).
• Visual container refresh: refreshes the visual container and updates the cached report visuals once the data changes.

25. What types of filters can we use in Power BI reports?

The filters in Power BI can be one of the following types, depending on the scope of their applicability, in descending order:

• Report-level filters: applied to the entire report
• Page-level filters: applied to a particular page of a report
• Visualization-level filters: applied to a single visualization

In this article, we've covered the most typical questions you can expect during a Power Bi interview — and how to answer them. Hopefully, this information will help you prepare for an interview and feel more confident.

Feel like you need to brush up on your Power BI skills before starting your job search? Want to prepare for the PL-300 certification? Or maybe you're looking to develop Power BI skills from zero? In all these cases, our innovative skill path, Analyzing Data with Microsoft Power BI , is the right place to start your learning journey! 

In this path, we offer the first interactive Power BI courses, where you can use the full Power BI interface in the browser, learn by practicing and completing exercises, and build projects. By the end of the path, you'll build a project portfolio, and you’ll be ready for the PL-300 certification exam — and to land your first job in Power BI!

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Create a Power BI dashboard from a report

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You've read Introduction to dashboards in Power BI , and now you want to create your own. There are many ways to create a dashboard. For example, you can create a dashboard from a report, from scratch, from a semantic model, or by duplicating an existing dashboard. In this article, you create a quick and easy dashboard that pins visualizations from an existing report.

After you complete this article, you'll understand:

• The relationship between dashboards and reports.
• How to pin tiles.
• How to navigate between a dashboard and a report.

Dashboards are a feature of the Power BI service, not Power BI Desktop. You can't create dashboards in the Power BI mobile apps, but you can view and share them there.

Pin tiles to a dashboard

You can use the following steps and the Procurement Analysis sample to try pinning visualizations to a new dashboard for yourself.

Open a report and select More options (...) > Edit to open the report in Editing view.

You don't have to open the report in Edit mode, but you do have to have edit permissions for the report.

Select whether to pin to an existing dashboard or new dashboard.

• Existing dashboard : Select the name of the dashboard from the dropdown. Dashboards that have been shared with you won't appear in the dropdown.
• New dashboard : Enter the name of the new dashboard.

In this case, we select the option for New dashboard and enter a name.

In some cases, the item you're pinning might have a theme already applied. For example, visuals pinned from an Excel workbook. If so, select the theme to apply to the tile:

• Use destination theme : The theme of the dashboard.
• Keep current theme : The theme of the report.

When you select Pin , Power BI creates the new dashboard in the current workspace. After the Pinned to dashboard message appears, select Go to dashboard . If you're prompted to save the report, select Save .

Power BI opens the new dashboard, which has one tile: the visualization you just pinned.

Select the tile to return to the report. Pin a few more tiles to the new dashboard. When the Pin to dashboard window appears, select Existing dashboard .

Pin an entire report page

Another option is to pin an entire report page to a dashboard, which is an easy way to pin more than one visualization at a time. When you pin an entire page, the tiles are live . That is, you can interact with them there on the dashboard. Changes you make to any of the visualizations in the report editor, like adding a filter or changing the fields used in the chart, are reflected in the dashboard tile as well.

For more information, see Pin an entire report page .

Considerations and limitations

Some report formatting options or themes aren't applied to visuals when you pin them to a dashboard.

• Border, shadow, and background settings are ignored in the pinned tile.
• For card visuals, the text used for the value is shown in dashboards using the 'DIN' font family, with black text. You can change the text color for all the tiles on a dashboard by creating a custom dashboard theme .
• Conditional formatting isn't applied.
• Button visuals that trigger bookmarks or clear or apply filters when you select them have no action in a dashboard tile. These actions only make sense within the context of a report.
• Visuals will adjust their size to fit the size of the tile. This can result in differences in layout as if the visual had been resized on the report.
• Because some visualizations use background images, pinning might not work if the background image is too large. Try reducing the image size or using image compression.

Related content

Congratulations on creating your first dashboard. Now that you have a dashboard, there's much more you can do with it. Start exploring on your own, or see one of the following articles:

• Resize and move tiles
• All about dashboard tiles
• Share your dashboard by creating an app
• Power BI - Basic Concepts
• Tips for designing a great dashboard

More questions? Try the Power BI Community .

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