Top 15 Power BI Projects To Develop Your Skills in 2025

Today, the need for Power BI specialists increases day by day. No matter which phase you are in the business intelligence career, it is always advantageous to develop Power BI skills. As with everything else, the best way to get acquainted with it is by use or, instead, by applying it. This blog post gives you a closer look at 15 engaging Power BI projects grouped by skill level so that you can select the ideal project and level up your skills in 2025. 

How to do Visualization in a Power BI Project?

Power BI is a powerful tool from Microsoft that allows users to create interactive data visualizations and business intelligence capabilities with an interface that is simple enough for end-users to create their own Power BI reports and dashboards. Visualization is at the core of any Power BI project. Here’s a detailed Power BI tutorial to effectively visualize data in Power BI:

1. Import Data: Begin by importing your data into Power BI from various sources, such as SQL databases, Excel cloud services, and more.
2. Clean and Transform Data: Use the Power Query Editor to clean and transform your data. This may include removing duplicates, handling missing values, and transforming data types.
3. Create Relationships: If you’re working with multiple tables, create relationships between them. This helps in combining data from different sources.
4. Design Your Report: Drag and drop different visualization types (charts, graphs, and maps) onto your report canvas. Customize these visualizations by changing colors, labels, and formats to suit your needs.
5. Use DAX for Advanced Calculations: Leverage Data Analysis Expressions (DAX) to create measures and calculated columns that provide deeper insights.
6. Interactive Elements: Add slicers, filters, and other interactive elements to allow users to drill down and explore the data in more detail.
7. Publish and Share: Once your report is complete, publish it to the Power BI Service, where you can share it with others in your organization or embed it into your applications.

Now, let’s explore some practical Power BI projects examples to enhance your skills at various levels of expertise.

Beginner-Level Power BI Project Examples

If you’re a beginner, then you can use these beginner-level Power BI project examples to showcase on your resume and show your skills to your employers: 

1. Customer Churn Analysis

Customer churn analysis is vital to determine why customers have stopped using a company’s services. In this project, you can: In this project, you can: 

• Read the customer information and purchasing records. 
• Develop graphs to illustrate patterns in customers’ actions. 
• It is recommended that DAX be used to calculate churn rates. 
• Create a dashboard that displays fundamental indicators such as the rates of customer turnover, the causes, and the customers’ essential characteristics. 

2. Product Sales Data Analysis

It is necessary to analyze product sales data because it enables the demonstration of crucial product markets and the formation of decisions based on fact findings. Steps include: 

• Upload a table or sheet containing imports of products and their corresponding sales, sales in amounts, and the date on which they were made. 
• Depict sales in a graph form such as a bar chart, line graph, sale-pie chart, etc. 
• Use slicers to narrow the data by product category, region, or time. 
• Use DAX to find simple values such as the total sales, average order value, and growth rates. 

3. Marketing Campaign Insights Analysis

This project entails assessing the various marketing campaigns to evaluate their efficiency. Tasks involve: 

• Marketing research data on the import campaign, such as the budget, target audience coverage and potential conversion rates. 
• Develop some graphics to enable one to compare various campaigns’ performance. 
• Employ DAX to determine ROI and CPA. 
• Maintain a list of current campaigns ongoing and how effective they have been. 

4. Financial Performance Analysis

Any business must analyze its financial performance to monitor its financial condition. Key steps include: 

• Import accounting statements like the income statement and balance sheet. 
• Illustrate the revenue, expenses revenue per cent, cost per cent and profit per cent. 
• Perform DAX on the data collected to determine the current ratio, D/E ratio, and net profit margin. 
• Elect a befitting name for a finance dashboard or managerial financial report. 

5. Healthcare Sales Analysis

In healthcare sales analysis, the goal is to understand the sales performance of healthcare products. This involves:

• Importing sales data for healthcare products.
• Creating visualizations to track sales performance by product and region.
• Use DAX to calculate sales growth, market share, and profitability metrics.
• Building a dashboard to provide insights into sales trends and performance.

Intermediate-Level Power BI Sample Project Ideas

The topics and projects in the middle-level Power BI projects differ from those of the first-level projects. Here are some intermediate-level Power BI Sample project ideas: 

1. Anomaly Detection in Credit Card Transactions

Anomaly detection is used to unravel fraudsters and their mode of operation. This project involves: 

• Importing transaction data. 
• It is developing figures for detecting trends that differ from others in the transactional flow. 
• I am designing a DAX to calculate anomaly scores and mark suspicious transactions. 
• A tracker will be created to monitor the transaction activities and identify fraud. 

2. AutoML Cash Flow Optimization for Insurance Company

Using AutoML capabilities in Power BI, you can optimize cash flow for an insurance company in the following manner: 

• History and currency cash opening values. 
• Employ graphics to predict the cash receipts and payments. 
• They should incorporate AutoML to forecast future cash flow trends. 
• Develop a dashboard containing recommendations and strategies for the generation of cash flows. 

3. Global Health Expenditure Analysis

AnalyzeAnalyze health expenditure data from multiple countries with the following steps: 

• Read the health per capita expenditure data by country imported from the GFH. 
• Design concepts that can be used to display data concerning the health care expenditure of the different countries. 
• Employ the DAX to obtain the variables per capita health expenditure and the proportion of the GDP spent on health. 
• A detailed dashboard for monitoring the health expenditure patterns of countries must be updated.

4. Loan Application Analysis

It will be helpful for financial institutions because they can analyze the loan applications received and make the correct decisions. This involves: 

• Import loan application data. 
• Visual displays should be constructed to approve rDAX, default rate, and demographics. 
• DAX should be used for approvals, and DAX should be a sufficient dashboard to examine the tendencies and results of loan applications.

5. Movie Sales Visualization

Understand the performance of movies based on box office sales: 

• Retrieve the dates of imported movies, the genre of the movies, and the amount of ticket sales earned. 
• Generate graphs to depict the issue of sales by genre, region, and time frame. 
• When working with the data, conclusions and calculations should be made in DAX, such as the average movie revenue or the global market’s share of the cinematographic studio. 
• Develop a dashboard to provide insights into the movie industry’s sales performance.

Advanced-Level Power BI Sample Project Ideas

Advanced-Level Power BI projects are significantly more complex and contain numerous sub-thought processes compared to the projects built for the beginner and intermediate levels. So, here are some advanced level Power BI sample project ideas: 

1. Airport Authority Data Analysis

Analyze data from airport authorities to improve operations and passenger experience.

• Fetch information about flights and schedules for passengers and airport operations. 
• Generate charts and maps about traffic flow, pilots’ timetables, and performance indicators. 
• Use DAX to calculate metrics like average delay time, passenger throughput, and resource utilization.
• Design a comprehensive dashboard to provide actionable insights for airport management.

2. Covid-19 Insights Analysis

Gain insights into the Covid-19 pandemic using this Power BI real-time project: 

• Import data related to COVID-19 includes the list of patients, vaccination, and testing. 
• Use diagrams and graphs that help establish trends of the virus and the progression of the vaccines. 
• Express various factors such as the infection rate, the recovery rate, and the vaccination rate in DAX. 
• Create a monitor to give information/updates on the situation of Covid-19 regularly. 

3. Construction Permit Data Analysis

Analyze construction permit data to understand trends in the construction industry: 

• Fetch constructor permit details like the type of permit, date of issuance and where the permit was issued. 
• Design graphs to display trends in construction by region of the state and types of permits. 
• DAX can calculate indexes such as the average time required to approve a permit and the value of construction projects. 
• Create a dashboard to track the construction permits and the industry performance indicators. 

4. Global Energy Trade Analysis

Analyze global energy trade data to understand market dynamics: 

• Retrieve data on energy generation, utilization utilization and import/export between nations. 
• Creating graphics that illustrate flow and market share trends is necessary to explain the state of energy trade better. 
• For energy dependency, trade balance and market growth rates, one can use DAX. 
• Design a panel to give an overview of the trends in Energy exports/imports worldwide.

5. Life Expectancy Data Analysis

Understand factors affecting life expectancy across different regions:

• Import life expectancy data along with socioeconomic factors like income, education, and healthcare access.
• Create visualizations to show correlations between life expectancy and various factors.
• Use DAX to calculate metrics like average life expectancy and disparity ratios.
• Design a dashboard to provide insights into global life expectancy trends and determinants.

Power BI Projects Github

If you are looking for examples of what can be done with Power BI, here are some sample projects on GitHub. 

• Twitter Analysis Dashboard: Twitter accounts are used to analyze different trends and the users’ sentiments in the other accounts. 
• OTT Media Dashboard: Get detailed information on the viewers and how well the content is received on OTT platforms. 
• AdventureWorks Database Analysis: By employing the AdventureWorks dataset, one gets insight into the functioning and performance of the business. 

Power BI Projects for Resume

When presenting your work with the use of Power BI for the resume, there are certain project features that have to be focused on. Here are some examples of how you can present various Power BI projects for resume:

Sales Dashboard 

• Project Title: This document comprises the Sales Performance Dashboard of ABC Company. 
• Objective: To measure the firm’s sales performance effectively, compare it, and even check trends for decision-making decision-making. 
• Data Sources: Customers’ data, information regarding sequences of sales transactions, and information about the products sold. 
• Key Features: Price maps and maps of sales in terms of performance, such as charts of the top products, division by geographic area, and so on, as well as sales plan versus actual. 
• Technologies Used: Desktop applications include Power BI, which is a business intelligence tool; DAX, which is Data Analysis Expression; and Power Query, which is a query tool. 
• Results: Gave information on sales performance, thereby assisting salespeople in enhancing sales and giving them the necessary guidance to enhance the scores shown in the KPI.  

Money Dashboard 

• Project Title: In this present project, a Financial Overview Dashboard is developed and implemented. 
• Objective: To offer a picture of income, expenditure, receipts of money and other related activities of an organization. 
• Data Sources: Bank statements, cheque books, bills of expenses, the balance of accounts. 
• Key Features: BARS and PIE charts, CA analysis, budget and actual figures. 
• Technologies Used: power BI Dax and Power Query. 
• Results: Facilitated improved understanding of financial operations and planning since it provides ample details of the firm’s audited historical financial statements and information derived there from.

Conclusion

Power BI is a very flexible tool that can be used in a wide variety of specific applications to enhance and enlighten data graphics and panels. Doing practice on real-world projects of Power BI will enable you to get more and more professional in data analysis and business intelligence. As a first-time user or an expert, you will always find new ideas, functions, features, and more in Power BI. If you have reached the end of this blog, then look at 90+ Top Power BI Interview Questions 

 Sign up for the Edureka Power BI Course as soon as possible to complete your solution. 

Power BI Projects FAQS

1. What projects can I do with Power BI?

You can work on diverse Power BI projects for practice, such as customer churn analysis, product sales data analysis, marketing campaign insights, financial performance analysis, healthcare sales analysis, anomaly detection, cash flow optimization, global health expenditure analysis, and more.

2. How do you practice Power BI?

Practice Power BI by working on sample datasets for Power BI projects, taking online courses, following tutorials, and participating in Power BI challenges. You can also replicate existing dashboards and explore projects on GitHub.

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

Get practice data from sources like Kaggle, Microsoft Power BI Sample Data, public data repositories (e.g., Data.gov, World Bank), and datasets provided in online courses and tutorials.

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