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Master Power BI: 30 Hands-On Projects for Data Visualization

Name: Master Power BI: 30 Hands-On Projects for Data Visualization
Rating: 4.0 (237 reviews)

From Data Preprocessing to Advanced Business Intelligence, Analytics—Become an In-Demand Microsoft Power BI Expert!

Created byPianalytix • 75,000+ Students Worldwide

Last updated 10/2025

English

What you'll learn

Understand the business intelligence workflow from end-to-end
Connect Microsoft Power BI to data sources
Real life case studies and projects to understand how things are done in the real world
Design and implement the same B.I. tools used by professional analysts and data scientists
Become proficient in creating stunning visualizations that communicate complex data effortlessly.
Acquire real-world skills through project-based learning, making you job-ready.

Course content

31 sections • 142 lectures • 21h 21m total length

Introduction To The Course0:40
Outline of the course0:25
Outline the Power BI course with 30 hands-on data visualization projects to showcase practical skills.

Introduction4:35
Explore a real-world Power BI workflow from loading an Excel dataset, using Power Query to clean and shape data, to preparing visuals for global data professionals.
Data Cleaning9:29
Clean and prepare survey data in Power BI by removing unused columns, splitting complex fields, and computing an average salary from text ranges for visualization.
Data Visualization part 113:22
Build visuals after cleaning the data, including cards for survey takers and average age, then visualize salary by job title and programming languages, and explore country distribution with a treemap.
Data Visualization part 2 - Global Data Professionals Benchmarking Dashboard12:54
Build a global data professionals benchmarking dashboard in Power BI with a country tree map, gauges for happiness and salary, a gender donut chart, and insights into job-title difficulty.
Download the project files0:28

Introduction8:01
Data Cleaning14:36
Clean and prepare the Beijing air quality data in Power Query by merging date and time, and replacing -200, which marks missing values, with medians or averages for visualization.
Visualization part 115:56
Visualization part 2 - Beijing Air Quality Dashboard15:49
Refresh the Beijing air quality dashboard by adding a tree map for rare gases, a time series of average hourly NO2 and CO, and humidity visuals with conditional formatting.
Download the project files0:22

Introduction11:05
Visualization part 112:51
Explore a Daegu real estate dataset in power BI, visualizing sale prices, sizes in square feet, heating types, and transit proximity with slicers.
Visualization part 2 - Real Estate in Daegu: Apartment Pros and Cons Analysis16:31
Explore Daegu apartments by visualization: analyze time to subway against average sale price, visualize nearby high schools with a donut chart, and track subway station sales with a tree map.
Download the project files0:23

Introduction6:48
Explore supermarket sales data by cleaning and transforming data in Power BI, examining features like city, product line, price, quantity, date, time, and COGS, to prepare accurate visualizations.
Data Cleaning14:11
Learn practical data cleaning for a supermarket sales dataset in Power BI, validating data types, identifying and handling missing values, and fixing date and time formats before building visuals.
Visualization 119:19
Build a Power BI dashboard for supermarket sales by loading data, adding date slicers, matrices, and time-series visuals to compare quantity and gross profit.
Visualization 219:52
Explore building a Power BI dashboard from supermarket sales data, using DAX measures, slicers, and visuals to analyze sales by date, city, branch, and product line.
Download the project files0:24

Introduction_ Data Cleaning13:40
learn how to clean real-world covid vaccination data in power bi by checking data types, handling missing values, and preparing time-series visuals from who data.
Visualization part 114:55
Explore Power BI dashboard creation with KPIs, total sales, year slicers, and delivery time analytics, using Power Query, DAX, and cross-filter relationships to build an ecommerce dashboard.
Visualization part 219:24
Explore a Power BI scatter chart with a play axis to track daily vaccinations and people fully vaccinated, plus a stacked column chart showing vaccine manufacturing by location and company.
Download the project files0:22

Introduction10:53
Explore a credit card data set in Power BI by cleaning data in Power Query. Use bins and features for logistic regression to model default and profile customers.
Data Cleaning16:04
Clean a Power BI data set by standardizing categories, replacing values, and mapping education and marriage status for visualizations, then sum bills and payments to show total bill and payback.
Visualization Part 116:18
Explore a Power BI project that visualizes credit card defaulters using cards for defaulters, customers, and loan totals, plus donut charts by education, sex, and marriage.
Visualization Part 2 - Credit Card Defaulters Analysis22:04
Explore Power BI visualizations by building stacked and clustered charts to analyze credit card defaulters, repayment status, and defaulters by age, with conditional formatting and data labels.
Download the project files0:23

Introduction10:31
Explore customer churn by loading csv data, comparing import and direct query modes, and building a fact-dimension model with time intelligence functions for visualization.
Transformation12:03
Learn to transform data in Power BI by cleaning data in Power Query. Remove unused columns, address missing values, and create a date master table for time series analysis.
Relationships and DAX15:26
Learn data modeling with relationships in Power BI by linking a fact table to dimension tables, using 1-to-1 and 1-to-many relationships, and building DAX measures for customer churn analysis dashboard.
Visualization17:51
Create a DAX column to classify credit scores, then build interactive Power BI visuals with dropdown slicers, drilldown charts, and time comparisons to analyze churn by gender and credit type.
Download the project files0:23

Introduction10:31
Transformation12:13
Transform data in Power BI with Power Query, clean data, and handle missing values. Create a date master for time-series visuals and build robust data relationships.
Relationships and DAX15:37
Visualization17:11
Explore Power BI visualizations, including donut charts of exit customers by gender and clustered bars by credit type, with DAX measures, Q&A, and bookmarks.
Download the project files0:21

Requirements

Basic knowledge of Power B.I

Description

The future of Power BI holds a promise of even greater capabilities, innovation, and impact in the realm of data analytics and business intelligence. As we peer into the horizon, several exciting trends and developments are likely to shape the trajectory of Power BI:

Advanced AI Integration: The convergence of Power BI with artificial intelligence and machine learning will enable automated insights extraction, predictive analytics, and natural language processing. Users will be able to interact with their data using natural language queries, making data analysis more accessible and intuitive
Enhanced Data Connectivity: Power BI will continue to expand its data connectivity options, facilitating seamless integration with an ever-growing variety of data sources, including IoT devices, cloud services, and external databases. This will empower organizations to derive insights from diverse and complex data streams
Real-time Analytics: The future will see Power BI becoming even more real-time and dynamic. Businesses will be able to monitor and visualize live data streams, enabling rapid decision-making based on up-to-the-minute information
Embedded Analytics: Power BI will increasingly be embedded within other applications and platforms, bringing analytics directly to where users work. This will enhance the user experience and enable organizations to infuse data-driven insights into their day-to-day operations
Enhanced Collaboration: Collaborative features will evolve, allowing teams to work more seamlessly on shared reports and dashboards. Enhanced commenting, annotation, and version control will foster better teamwork in data analysis
Custom Visualizations: The future of Power BI will likely include more advanced and customizable visualizations. Users will have the ability to create unique and tailored visuals that precisely represent their data and insights
Data Governance and Security: As data privacy and security concerns continue to rise, Power BI will place a strong emphasis on enhancing data governance features. This includes tighter controls over data access, sharing, and compliance with regulations like GDPR
Cloud-Native Approach: Power BI's integration with the cloud will deepen, enabling users to harness the full potential of cloud computing, such as scalability, flexibility, and collaborative capabilities
Continuous Innovation: Microsoft's commitment to ongoing development means that Power BI will continually evolve with new features, updates, and improvements. User feedback will continue to play a pivotal role in shaping the platform's evolution

The future of Power BI is an exciting one, marked by cutting-edge technology, democratized data access, and transformative insights that will empower businesses and individuals to make smarter decisions and drive innovation in an increasingly data-driven world

In this course you will work on 30 Power BI projects listed below:

Project-1: Global Data Professionals Benchmarking Dashboard

Project-2: Beijing Air Quality Dashboard: DAX and Visualizations

Project-3: Real Estate in Daegu: Apartment Pros and Cons Analysis

Project-4: Super Market Sales Analysis: Power Query and DAX

Project-5: COVID-19 WHO Dataset Insights: Power Query and DAX

Project-6: Credit Card Defaulters Analysis: Power Query and DAX

Project-7: Crime in Chicago: 3-Year Analysis with Visualization

Project-8: Customer Churn Analysis: Real-World Business Problem

Project-9: Customer Churn Analysis (Advanced Features): Data Modeling

Project-10: Attrition Analysis: HR Data Transformation and Visualization

Project-11: Road Accident Analysis: Relations and Time Intelligence

Project-12: Generic Sales Analysis for Practice: Data Transformation

Project-13: Maven Toy Sales Analysis: Transformations and DAX

Project-14: Maven Pizza Sales Analysis: Transformations and DAX

Project-15: IT Spend Analysis: Variance of Global IT Firm

Project-16: Sales Data Analysis: Generic Super Market Sales

Project-17: Foods and Beverages Sales Analysis Dashboard

Project-18: Budget vs. Actual Spending Analysis Dashboard

Project-19: HR Analytics Dashboard: Attrition Analysis

Project-20: E-commerce Super Store Sales Analysis

Project-21: Patient Summary Dashboard: Medical Records

Project-22: Global Super Store Sales Data Analysis

Project-23: Boston Housing Dataset Dashboard: Real Estate

Project-24: Crime in Los Angeles: Yearly City Analysis

Project-25: IMDB Movie Dataset Dashboard: Movie Comparison

Project-26: Hotel Reservation Dashboard: Global Hotel Business

Project-27: Toy Sales Data Analysis: Practice Dataset

Project-28: Netflix Stock Price Dashboard: Business Analysis

Project-29: Personal Finance Management Dashboard: Financial Insights

Project-30: A Deep Dive into Bank Customer Churn with Power BI

Who this course is for:

Beginners in Power B.I

Master Power BI: 30 Hands-On Projects for Data Visualization

What you'll learn

Explore related topics

Course content

Introduction to the course2 lectures • 1min

Project-1: Global Data Professionals Benchmarking Dashboard5 lectures • 41min

Project-2: Beijing Air Quality Dashboard: DAX and Visualizations5 lectures • 55min

Project-3: Real Estate in Daegu: Apartment Pros and Cons Analysis4 lectures • 41min

Project-4: Super Market Sales Analysis: Power Query and DAX5 lectures • 1hr 1min

Project-5: COVID-19 WHO Dataset Insights: Power Query and DAX4 lectures • 48min

Project-6: Credit Card Defaulters Analysis: Power Query and DAX5 lectures • 1hr 6min

Project-7: Crime in Chicago: 3-Year Analysis with Visualization4 lectures • 42min

Project-8: Customer Churn Analysis: Real-World Business Problem5 lectures • 56min

Project-9: Customer Churn Analysis (Advanced Features): Data Modeling5 lectures • 56min

Requirements

Description

Who this course is for: