Microsoft Power BI: Data Analysis & AI Dashboards (2026)

Connect your data with ease using Microsoft Power BI. In this lesson, you’ll learn how Power BI helps you bring data together from multiple sources, including Excel files, CSV files, databases, web services, and cloud platforms.

This beginner-friendly section will help you understand the basics of data integration in Power BI Desktop, so you can prepare your data for analysis, create meaningful reports, and build interactive dashboards with confidence.

Clean and transform your data easily with Power Query in Microsoft Power BI. In this lesson, you’ll learn how to remove errors, filter unnecessary information, fix inconsistencies, and shape raw data into a clean, organized format.

This beginner-friendly section will help you understand the importance of data cleaning and data transformation in Power BI, so you can prepare accurate data for analysis, build reliable reports, and create meaningful dashboards with confidence.

Practice your Power BI skills with a hands-on customer data project. In this lesson, you’ll work with a sample Excel dataset and learn how to clean, transform, and model customer data inside Microsoft Power BI.

This beginner-friendly exercise will help you explore customer demographics, behaviors, and preferences, so you can understand how Power BI turns raw data into useful business insights for smarter decision-making.

Strengthen your Power BI skills with a practical data transformation challenge using the Gapminder dataset. In this lesson, you’ll learn how to clean, merge, and transform raw data in Microsoft Power BI to make it ready for deeper analysis.

This hands-on section will help you practice important Power BI data preparation techniques, so you can turn complex datasets into clear, organized, and analysis-ready data for building meaningful reports and insights.

Apply your Power BI skills in a quick hands-on activity using the Gapminder dataset. In this lecture, you’ll practice transforming and cleaning data in Power BI, helping you understand how to prepare raw datasets for accurate analysis and meaningful reporting.

This beginner-friendly Power BI activity is designed to help you build confidence with data cleaning, data transformation, and preparing datasets for dashboards and business intelligence insights.

Learn how to import CSV files into Microsoft Power BI and start building a strong foundation for data analysis. In this lesson, you’ll understand how to bring CSV data into Power BI Desktop, organize and format it properly, and prepare it for creating powerful data models.

This beginner-friendly section will guide you through the basics of structuring imported data, setting up relationships, and getting ready to work with calculated columns, measures, reports, and interactive dashboards in Power BI.

Learn how to connect and model multiple datasets in Microsoft Power BI. In this lesson, you’ll explore how to merge different tables, create relationships, and define cardinality to build a clear and reliable data model.

This beginner-friendly Power BI section will help you understand how related tables work together, making it easier to analyze data from multiple sources, create accurate reports, and build interactive dashboards with deeper business insights.

This hands-on challenge immerses you in the process of integrating web data with existing datasets in Power BI. By leveraging web scraping and data import functionalities, users enrich their datasets with real-time and relevant information sourced from the web. Through advanced data merging techniques, users combine web data with Excel datasets, unlocking new insights and broadening the scope of analysis.

Practice importing web data into Microsoft Power BI and merging it with an Excel dataset in this quick hands-on activity. In this lecture, you’ll learn how to bring external data from the web into Power BI and combine it with your existing files for richer analysis.

This beginner-friendly Power BI activity will help you understand web data import, data merging, and dataset enrichment, so you can create more complete reports, discover better insights, and build stronger Power BI dashboards.

Learn how to create professional Power BI reports using the Report Editor in Microsoft Power BI Desktop. In this lesson, you’ll understand how Power BI reports are structured, how to design interactive dashboards, and how to present data in a clear and visually engaging way.

This beginner-friendly section will help you get comfortable with report creation, Power BI visualizations, and .pbix files, so you can build reports that are easy to share, collaborate on, and use for better business decision-making.

Explore Scatter Charts in Microsoft Power BI and learn how to visualize relationships between two numerical values. In this lesson, you’ll understand how scatter charts help you spot patterns, trends, clusters, and outliers in your data.

This beginner-friendly Power BI section will also guide you through useful customization features like markers and trend lines, making your reports more interactive, insightful, and easy to understand for better data analysis and business decision-making.

Learn how to create Bar and Column Charts in Microsoft Power BI to compare categories, track trends, and present data clearly. In this lesson, you’ll understand how these essential Power BI visuals help turn raw numbers into easy-to-read insights.

This beginner-friendly Power BI section will guide you through customizing axes, colors, and data labels, so you can build professional reports, create engaging dashboards, and communicate insights effectively to stakeholders.

Practice creating powerful Power BI visuals in this hands-on activity. In this lecture, you’ll learn how to visualize data using Bar Plots, Column Plots, and Scatter Plots inside Microsoft Power BI.

This beginner-friendly Power BI activity will help you compare categories, observe trends, and explore relationships between variables, making it easier to analyze data, build interactive reports, and present insights clearly through professional dashboards.

In this activity, you will learn to create and interpret bar plots, column plots, and scatter plots in Power BI. These visualizations will help you compare categorical data, observe trends over time, and explore relationships between variables, enhancing your ability to analyze and present your data effectively.

Learn how to create Line Charts and Combo Charts in Microsoft Power BI to visualize trends, patterns, and performance over time. In this lesson, you’ll understand how line charts help you track time-series data and how combo charts let you compare multiple data series in one clear visual.

This beginner-friendly Power BI section will help you build more insightful reports and dashboards, making it easier to identify trends, analyze changes, and support smarter business decision-making with data.

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Learn how to create Pie Charts and Doughnut Charts in Microsoft Power BI to show proportions, percentages, and parts of a whole. In this lesson, you’ll understand how these visuals make it easy to highlight key categories and communicate insights quickly.

This beginner-friendly Power BI section will guide you through customizing slices, labels, and chart elements, helping you build clear, attractive, and easy-to-understand reports and dashboards for better data analysis and decision-making.

Explore a creative variation of the Pie Chart in Microsoft Power BI with this hands-on Aster Plot activity. In this lecture, you’ll learn how to display data in a more visually engaging way while still showing proportions and category-based insights clearly.

This beginner-friendly Power BI activity will help you understand how advanced chart variations like Aster Plots can make your reports and dashboards more attractive, interactive, and useful for data analysis and business storytelling.

Explore the Aster Plot in Microsoft Power BI with this interactive activity challenge. In this lecture, you’ll learn how this unique variation of a Pie Chart can help you display category-based data in a more visual and engaging way.

This beginner-friendly Power BI activity will help you understand how Aster Plots can represent multiple values, reveal patterns, and make your reports and dashboards more attractive, insightful, and easier to interpret for data analysis and business storytelling.

Learn how to use Tables and Matrices in Microsoft Power BI to present detailed data in a clear and organized way. In this lesson, you’ll understand how table and matrix visuals help you explore information, compare values, and analyze data more effectively.

This beginner-friendly Power BI section will guide you through useful features like sorting, filtering, and conditional formatting, helping you identify trends, patterns, and anomalies while building professional reports and interactive dashboards.

Learn how to use Filled Maps in Microsoft Power BI to visualize data across different locations and regions. In this lesson, you’ll understand how filled maps use shaded areas to show data distribution, making it easier to spot regional trends, patterns, and comparisons.

This beginner-friendly Power BI section will help you explore location-based data analysis, build more interactive reports, and create visually engaging dashboards that support smarter business decision-making.

Learn how to create Treemaps in Microsoft Power BI to visualize hierarchical data in a clear and engaging way. In this lesson, you’ll understand how treemaps use nested rectangles, size, and color to represent different values and categories.

This beginner-friendly Power BI section will help you explore complex datasets, identify patterns, compare proportions, and present insights more effectively through interactive reports and professional dashboards.

Learn how to create Area Charts in Microsoft Power BI to visualize trends, changes, and values over time. In this lesson, you’ll understand how area charts work like line charts but use filled areas to highlight the size and magnitude of change more clearly.

This beginner-friendly Power BI section will help you analyze time-based data, show cumulative values, compare trends, and build more visually engaging reports and dashboards for better business insights and decision-making.

Learn how to create Funnel Charts in Microsoft Power BI to visualize step-by-step processes like sales pipelines, marketing funnels, lead conversions, and customer journeys. In this lesson, you’ll understand how funnel charts show values across different stages and make it easier to track progress.

This beginner-friendly Power BI section will help you identify bottlenecks, compare process stages, find areas for improvement, and build clear reports and dashboards that support smarter business decisions.

Learn how to use Card and Multi-row Card visuals in Microsoft Power BI to highlight important numbers and key business metrics. In this lesson, you’ll understand how Card visuals display single values, such as total sales, profit, or customer count, in a clear and simple way.

This beginner-friendly Power BI section will also show how Multi-row Cards help present multiple summary values together, making your reports and dashboards easier to read, more professional, and useful for quick data-driven decision-making.

Enhance your Power BI reports with visual elements like Text Boxes, Images, and Shapes. In this lesson, you’ll learn how to add extra context, improve report design, and make your dashboards more visually appealing and easy to understand.

This beginner-friendly Power BI section will help you customize reports beyond charts, making them more engaging, professional, and informative for better data storytelling and business presentations.

Apply your Power BI learning in this hands-on activity challenge designed to strengthen your data analysis and visualization skills. In this lecture, you’ll work through practical tasks and real-world scenarios to review key Power BI concepts covered in the course.

This beginner-friendly Power BI challenge will help you build confidence, practice report creation, improve dashboard design, and develop practical business intelligence skills for analyzing and presenting data effectively.

Build your first complete Power BI dashboard with this hands-on Superstore Data Analysis mini project. In this project, you’ll work with a real-world superstore dataset to analyze sales, profit, regions, product categories, customer segments, and monthly performance.

You’ll create powerful Power BI visuals such as Bubble Maps, Treemaps, Donut Charts, Column Charts, and Waterfall Charts to turn raw data into clear business insights. This beginner-friendly Power BI project will help you practice data analysis, dashboard creation, report design, and business intelligence storytelling.

By the end of this mini project, you’ll gain practical experience in building an interactive Power BI dashboard that supports data-driven decision-making and presents key business metrics in a professional, easy-to-understand way.

Learn how to create new Measures in Microsoft Power BI using DAX expressions. In this lesson, you’ll understand how measures work as dynamic calculations that update based on your data model, filters, and report interactions.

This beginner-friendly Power BI section will help you create custom calculations such as totals, averages, counts, and other key metrics, so you can analyze data more effectively, build smarter reports, and uncover valuable business insights through interactive dashboards.

Practice creating custom Measures in Microsoft Power BI with this hands-on Measure Creation Challenge. In this activity, you’ll learn how to use DAX formulas to build useful calculations that help you analyze your data more effectively.

This beginner-friendly Power BI challenge will help you strengthen your understanding of measures, create key business metrics, and develop practical skills for building smarter reports, interactive dashboards, and meaningful data insights.

Discover how to use AI in Microsoft Power BI to make data analysis faster, smarter, and more insightful. In this lesson, you’ll explore how Power BI’s AI features can help you find patterns, generate insights, and turn complex data into clear, actionable information.

This beginner-friendly Power BI section is perfect for students, professionals, data analysts, and business users who want to understand how AI can enhance reporting, improve decision-making, and create more powerful business intelligence dashboards.

Learn how to use AI-powered Anomaly Detection in Microsoft Power BI to identify unusual patterns, unexpected changes, and important outliers in your data. In this lesson, you’ll create a line chart, enable anomaly detection, adjust sensitivity settings, and explore explanations behind detected anomalies.

This beginner-friendly Power BI tutorial will help you understand how AI features can improve data analysis, support faster decision-making, and make your reports and dashboards more intelligent, accurate, and insightful.

Understand the key components of Microsoft Power BI and how they work together to create a complete business intelligence solution. In this lesson, you’ll explore Power BI Desktop, Power BI Service, and Power BI Mobile, and learn the role each one plays in data analysis, reporting, and visualization.

This beginner-friendly Power BI section will help you see how data is created, published, shared, and accessed across devices, making it easier to build reports, collaborate with teams, and make smarter data-driven decisions.

Learn how to use Power Query in Microsoft Power BI to connect, clean, combine, and transform data from multiple sources. In this lesson, you’ll understand how Power Query helps prepare raw data before analysis, making it easier to work with accurate and organized datasets.

This beginner-friendly Power BI section will help you build a strong foundation in data preparation, data cleaning, and data transformation, so you can load reliable data into Power BI and create more meaningful reports and dashboards with confidence.

Explore Power Pivot and Power BI Service to understand how Microsoft Power BI supports both advanced data modeling and easy report sharing. In this lesson, you’ll learn how Power Pivot helps organize, model, and analyze data, while Power BI Service allows you to publish reports and collaborate online.

This beginner-friendly Power BI section will help you understand how data models, reports, dashboards, and cloud-based sharing work together, making it easier to manage insights, collaborate with teams, and support smarter business decision-making.

Learn how to create and use maps in Microsoft Power BI to visualize geographical data clearly and effectively. In this lesson, you’ll explore Filled Maps, Bubble Maps, and ArcGIS Maps, and understand how each map type helps present location-based insights.

This beginner-friendly Power BI section will help you show regional data distributions, compare values across locations, represent magnitudes with bubbles, and build more insightful reports and dashboards using geographic data visualization.

Build a professional Customer Complaints Dashboard in Microsoft Power BI to analyze complaint trends, resolution times, customer satisfaction, and service performance. In this lesson, you’ll learn how interactive visuals and filters can help users explore customer complaints data in a clear and meaningful way.

This beginner-friendly Power BI dashboard example will help you understand how to identify common complaint categories, track customer service issues, find areas for improvement, and present actionable insights for better business decision-making.

Build an interactive COVID-19 Dashboard in Microsoft Power BI to track and analyze pandemic-related data. In this lesson, you’ll learn how dashboards can visualize key metrics such as infection trends, mortality rates, vaccination progress, and regional impact using maps, charts, and timelines.

This beginner-friendly Power BI dashboard example will help you understand how to present healthcare and public data clearly, monitor important trends, and create insightful reports that support faster, data-driven decision-making.

Dive into an exciting project designed to elevate your Power BI skills by analyzing hotel booking data and creating a dynamic, interactive dashboard. This hands-on project is perfect for students eager to transform raw data into meaningful insights.

We begin by uploading and cleaning a dataset rich with information about hotel bookings, including hotel types, booking details, guest demographics, market segments, and revenue metrics. You'll learn how to prepare and structure this data for effective analysis.

Next, we'll create essential measures using DAX, such as total bookings, total revenue, and average lead time, which will form the foundation for our analysis.

Finally, we'll bring our data to life by designing a comprehensive dashboard that includes:

• Line Chart for booking trends over time

• Scatter Plot to visualize total bookings by month

• Matrix Visual for an overview of reservation statuses

• Column and Bar Charts to compare revenue across market segments

• Pie and Donut Charts for distribution analysis

• Bubble Map for geographical insights

• Slicers for interactive data filtering

Throughout this project, you'll gain hands-on experience in creating visually appealing and insightful reports that support data-driven decision-making. Join us to master Power BI and uncover valuable insights within the hotel industry!

Create a complete Project Management Dashboard in Microsoft Power BI using real-world project data. In this hands-on course, you’ll learn how to import project records, understand key fields like project type, manager, region, department, cost, benefit, status, completion percentage, phases, and timelines, and prepare the dataset for analysis.

You’ll clean and transform raw data, remove unnecessary columns, handle missing values, format data types, and create useful Power BI measures such as average completion, average benefit, and average cost. These calculations will help you analyze project performance and uncover meaningful business insights.

By the end of this Power BI project, you’ll be able to build an interactive and visually appealing Project Management Dashboard with charts, graphs, tables, and visual elements. This beginner-friendly project will help you strengthen your skills in data import, data transformation, measure creation, dashboard design, and real-world business intelligence reporting.

Welcome to the "HR Analytics" project, where we dive deep into the realm of human resources data to uncover insights that drive strategic decision-making. This comprehensive Power BI dashboard focuses on understanding and analyzing employee attrition, providing actionable insights to help improve retention strategies and overall workforce management.

Project Overview:

In this project, we have transformed a raw HR dataset into a dynamic and visually engaging dashboard. Our primary aim is to analyze employee attrition—understanding who is leaving the company, why they are leaving, and identifying patterns that can inform effective retention strategies. By leveraging the capabilities of Power BI, we've created a tool that not only visualizes data but also facilitates in-depth analysis and strategic planning.

Key Features:

1. Data Import and Preparation:

   • The project begins by importing the HR dataset into Power BI, ensuring data integrity and preparing it for insightful analysis.

2. Interactive Slicers:

   • We have included slicers for the department and job role, allowing users to filter and explore data dynamically. This enhances the dashboard's interactivity and helps users drill down into specific areas of interest.

3. Comprehensive Visualizations:

   • Various charts and graphs are utilized to visualize attrition trends. These include:

     • A bar chart to visualize attrition by job role, focusing on roles with higher attrition rates.

     • A donut chart showcasing the distribution of total attrition by education field.

     • Additional visualizations to analyze attrition trends by age, department, and other relevant metrics.

4. Card Visuals for Key Metrics:

   • Card visuals display essential metrics at a glance, such as total employees, attrition rate, average age, average salary, and average years at the company. These metrics provide quick insights into the overall workforce composition.

5. Customization and Aesthetic Enhancements:

   • The dashboard's layout is optimized for clarity and usability, with carefully chosen color schemes and fonts to ensure a cohesive and visually appealing presentation.

Project Benefits:

• Actionable Insights: The dashboard provides a clear view of attrition trends, enabling HR managers to develop targeted retention strategies.

• Enhanced Decision-Making: By visualizing key metrics and trends, stakeholders can make informed decisions based on real data.

• Interactive Exploration: The inclusion of interactive slicers allows for dynamic data exploration, helping users uncover specific insights.

• User-Friendly Design: The dashboard's intuitive design ensures that even users with minimal technical expertise can navigate and extract valuable information.