We may earn an affiliate commission when you visit our partners.
Kirill Eremenko, SuperDataScience Team, and Ligency Team

Learn data visualization through Microsoft Power BI and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You'll learn all of the features in Power BI that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Use Power BI to Analyze and Visualize Data So You Can Respond Accordingly

Read more

Learn data visualization through Microsoft Power BI and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You'll learn all of the features in Power BI that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Use Power BI to Analyze and Visualize Data So You Can Respond Accordingly

  • Connect Power BI to a Variety of Datasets
  • Drill Down and Up in Your Visualization and Calculate Data
  • Visualize Data in the Form of Various Charts, Plots, and Maps

Convert Raw Data Into Compelling Data Visualizations Using Power BI

Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.

Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.

Content is updated as new versions of Power BI are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.

Contents and Overview

This course begins with Power BI basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.

To be able to find trends in your data and make accurate forecasts, you'll learn how to work with hierarchies and timeseries.

Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.

In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.

You'll even learn how to join multiple data sources into one in order to combine diverse sources of information in one analytical solution.

Finally, you'll cover some of the latest and most advanced custom visualizations in Microsoft Power BI, where you will create histograms, brickcharts and more.

By the time you complete this course, you'll be a highly proficient Power BI user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.

You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.

Enroll now

What's inside

Learning objectives

  • Connect microsoft power bi to data sources
  • Create barcharts
  • Create treemaps
  • Create donut charts
  • Create waterfall diagrams
  • Create piecharts

Syllabus

Welcome to the Course
Welcome Challenge!
Installation
Get the Datasets here
Read more
Extra Resources
Your First Bar Chart
The business Challenge - Who Gets The Annual Reward?
Connecting Power BI to a Data File - CSV File
Navigating Power BI
Drilling down and up in hierarchies
Advanced drilling in hierarchies
Adding Colours
Adding A Calculated Column
Adding Labels and Formatting
Your first bar chart
Timeseries, Aggregation, and Filters
Downloading and connecting to the dataset
Working with timeseries
Understanding aggregation and granularity
Creating an area chart & learning about highlighting
Filters and Slicers in Power BI
Maps, Scatterplots and Interactive BI Reports
Joining data in Power BI
Understanding how LEFT, RIGHT, INNER, and OUTER joins work
Joins with duplicate values
Joining on multiple fields
Creating a map, working with hierarchies, latitude and longitudes

In this lecture, Kirill explains the differences between calculated columns vs. calculated measures in PowerBI on the example of the European map

Calculated columns vs. calculated measures - Part 2
Creating a scatter plot
Combining charts, filters and slicers
Adding a Donut Chart
Creating an Interactive Business Intelligence Report
Downloading the dataset and connecting Power BI
Mapping: How To Set Geographical Roles
Creating Pie Chart for Gender
Creating Bins and Distributions for Age
Creating Bins and Distributions for Balance
How to create a Treemap chart
Creating a Customer Segmentation Dashboard
Controlling Report Interactivity
Analyzing the Customer Segmentation Dashboard
Leveraging Custom Visuals
The Challenge: Visualizing the European Debt Crisis
Downloading Power BI Custom Visual Sample
Mechanics of a Chord Chart
Setting up the second Chord Chart
Adding Treemaps
Exploring the visualization
THANK YOU Video
Congratulations!! Don't forget your Prize :)
Huge Congrats for completing the challenge!
Bonus: How To UNLOCK Top Salaries (Live Training)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches data visualization techniques using Power BI, which is a valuable skill for professionals who need to present data insights effectively to stakeholders
Begins with Power BI basics, such as navigating the software and connecting to data files, which helps beginners feel comfortable with the tool
Covers advanced custom visualizations in Power BI, such as histograms and brick charts, which allows learners to create more sophisticated and insightful reports
Explores how to join multiple data sources into one, which is essential for creating comprehensive analytical solutions from diverse information
Content is updated as new versions of Power BI are released, which means learners can stay ahead of the competition and continue to hone their skills
Requires downloading Power BI Custom Visual Samples, which may require additional steps and familiarity with external resources

Save this course

Save Power BI A-Z: Hands-On Power BI Training For Data Science! to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Power BI A-Z: Hands-On Power BI Training For Data Science! with these activities:
Review Basic Statistics Concepts
Reinforce your understanding of fundamental statistical concepts like mean, median, mode, standard deviation, and distributions. A solid grasp of these concepts is crucial for interpreting data visualizations effectively in Power BI.
Browse courses on Statistics
Show steps
  • Review introductory statistics materials.
  • Work through practice problems.
  • Focus on descriptive statistics.
Review 'Storytelling with Data'
Learn how to craft compelling narratives around your data visualizations. This book provides a strong foundation for effective data storytelling, which is essential for presenting insights derived from Power BI.
Show steps
  • Read the book 'Storytelling with Data'.
  • Identify key principles of data visualization.
  • Apply these principles to Power BI reports.
Practice Creating Basic Charts in Power BI
Reinforce your understanding of creating fundamental chart types in Power BI. Repeated practice will improve your speed and accuracy in building visualizations.
Browse courses on Bar Charts
Show steps
  • Create bar charts using different datasets.
  • Experiment with pie charts and donut charts.
  • Build treemaps to visualize hierarchical data.
  • Construct waterfall diagrams to show cumulative effects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'The Definitive Guide to DAX'
Master DAX to create advanced calculations and measures in Power BI. This book provides a deep dive into DAX syntax, functions, and best practices.
Show steps
  • Read 'The Definitive Guide to DAX'.
  • Practice writing DAX formulas.
  • Apply DAX to solve complex data analysis problems.
Analyze and Visualize Sales Data
Apply your Power BI skills to a real-world scenario by analyzing and visualizing sales data. This project will solidify your understanding of data connection, transformation, visualization, and report creation.
Show steps
  • Obtain a sample sales dataset.
  • Connect Power BI to the dataset.
  • Create visualizations to analyze sales trends.
  • Build an interactive sales dashboard.
Create a Power BI Tutorial Video
Deepen your understanding of Power BI by creating a tutorial video explaining a specific feature or technique. Teaching others is a great way to reinforce your own learning.
Browse courses on Power BI
Show steps
  • Choose a Power BI topic for the tutorial.
  • Plan the content and structure of the video.
  • Record and edit the tutorial video.
  • Share the video with others.
Build a Financial Performance Dashboard
Create a comprehensive financial performance dashboard using Power BI. This project will challenge you to apply advanced visualization techniques and DAX calculations to analyze financial data.
Show steps
  • Gather financial data from various sources.
  • Design the layout and structure of the dashboard.
  • Create visualizations to track key financial metrics.
  • Implement DAX calculations for advanced analysis.

Career center

Learners who complete Power BI A-Z: Hands-On Power BI Training For Data Science! will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
A data visualization specialist creates visual representations of data to make it understandable and accessible. This role requires using tools such as Power BI to create charts, maps, and dashboards. This Power BI course goes directly to the core of the skills needed in this role, since it teaches how to present data using various types of visualizations, including maps and charts. This course provides the skills needed for a data visualization specialist to present information clearly, especially through interactive dashboards. The course teaches methods of working with different types of datasets so that a data visualization specialist can create a wide range of data products.
Business Intelligence Analyst
A business intelligence analyst uses data analysis and visualization tools to produce reports and dashboards that support business decisions. A business intelligence analyst also identifies areas for improvement. This course teaches you how to use Power BI to connect to various data sources, create visualizations, and build interactive dashboards. The course will give you a strong familiarity with how to join multiple data sources, use hierarchies, and work with timeseries data, all of which are typical tasks for a business intelligence analyst. You will learn how to present data in compelling ways that support business decision making. This course provides the specific skills and knowledge you need to succeed in this role.
Reporting Analyst
A reporting analyst is responsible for gathering and analyzing data to create reports that support decision making. This role requires the ability to use data visualization software in order to present data clearly. This course is particularly helpful to a reporting analyst because the course teaches you how to use Power BI to connect to data sources, create various kinds of charts and plots, as well as build interactive dashboards. The course also teaches you how to work with hierarchies and timeseries data. This skill will help a reporting analyst extract and present actionable insights.
Marketing Analyst
A marketing analyst assesses the effectiveness of marketing programs and campaigns. A marketing analyst also uses data to help improve marketing strategy. This course will be of great assistance to a marketing analyst because the course teaches how to connect to data, visualize it, and create dashboards and reports, all using Power BI. The course teaches you how to combine different data sources into one analysis. This is a key skill for a marketing analyst who must combine data from a variety of marketing channels. You will learn how to present data in ways that drive marketing success.
Sales Analyst
A sales analyst examines sales data and provides insights to sales teams and leadership. Sales analysts must be able to identify trends and patterns in sales data and present these clearly. This Power BI course is particularly relevant as it focuses on data visualization, creating reports, and building interactive dashboards. The course provides instruction in connecting to datasets, drilling down into data, and working with timeseries, which are all common tasks for a sales analyst. By learning to create various charts, plots, and maps this course gives a sales analyst the ability to present data in ways that support strategies and improve performance.
Data Analyst
A data analyst interprets data and transforms it into actionable insights. This role involves creating reports and dashboards to help stakeholders understand trends and patterns. This Power BI course is particularly relevant as it focuses on connecting to various datasets, visualizing data using charts and maps, and creating interactive dashboards. A data analyst must be able to present information clearly, which this course directly addresses by teaching how to use Power BI to make data easy to understand. You will learn how to drill down and up in visualizations to analyze data at different levels. This course helps build a foundation you need to create informative visualizations and reports.
Financial Analyst
A financial analyst examines financial data, creates reports, and makes recommendations to clients or management. This role requires the ability to use data visualization software to present financial data clearly. This course will provide you with a strong foundation in how to use Power BI to connect to data, create charts, and build interactive dashboards. Financial analysis often involves identifying trends and patterns over time, and this course specifically teaches how to work with timeseries data, making it highly beneficial for a financial analyst. You will learn how to present data in a way that can inform financial decisions.
Operations Analyst
An operations analyst works to improve efficiency, reduce costs, and optimize business processes. This role involves analyzing data related to operations and using tools to present findings. The course teaches the core skills required of an operations analyst, such as connecting to different datasets, visualizing the data, and creating interactive reports. You will learn how to apply data visualization techniques to different projects as well as how to join multiple data sources, which is critical in operations. This course helps build a foundation for an operations analyst who needs to present actionable information clearly.
Market Research Analyst
A market research analyst studies consumer behavior and market trends in order to provide insight to a company's marketing strategies. Market research analysts often use data visualization to show their findings. This Power BI course provides a foundation for this role because it covers how to connect to datasets, visualize data, and create dashboards and reports. Using multiple data sources is common in market research, so learning how to do this in Power BI directly transfers to this career. The course teaches the skills needed for presenting marketing data in comprehensive and actionable ways, and this is exactly what a market research analyst does.
Project Analyst
A project analyst supports project managers by gathering and analyzing project data, creating reports, and tracking progress. This role requires data analysis to track performance and identify potential issues. This course is particularly helpful for a project analyst since it focuses on using Power BI to connect to various datasets, and then it teaches the creation of visualizations and interactive dashboards. You will learn to present data through multiple methods, including maps, allowing you to communicate project performance metrics to stakeholders. Through this course, a project analyst can learn to present information in ways that support project success.
Database Analyst
A database analyst designs, develops, and maintains database systems. A database analyst also extracts information from databases and presents that information to stakeholders. This course is a valuable resource for a database analyst because the course shows how to connect to different kinds of data and create visualizations. Through this course, you will learn how to use Power BI to create the visualizations you will need. You will also learn how to join multiple datasets, giving you the skills you need to present a clear view of information in large databases.
Data Scientist
A data scientist uses data, statistics, and programming to extract knowledge and insights from data. Data scientists also create models to support decision making. This course may be helpful for data scientists who need to use Power BI to connect to data sources, create visualizations, and present findings. Although data scientists rely on programming for much of their work, they often use data visualization tools such as Power BI to present data. This course focuses on how to combine datasets, work with timeseries, and present information, skills that can serve a data scientist's needs to communicate and explore data.
Business Consultant
A business consultant advises clients on how to improve their business operations and performance. Business consultants must be able to analyze business data and present their findings clearly. This course may be useful for a business consultant as the course teaches how to use Power BI to connect to data sources, create a variety of different visualizations, and build interactive dashboards. The course focuses on how to work with different datasets and present information in a way that is useful to stakeholders. This course can give you skills that are valuable to a consultant who must present data, but it is not the core skillset of a business consultant.
Quantitative Analyst
A quantitative analyst develops and implements mathematical models for financial analysis. This role typically requires advanced mathematical and programming knowledge. This course may be useful for a quantitative analyst who needs to present information in clear and compelling ways. This course can help a practitioner learn how to combine different data sources, visualize data, and create dashboards using Power BI. A quantitative analyst primarily uses programming to develop models, so this course provides skills that may be relevant, but not core to the role. A quantitative analyst typically requires an advanced degree.
Management Consultant
A management consultant advises organizations on strategy, operations, management, and organizational structure. This role typically requires deep analytical and interpersonal skills. This course may be helpful for a management consultant who needs to visualize and present data. This course teaches how to connect to data, visualize it, and build dashboards using Power BI. Management consultants typically do not spend the bulk of their time with data analysis and presentation, but the ability to do so is beneficial. This course provides skills that might be useful, but not central to most management consulting work.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Power BI A-Z: Hands-On Power BI Training For Data Science!.
Focuses on how to communicate data effectively through visualizations. It provides practical guidance on choosing the right chart types, designing clear and compelling visuals, and crafting a narrative around your data. Reading this book will help you create more impactful and persuasive Power BI reports. It is commonly used by business professionals to improve their data communication skills.
Comprehensive guide to DAX (Data Analysis Expressions), the formula language used in Power BI. It covers DAX syntax, functions, and best practices for creating complex calculations and measures. This book is more valuable as additional reading than it is as a current reference. It is commonly used as a textbook at academic institutions and by industry professionals.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser