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Power BI A-Z: Hands-On Power BI Training For Data Science! (Udemy.com)

Learn Microsoft Power BI for Data Science and Data Analytics. Build visualizations and BI reports with Power BI Desktop

4.5
24,299 reviews

Created by: Kirill Eremenko

Last updated January 2025

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What you will learn

  • Connect Microsoft Power BI to data sources
  • Create Barcharts
  • Create Treemaps
  • Create Donut Charts
  • Create Waterfall Diagrams
  • Create Piecharts

How it compares

Against the other 68 rated Udemy courses in Power BI on CourseDuck:

  • Rating4.5 out of 5higher than 29% of them
  • Reviews24,299#5 of 69 by number of reviews
  • Length4.4 hoursshorter than 74% of them
  • Last updatedJanuary 2025earlier than 70% of them

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Course Description

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.

Read More All Levels All Levels product length iconTime: 4.4h

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Instructor Details

Kirill Eremenko

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Read More

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Reviews

4.5

24,299 ratings on Udemy

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By Emily House on 7/12/2026

It's short enough that I actually fully completed it. It feels pretty basic, like going through each chart or table option. What I'm really looking for in a course is industry tips & tricks. For example, based on your experience building dashboards and data solutions, what has been very helpful, what are your best practices. There are a couple of tips in this like chart shadowing and filter options. But I wanted a lot more. I also wanted best tips on building multi-tab reports with overviews and then levels of details. Maybe building different types of dashboards like sometimes I'm not trying to put a ton of information all in one spot, sometimes I'm trying to build a tool like a status board. So I think the explanations were good but it was a brief overview and I didn't get the content I'm still looking for.

By Allie Hodson on 3/9/2026

Material is slightly outdated with newer versions of Power BI which made it difficult to follow along at times. However, it was very useful for beginners, but it would be repetitive for those who are already familiar with the basics of the program.

By Hazel Joy Talan on 10/20/2025

This course was incredibly helpful! It deepened my understanding of Power BI and highlighted the importance of data and visualization in communicating insights to stakeholders. I learned so much throughout the training, and I truly appreciate how well the topics were organized and explained. Thank you for putting together such a valuable and engaging course!

By Raju Darai on 10/15/2024

This is the best course on Power BI I have encountered! He makes it really easy to understand such complex topics and it trains you as you go along so that once you're finished with the course you are confident enough to work on your own. I totally recommend this course to anyone who is interested in Power BI.

By Deepak Holla on 2/13/2021

Hi Kirill and SuperDataScience Team, I really enjoyed this course. I already have some experience in Tableau and I wanted to a quick course to get familiar with Power BI. Although some portions of the course need to be updated I really appreciate the depth to which certain critical concepts were explained such as Level of Granulaity Vs Aggregation, Differences between Calculated Columns and Calculated Measures & Approaches to analyze Time Series. I truly loved the Section on the Custom Visuals where the usage and mechanics of a Chord Chart was explained in detail. I really wish the team can update this course as per the latest features/options in Power BI. If you want a quick way to start using Power BI then this is a very good course!!! Regards, Deepak.

By Olebogeng Mothelesi on 11/7/2020

Good. Could do with an update to the latest versions of PowerBI.

By Bakkesh Shivakumar Aladahalli on 11/7/2020

You did your best, I felt I needed more concepts/ topics of Power BI Desktop

By Milan Klaasman on 11/7/2020

Course was good and informative thanks! However, I can't leave out the fact that using your Promo code for the Data Science course makes the course more expensive instead of cheaper...

By TAN BOON LAY on 10/27/2020

This is the course that I leant so much new things, unexpected and useful.

By Santosh Chaudhary on 10/27/2020

Fruitful Power BI training for data science, it will help to prepare the visualization for data.

By Nisha Siddiqui on 10/19/2020

learn the very new concepts and that too are very interesting. thank you

By Gayathri Ragunathan on 10/16/2020

Yes, Very Useful and clear explanation of each and every steps.

Showing 12 of 371 reviews

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Overall Score : 90 / 100

Power BI A-Z: Hands-On Power BI Training For Data Science!
Visit course on Udemy Write a review
  • Video Duration: icon 4.4h
  • Price: $19.99
  • Provider: icon Udemy
  • Updated: icon January 2025
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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