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Microsoft Power BI for Data Science and Data Analytics
Rating: 4.1 out of 5(23 ratings)
83 students

Microsoft Power BI for Data Science and Data Analytics

Updated 2025| Mastering Microsoft Power BI on designing and developing reports for data science and data analytics
Created byAgus Kurniawan
Last updated 11/2025
English

What you'll learn

  • Administering Microsoft Power BI Services
  • Creating data visualizations with various Power BI charts
  • Publishing Power BI reports to Power BI Service (powerbi-com)
  • Working with various data sources: local files, Power BI datasets, database server, Azure databases
  • Customizing Power BI report format
  • Power BI Report Interactivity
  • Data Analysis Expression (DAX) and data transformation
  • Building geographic reports with Bing Map, Filled Map, ArcGIS, and Shape Map
  • Power BI reports based on Python and R scripts
  • Power BI Artificial Intelligence reports (KPI, Key Influencer, Decomposition Tree)
  • Power BI reports with Azure Analysis Services
  • Power BI on-premises Data Gateway
  • Building Power BI reports with local database via Power BI Data Gateway
  • Create Power BI reports for mobile devices with Power BI Mobile

Course content

17 sections97 lectures5h 45m total length
  • Bootcamp Overview2:51
  • Preparation1:27

Requirements

  • Computer with Windows OS
  • Internet Access
  • No prior knowledge for designing reports

Description

Microsoft Power BI is a one of business analytics service to visualize data and make interactive visualizations. This Bootcamp has a goal to help you how to build Power BI reports with various charts and various data sources.

You will learn how to explorer all basic visualizations with various Power BI charts. Then, you can access databases sources such as file dan database included SQL Server, Azure Database and PostgreSQL Server. Furthermore, we can customize Power BI report format and making report interactivity with Data Analysis Expression (DAX).

You can visualize your data in geographic reports and also make Power BI report based on Python and R scripts. Visualizing your Azure Analysis Services in Power BI reports. You can extend your data sources with local database by applying Power BI Data Gateway.

We also explore Power BI Artificial Intelligence Reports such as:

  • Key Performance Indicator (KPI)

  • Key Influencer

  • Decomposition Tree

  • Power Bi Insight : Analyze Increase / Decrease

  • Power Bi Insight : Analyze Different Distribution

  • Power Bi Insight : Smart Narrative / Report Summarization

  • Q&A Visual: Ask a question about your data

  • Time Series Forecasting

  • Quick Insight on Power Bi Service (powerbi com)

Last, we build Power BI reports for mobile devices with Power BI Mobile.

You don't have any prior experience in Power BI to follow this Bootcamp.

I will maintain this course including upgrade the latest Power BI version.


**Update 28 November 2025**

I added some topics about charts and DAX.


**Update 24 September 2021**

I added new materials about AI Reports


**Update 25 June 2020**

I added new materials about Power BI Mobile

Who this course is for:

  • Report Designers
  • Business and System Analyst
  • Developers
  • IT Administrator
  • Data Scientist
  • Data Engineers