Master Microsoft Power BI in 21 Days

4.7 ★★★★ ★

Master Microsoft Power BI in 21 Days

Name: Master Microsoft Power BI in 21 Days - Power BI Online Course
Rating: 4.7 (51 reviews)
Author: Atul Kadlag

Go from a beginner to pro in Power BI within 21 days.

updated on icon Updated on Oct, 2025

language icon Language - English

person icon Atul Kadlag

English [CC]

category icon Development ,Data Science,Data Analysis

Lectures -100

Resources -31

Duration -8 hours

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4.7 ★★★★ ★

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Course Description

Following are the topics you are going to learn from in this course:

What is Power BI?
What technology or toolset is needed to learn Power BI?
Why do we need Power BI?
Different components in the Power BI area.
What is Power BI Desktop? How to start using it? How to create the projects in Power BI Desktop?
How to connect to a different database in Power BI Desktop?
Understand Query Editor and how to use it?
How to create Data Model? How to create relationships?
Understand different relationship types, Cardinality and join Kinds with Practical example
How to create your First Visuals?
What are different visuals you can create, what are different formatting capabilities that can be used to make the most of the visuals?
Learn about Microsoft Power BI service?
How to Move your local project created in Power BI Desktop to Cloud?
How to create different dashboards? How to publish it.
How to share and collaborate your applications with other users.
Explore all aspects of the Microsoft Power BI Pro service.
What is DAX? DAX vs M-Language
Which one to use? DAX or M-Language
Implement DAX formula and M-language practically
What is Power BI Mobile?
How to set up Power BI Mobile? How to access different reports/dashboards in Power BI Mobile?
What are Custom Visuals and what's it used?
Tools and technologies needed to create Custom visuals?
How to bind actual data with Custom visuals.
All these with theory and practical examples.

Goals

Learn Microsoft Power BI to build powerful visualizations and become a Power BI Data analyst.
Learn to build custom visuals
All Business analysts or data analyst who knows data and want to learn how to leverage that data to Power Analytics visualizations and dashboards.
Get ready to appear for PL-330: Microsoft Certified Power BI Data Analyst Associate

Prerequisites

No Programming Knowledge is required, Basic understanding of Data is enough.
Understanding Database systems will be an added advantage.
work experience with Excel will be an added advantage.
Windows operating system.

Curriculum

Check out the detailed breakdown of what’s inside the course

Overview of Microsoft Power BI ( Day 1 & 2)

7 Lectures

Welcome to the Course 02:18 02:18
What is Microsoft Power BI? 07:21 07:21
How to Install Power BI & Necessary Project Setup 05:33 05:33
How to Connect Power BI to Source Files 05:33 05:33
What is Query Editor & how to work with Query Editor 06:50 06:50
What is Data Model & How to create your first Visual 08:42 08:42
Useful Resources

Power BI Desktop : Introduction (Day 3 & 4)

6 Lectures

Query Editor Part I : All about Query Editor & interface (Day 5 & 6)

8 Lectures

Query Editor Part II :Query Editor (Day 7 to 10)

12 Lectures

Data Model Part I : Data & Relationship View (Day 11 to 14)

17 Lectures

Visuals in Report View (Day 15 to 17)

18 Lectures

Power BI Pro (Service) : Move the project to Cloud (Day 17 & 18)

12 Lectures

Other Data Sources (Day 19)

5 Lectures

Stay updated with Power BI World (Day 19)

2 Lectures

Custom Visuals : Power BI for developers (Day 20 to 21)

12 Lectures

Final Conclusion

1 Lectures

Instructor Details

Atul Kadlag

With over 16+ years of enriching experience in the IT industry, I have carved a niche for myself at the forefront of technological innovation, working on a multitude of projects for a global clientele within a leading multinational company. My journey began in the realm of Java technologies, where I honed my skills in enterprise development before diving into the dynamic world of Business Intelligence (BI) and ETL technologies. My expertise spans a wide array of tools and platforms, including:
SAP Business Objects Reporting, SAP Design Studio, SAP Lumira Designer, SAP Analytics Cloud, and Microsoft Power BI Desktop/Pro, Data Fabric, Data Modelling. Python for Data Analysis( Jupyter Notebook, Pandas, Numpy, Matplotlib, Seaborn)
SQL - Microsoft SQL Server, Oracle.
ETL - Microsoft SQL Server Integration Service (SSIS), SAP BusinessObjects Data Services (BODS), and Pentaho,Microsoft Fabric.
In an industry characterized by rapid technological evolution, my ability to swiftly adapt and master new technologies has been a cornerstone of my professional growth. This adaptability, coupled with a deep-seated passion for technology, has propelled me to not only excel in my field but also to share my wealth of knowledge with others.