Master Microsoft Power BI in 21 Days

Master Microsoft Power BI in 21 Days, available at $69.99, has an average rating of 4.48, with 101 lectures, based on 437 reviews, and has 32021 subscribers.

You will learn about Students can learn the basics of Microsoft Power BI & can understand to connect to different data sources & Create their own data models Students will get deeper knowledge on Microsoft Power BI and can understand more advanced features In 21 Days student can get started with Power BI, can build own datasets, can create visualizations and can publish & share across different places End to End understanding of Microsoft Power BI As a Power BI analysts, one can learn to create visualization which will be helpful for business. This course is ideal for individuals who are Anyone who is interested to learn Microsoft Power BI and build powerful visualization or Developers who wants to build custom visuals or All Business analyst or data analyst who knows data and wanted to learn how to leverage that data to Power Analytics visualizations and dashboards It is particularly useful for Anyone who is interested to learn Microsoft Power BI and build powerful visualization or Developers who wants to build custom visuals or All Business analyst or data analyst who knows data and wanted to learn how to leverage that data to Power Analytics visualizations and dashboards.

Enroll now: Master Microsoft Power BI in 21 Days

Summary

Title: Master Microsoft Power BI in 21 Days

Price: $69.99

Average Rating: 4.48

Number of Lectures: 101

Number of Published Lectures: 101

Number of Curriculum Items: 101

Number of Published Curriculum Objects: 101

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Students can learn the basics of Microsoft Power BI & can understand to connect to different data sources & Create their own data models

Students will get deeper knowledge on Microsoft Power BI and can understand more advanced features

In 21 Days student can get started with Power BI, can build own datasets, can create visualizations and can publish & share across different places

End to End understanding of Microsoft Power BI

As a Power BI analysts, one can learn to create visualization which will be helpful for business.

Who Should Attend

Anyone who is interested to learn Microsoft Power BI and build powerful visualization

Developers who wants to build custom visuals

All Business analyst or data analyst who knows data and wanted to learn how to leverage that data to Power Analytics visualizations and dashboards

Target Audiences

Anyone who is interested to learn Microsoft Power BI and build powerful visualization

Developers who wants to build custom visuals

All Business analyst or data analyst who knows data and wanted to learn how to leverage that data to Power Analytics visualizations and dashboards

If you want to learn Microsoft Power BI from the basics if you want to improve your analytical skills which have vast demand in the market.

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 Editorand how to use it?

How to create Data Model? How to create relationships?

Understand different relationship types, Cardinalityand join Kinds with Practicalexample

How to create your First Visuals?

What are different visuals you can create, what are different formatting capabilitiesthat 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 publishit.

How to shareand collaborateyour applications with other users.

Exploreall aspects of Microsoft Power BI Pro service.

What is DAX? DAX vs M-Language

Which one to use? DAXor 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 Visualsand what’s it used?

Tools and technologies needed to create Custom visuals?

How to bind real data with Custom visuals.

all these with theory and practical examples.

Course Curriculum

Chapter 1: Day 1-2 : Overview of Microsoft Power BI

Lecture 1: Welcome to the Course

Lecture 2: What is Microsoft Power BI?

Lecture 3: How to Install Power BI & Necessary Project Setup

Lecture 4: How to Connect Power BI to Source Files

Lecture 5: What is Query Editor & how to work with Query Editor

Lecture 6: What is Data Model & How to create your first Visual

Lecture 7: Useful Resources

Chapter 2: Day 3 – 4 : Power BI Desktop : Introduction

Lecture 1: Introduction

Lecture 2: How to use Course resources

Lecture 3: Understand Power BI Desktop workflow

Lecture 4: Understand the interface of Data Model & Query Editor

Lecture 5: How to create Project Files & recommended settings

Lecture 6: Useful Resources

Chapter 3: Day 5 – 6: Query Editor : All about Query Editor & interface

Lecture 1: Connect source files to Power BI Desktop

Lecture 2: Data Transformation – Keeping & Removing rows, Remove Empty Rows

Lecture 3: Append Queries, Working with Columns – Rename Columns, Replacing Values

Lecture 4: How to Format Data & Handling Formatting Errors

Lecture 5: How to Pivot and Unpivot data

Lecture 6: How to Split Data

Lecture 7: Create Groups & Clean up project

Lecture 8: What we learned and Next steps

Chapter 4: Day 7- 10 : Part II : Query Editor

Lecture 1: What is Star Schema?

Lecture 2: How to use Star Schema in our Project

Lecture 3: What is Query Duplicates & References?

Lecture 4: Creating Dimension Table – DIM Region table & Remove duplicates

Lecture 5: Understanding Merging Queries – Theory

Lecture 6: Merging Queries – Practically

Lecture 7: What is Join Kind? Theory

Lecture 8: Merging Queries Applied & Finish Dimension Table – DIM Region table

Lecture 9: Solution to Merge issue in Previous Lecture

Lecture 10: Take a Break – Understand Next steps

Lecture 11: Creating Dimension table – Creating DIM-Age table

Lecture 12: What is FACT table & How to Create FACT table

Lecture 13: Speed up the performance of our Project

Chapter 5: Day 11 – 14 : Data Model Part I : Data & Relationship View

Lecture 1: Module Introduction

Lecture 2: What is relationships?

Lecture 3: What is Cardinality? Understand Types of Cardinality

Lecture 4: Cross Filter Direction & Active Properties & its Use

Lecture 5: What is M Language? What is DAX?

Lecture 6: Difference between M and DAX with Practical Example

Lecture 7: Basics of DAX and its syntax

Lecture 8: Understand DAX Data Types

Lecture 9: Understand Operators & DAX Functions

Lecture 10: Calendar Function Example

Lecture 11: Apply DAX basics practically

Lecture 12: Understanding IF & Related

Lecture 13: What is Calculated Columns and Measures & Its Difference & Create First Measure

Lecture 14: CALCULATE & FILTER Understanding

Lecture 15: Calculate & Filter – Practically

Lecture 16: Conclusion

Lecture 17: Useful Resources

Chapter 6: Day 15 – 17 : Visuals in Report View

Lecture 1: Module Introduction

Lecture 2: Basic Visual Concepts

Lecture 3: Creating our First Visuals

Lecture 4: Understanding Tooltips & Interactions

Lecture 5: Diving into Hierarchies & Drill Mode

Lecture 6: Data Colors & Conditional formatting

Lecture 7: Formatting Reports

Lecture 8: Formatting report pages & Visuals

Lecture 9: Working with Report themes

Lecture 10: What is Slicer and its Use

Lecture 11: Default Summarization & Sorting

Lecture 12: Working with Treempas & Tables & Syncing Slicers

Lecture 13: Filter Types : Visual, Page & Report

Lecture 14: Working with Row cards

Lecture 15: Creating Combined Visuals & Waterfalls

Lecture 16: Using Custom Visuals

Lecture 17: Conclusion

Lecture 18: Useful Resources

Chapter 7: Day 17 – 18 : Power BI Pro (Service) : Move the project to Cloud

Lecture 1: Module Introduction

Lecture 2: Need of Power BI Pro (Service) & Service vs Pro vs Premium

Lecture 3: How to Register for Power BI Pro

Lecture 4: Alternative to non-business emails

Lecture 5: Explore Power BI pro Interface

Lecture 6: Connecting Power BI Pro & power BI Desktop

Lecture 7: Understanding Datasets in Power BI Pro & Work with reports

Lecture 8: Creating Dashboards

Lecture 9: Refreshing Data with Gateways

Lecture 10: Sharing and Collaboration

Lecture 11: Working with Power BI Mobile

Lecture 12: Conclusion

Chapter 8: Day – 19 Other Data Sources

Lecture 1: How to Import JSON Data

Lecture 2: Importing Data from REST APIs

Lecture 3: Setting up mySQL Server

Lecture 4: Importing data from mySQL Server

Lecture 5: Conclusion

Chapter 9: Day -19 Stay updated with Power BI World

Lecture 1: Introduction

Lecture 2: Helpful Resources

Chapter 10: Day 20 – 21 : Custom Visuals : Power BI for developers

Lecture 1: Module Introduction

Lecture 2: The required Technologies & Tools

Instructors

Atul Kadlag
Data & Analytics Architect

Rating Distribution

1 stars: 6 votes

2 stars: 18 votes

3 stars: 41 votes

4 stars: 167 votes

5 stars: 205 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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