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MICROSOFT POWER BI
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Course sections

Section 1
Introduction
1
Module introduction
2
Power BI desktop installation
3
The Power BI Desktop Workflow
4
Creating the Project Template & Recommended Settings
Section 2
Data preparation in Power Query Editor
1
Understanding Data Preparation / Cleaning / Cleansing
2
Connecting Power BI Desktop to Source Files
3
Understanding Basic Row Operations
4
Filtering Data
5
Working with Dates and handling date errors
6
Pivoting & Unpivoting
7
Extracting Data, Splitting Columns & Sorting Multiple Columns
8
Group By concept etc.,
Section 3
Data transformation in Power Query Editor
1
Data Warehouse, Data Model & Data Schema
2
Star schema – Introduction
3
Differences between References & Duplicates
4
Understanding the Merge Feature and handling Merge errors
5
Joins – different types
6
Conditional and Index Columns
7
DIM tables and Fact table concepts
8
Basic Mathematical Operations in Query Editor
Section 4
The Data Model - Working with Relationships & DAX
1
Understanding Relationships and Types
2
M-Language vs DAX (Data Analysis Expressions)
3
The DAX Basics
4
The Core DAX Syntax – Types, Operators, Functions
5
Calculated Column vs Measure
6
Combining CALCULATED & FILTER Functions
Section 5
Creating visuals in the Report view
1
The Power BI Workflow & Understanding Basics Visual Elements
2
Creating & Duplicating Pages
3
Organizing Visuals & creating new Visual
4
Different reports – Line, Bar etc.,
5
Understand Interactions, Hierarchies & Drill Down
6
Formatting reports
7
Slicers & Row cards
8
Importing visuals
Section 6
Power BI Pro & Mobile: Collaboration in Workspace
1
Power BI Pro Interface Tour
2
Publishing & My Workspace – Theory
3
Publishing / Importing Power BI Desktop Projects to Pro
4
Exploring Reports In Pro
5
Creating Reports & Dashboards
6
Gateways: Configuring Manual & Scheduled Refreshs
7
Sharing Links
8
Creating Colaboration Workspaces
9
Publishing & Unpublishing Apps
10
Workspaces vs Apps
11
Working with Power BI Mobile

Data preparation in Power Query Editor

Understanding Data Preparation / Cleaning / Cleansing

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Introduction Creating the Project Template & Recommended Settings
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Data preparation in Power Query Editor Connecting Power BI Desktop to Source Files
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