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Microsoft Power BI Training: Learn Data Visualization and Business Intelligence

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Curriculum
1
Introduction to Microsoft Power BI 8
2
Power BI Installation and Environment Setup 8
3
Data Sources and Data Connectivity 8
4
Data Importing, Cleaning, and Transformation 8
5
Advanced Power Query and M Language 8
6
Data Modeling and Relationships 8
7
DAX Fundamentals and Calculated Expressions 8
8
Advanced DAX Functions and Calculations 8
9
Time Intelligence and Date-Based Analysis 8
10
Data Visualization and Chart Design 8
11
Filters, Slicers, and Interactive Reports 0

Introduction to Microsoft Power BI

8 topics in this module

1
What Is Microsoft Power BI?
2
History and Evolution of Power BI
3
Understanding Business Intelligence (BI) and Data Analytics
4
Features, Benefits, and Limitations of Power BI
5
Power BI vs. Microsoft Excel vs. Tableau
6
Overview of Power BI Desktop, Power BI Service, and Power BI Mobile
7
Real-World Business Applications of Power BI
8
Power BI Career Roles and Industry Use Cases

Power BI Installation and Environment Setup

8 topics in this module

1
Power BI Development Environment Fundamentals
2
Installing and Configuring Power BI Desktop
3
Exploring the Power BI Desktop Interface
4
Understanding Report View, Table View, and Model View
5
Working with Data, Visualizations, and Filters Panes
6
Configuring Regional, Language, and Data Settings
7
Connecting Power BI Desktop to Power BI Service
8
Creating and Saving Your First Power BI Report

Data Sources and Data Connectivity

8 topics in this module

1
Introduction to Power BI Data Sources
2
Connecting to Excel and CSV Files
3
Importing Text Files and Data from Folders
4
Connecting to SQL Server and Relational Databases
5
Connecting to Web Sources and APIs
6
Connecting to SharePoint and Microsoft Online Services
7
Understanding Import, DirectQuery, and Live Connection Modes
8
Managing Data Source Credentials and Connection Settings

Data Importing, Cleaning, and Transformation

8 topics in this module

1
Introduction to Power Query Editor
2
Understanding Queries, Applied Steps, and Transformation History
3
Removing Duplicate Records and Handling Missing Values
4
Changing Data Types and Formatting Columns
5
Renaming, Removing, and Reordering Columns
6
Splitting, Merging, and Extracting Column Values
7
Filtering, Sorting, Replacing, and Cleaning Data
8
Applying Transformations and Loading Data into Power BI

Advanced Power Query and M Language

8 topics in this module

1
Designing Reusable Power Query Workflows
2
Merging Queries to Combine Related Datasets
3
Appending Queries to Stack Tables
4
Pivoting and Unpivoting Data
5
Creating Conditional, Custom, and Index Columns
6
Using Parameters and Dynamic Query Logic
7
Introduction to M Language, Functions, and Expressions
8
Query Dependencies, Error Handling, and Query Folding Fundamentals

Data Modeling and Relationships

8 topics in this module

1
Introduction to Data Modeling in Power BI
2
Understanding Tables, Columns, Keys, and Relationships
3
Creating One-to-Many and Many-to-Many Relationships
4
Understanding One-to-One and Inactive Relationships
5
Managing Cardinality and Cross-Filter Direction
6
Designing Fact Tables and Dimension Tables
7
Building Star and Snowflake Schemas
8
Creating Date Tables and Optimizing Semantic Models

DAX Fundamentals and Calculated Expressions

8 topics in this module

1
Introduction to Data Analysis Expressions (DAX)
2
Understanding DAX Syntax, Operators, and Expressions
3
Creating Calculated Columns
4
Creating Measures and Understanding Their Use
5
Understanding Row Context and Filter Context
6
Using SUM, AVERAGE, COUNT, and DISTINCTCOUNT
7
Working with IF, SWITCH, AND, and OR
8
Debugging DAX Expressions and Resolving Common Errors

Advanced DAX Functions and Calculations

8 topics in this module

1
Understanding CALCULATE and Its Evaluation Context
2
Using FILTER, ALL, ALLEXCEPT, and REMOVEFILTERS
3
Working with RELATED and RELATEDTABLE
4
Using SUMX, AVERAGEX, and Other Iterator Functions
5
Understanding VALUES, DISTINCT, and SELECTEDVALUE
6
Creating Dynamic Measures and Conditional Calculations
7
Using Variables with VAR and RETURN
8
Optimizing DAX Expressions and Building Reusable Measures

Time Intelligence and Date-Based Analysis

8 topics in this module

1
Introduction to Time Intelligence in Power BI
2
Creating and Configuring a Date Table
3
Calculating Month-to-Date, Quarter-to-Date, and Year-to-Date
4
Building Week-Based and Custom Calendar Calculations
5
Comparing Current and Previous Period Performance
6
Calculating Year-over-Year and Month-over-Month Growth
7
Using SAMEPERIODLASTYEAR, DATEADD, and DATESYTD
8
Building Time-Based Trends, Forecast Comparisons, and Performance Reports

Data Visualization and Chart Design

8 topics in this module

1
Principles of Effective Data Visualization
2
Creating Bar, Column, and Stacked Charts
3
Designing Line, Area, and Combo Charts
4
Using Pie Charts, Donut Charts, and Treemaps
5
Creating Tables and Matrix Visualizations
6
Using Cards, KPI Visuals, and Gauge Charts
7
Formatting Titles, Labels, Legends, Tooltips, and Axes
8
Selecting the Right Visual for Business Requirements

Filters, Slicers, and Interactive Reports

0 topics in this module

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