Power BI

Course Duration: 32 Hours of Comprehensive Learning

Mode of Learning:

Choose the training format that best fits your schedule and learning style:

Online Instructor-Led Training – Learn directly from certified experts in live interactive sessions.
Online Self-Paced Learning – Study anytime, anywhere with flexible access to course materials.
Onsite / Classroom Training – Experience hands-on, instructor-led sessions in a collaborative environment.

What’s Included:

Our comprehensive training program is designed to ensure a complete, career-ready learning experience. You’ll get:

Onsite Instructor-Led Sessions
Live Role
Certified Trainers
Post-Training Support
Resource Materials including eBooks, eGuides, and reference documentation.
Real-World Scenarios & Case Studies
Networking Opportunities
Group Projects and Collaborative Activities
Best Practices and Industry Insights
Access to Recorded Sessions (available only for online programs) for flexible review.
Follow-Up Sessions
Tool Demonstrations and Walkthroughs

Empower your career with expert-led, practical, and flexible training designed to help you master real-world skills and stay ahead in the industry.

Course Content

What is Power BI?

Overview of Power BI and Its Components (Power BI Desktop, Power BI Service, Power BI Mobile)
Power BI Ecosystem: Reports, Dashboards, and Datasets
Use Cases of Power BI in Business and Analytics

Installing and Setting Up Power BI

Connecting to Data Sources

Data Transformation with Power Query

Basic Visualizations in Power BI

Working with Slicers and Filters

Formatting and Customizing Visuals

Using Measures and Aggregations

Understanding Data Relationships

Introduction to DAX (Data Analysis Expressions)

Time Intelligence Functions in DAX

Data Modeling Best Practices

Designing Effective Dashboards

Using Bookmarks and Selections

Using Power BI Themes and Templates

Publishing and Sharing Reports

Advanced Analytics and Forecasting

R and Python Integration in Power BI

Using Power BI with Power Query for Advanced Data Transformation

Creating and Managing Dataflows

Power BI Service Overview

Collaborating and Sharing in Power BI

Scheduled Data Refresh and Publishing

Power BI Mobile and Embedded Analytics

Power BI Advanced Features

Final Project: Building a Complete Power BI Report

Certification Preparation and Career Pathways

Course Duration: 32 Hours of Comprehensive Learning

Mode of Learning:

What’s Included:

Course Content

What is Power BI?

Overview of Power BI and Its Components (Power BI Desktop, Power BI Service, Power BI Mobile)

Power BI Ecosystem: Reports, Dashboards, and Datasets

Use Cases of Power BI in Business and Analytics

Installing and Setting Up Power BI

Installing Power BI Desktop

Navigating the Power BI Interface: Ribbon, Panels, Visualizations Pane

Power BI Workspace Overview

Connecting to Data Sources

Importing Data from Excel, CSV, and Text Files

Connecting to Databases (SQL Server, Azure, etc.)

Using Power Query to Import Data

Data Transformation with Power Query

Introduction to Power Query Editor

Cleaning and Transforming Data: Removing Duplicates, Handling Missing Data, and Data Types

Merging and Appending Queries in Power Query

Basic Visualizations in Power BI

Creating Bar, Line, and Column Charts

Pie Charts, Donut Charts, and Treemaps

Table and Matrix Visualizations: Basic Data Representation

Working with Slicers and Filters

Adding and Using Slicers for Data Filtering

Filtering Visuals and Pages: Basic and Advanced Filtering

Using Hierarchies and Drill-Down Features in Charts

Formatting and Customizing Visuals

Formatting Options for Visualizations: Colors, Titles, Legends

Customizing Axes, Labels, and Data Labels

Creating Interactive Reports with Dynamic Visualizations

Using Measures and Aggregations

Creating Basic Measures with DAX (Data Analysis Expressions)

Understanding Aggregation Functions: SUM, AVERAGE, COUNT, etc.

Formatting and Displaying Measures in Reports

Understanding Data Relationships

Introduction to Data Models in Power BI

Creating Relationships Between Tables: One-to-Many, Many-to-Many

Managing and Editing Relationships in the Model View

Introduction to DAX (Data Analysis Expressions)

Understanding the Basics of DAX

Creating Calculated Columns and Measures

Using Common DAX Functions: SUMX, CALCULATE, FILTER

Time Intelligence Functions in DAX

Working with Date/Time Data in Power BI

Using DAX Time Intelligence Functions: YEAR-TO-DATE, MONTH-TODATE, Previous Period Calculations

Creating Time-Based Visualizations

Data Modeling Best Practices

Organizing Data Tables and Relationships Efficiently

Using Star Schema for Improved Performance

Handling Many-to-Many Relationships

Designing Effective Dashboards

Best Practices for Dashboard Design: Simplicity, Layout, and User Experience

Using Multiple Visuals to Tell a Story

Creating Interactive Dashboards with Cross-Filtering and Highlighting

Using Bookmarks and Selections

Creating and Using Bookmarks to Capture Visual States

Leveraging Selections Pane for Advanced Interactivity

Building Custom Navigation with Bookmarks

Using Power BI Themes and Templates

Applying and Customizing Power BI Themes

Creating Consistent Layouts with Power BI Templates

Reusing Dashboards with Templates for Different Projects

Publishing and Sharing Reports

Publishing Reports to Power BI Service

Sharing Reports and Dashboards with Users and Groups

Configuring Power BI Apps for Distribution

Advanced Analytics and Forecasting

Adding Trend Lines and Forecasting to Visualizations

Using the Power BI Analytics Pane for Statistical Insights

Implementing What-If Parameters for Scenario Analysis

R and Python Integration in Power BI

Introduction to R and Python Scripting in Power BI

Running R and Python Scripts for Data Visualization and Transformation

Creating Custom Visuals Using R and Python

Using Power BI with Power Query for Advanced Data Transformation

Advanced Data Transformation Techniques in Power Query

Grouping, Pivoting, and Unpivoting Data