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Data Analytics with Power BI

Career-Oriented Professional Program

Want to transform raw data into meaningful insights that drive business success? The Power BI Training Program at JVSIT & TGS Training Institute is designed to help you master the art of data visualization and business intelligence. In just 3 months, you’ll learn how to analyze, model, and present data effectively to make smarter decisions and deliver impactful business reports.

Gain in-demand skills like Power Query, DAX, data modeling, and dashboard design — everything you need to become a Power BI professional ready for real-world projects and top-tier career opportunities.

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    Data Analytics with Power BI Course – Upcoming Batches

    Date:

    8th October

    Time

    07:00 AM TO 08:00 AM

    Program Duration:

    80-100 Days

    Learning Format:

    Training

    Course Curriculum

    Download

    Transform Your Career with Power BI Expertise

    In today’s data-driven world, businesses need professionals who can transform data into insights that drive performance. Our Power BI course at JVSIT & TGS helps you master visualization, reporting, and business intelligence, giving you the competitive edge to excel as a Data Analyst, BI Developer, or Reporting Specialist.

    KEY HIGHLIGHTS

    Complete Power BI Mastery

    Learn everything from data import and modeling to DAX formulas and advanced visual storytelling.

    Practical, Hands-On Learning

    Work on live business datasets, build interactive dashboards, and present insights just like a pro analyst.

    Real Industry Scenarios

    Solve case studies modeled after real business problems to understand how data powers decisions.

    Collaborative, Mentor-Led Sessions

    Learn from experienced BI professionals and collaborate with peers through guided, interactive sessions.

    Comprehensive Training

    • 2-Hour Daily Interactive Learning Sessions
    • Industry-Aligned Curriculum with Real-Time Projects
    • Access to Live Datasets & Practical Assignments
    • Professional Certification on Completion
    • Dedicated Placement & Career Support
    • Placement Assistance & Career Guidance
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    Power BI Course Key Features

    • Comprehensive Curriculum: Covers Power BI fundamentals, data modeling, DAX, visualizations, dashboards, and advanced analytics techniques.
    • Lab Access: Hands-on practice with real datasets, interactive dashboards, and reporting exercises for practical learning.
    • Certification: Earn an industry-recognized certificate upon completion.
    • Career Support: Resume building, interview preparation, and placement assistance.
    • Flexible Learning: Online and offline options with self-paced modules.

    Skills You Will Gain

    • Build and publish dashboards for real-time business insights
    • Design robust data structures, hierarchies, and star schemas
    • Perform data extraction, transformation, and loading (ETL) efficiently
    • Create custom calculations, KPIs, and time-based measures
    • Work on end-to-end BI projects that prepare you for professional challenges
    • Connect Power BI with Excel, SQL Server, and cloud data sources

    Modules & Milestones

    Introduction to Power BI Desktop
    • The Microsoft Self-Service Business Intelligence Solution
    • Installing and Running Power BI Desktop
    • A First Power BI Desktop dashboard
    • The Data Load Process
    • The Power BI Desktop Window
    • Data Sources
    • Loading Data
    • Web Pages
    • CSV Files
    • Text Files
    • XML Files
    • Excel
    • Microsoft Access Databases
    • Relational Databases: SQL Server
    • Automatically Loading Related Tables
    • Database Options
    • Other Data Sources
    • Reusing and Pinning Data Sources
    • Refreshing Data
    • Connection Security
    • Power BI Desktop Queries
    • Editing Data After a Data Load
    • Transforming Data Before Loading
    • Query or Load?
    • The Power BI Desktop Query Editor
    • The Applied Steps List
    • Dataset Shaping
    • Renaming Columns
    • Reordering Columns
    • Removing Columns
    • Merging Columns
    • Removing Records
    • Removing Duplicate Records
    • Sorting Data
    • Filtering Data
    • Viewing a Full Record
    • Power BI Desktop Query Editor Context
      Menus
      • Changing Data Type
      • Detecting Data Types
      • Replacing Values
      • Transforming Column Contents
      • Filling Down
      • Using the First Row As Headers
    • Grouping Records
    • The Power BI Desktop View
      • Extending
      • Duplicating
      • Splitting Columns
      • Merging Columns
      • Custom Columns
      • Index Columns
      • Merging Data
    • Appending Data
      • Adding the Contents of One Query to Another
      • Adding Multiple Files from a Source Folder
    • Changing the Data Structure
    • Unpivoting Tables
    • Pivoting Tables
    • Transposing Rows and Columns
    • Managing the Transformation Process
    • Managing Queries
      • Organizing Queries
      • Grouping Queries
      • Duplicating Queries
      • Referencing Queries
      • Add a Column As a New Query
      • Enable Data Load
      • Enable Data Refresh
    • Pending Changes
    • Copying Data from Power BI Desktop
    • The Power BI Desktop View
      • Extending
      • Duplicating
      • Splitting Columns
      • Merging Columns
      • Custom Columns
      • Index Columns
      • Merging Data
    • Appending Data
      • Adding the Contents of One Query to Another
      • Adding Multiple Files from a Source Folder
    • Changing the Data Structure
    • Unpivoting Tables
    • Pivoting Tables
    • Transposing Rows and Columns
    • Managing the Transformation Process
    • Managing Queries
      • Organizing Queries
      • Grouping Queries
      • Duplicating Queries
      • Referencing Queries
      • Add a Column As a New Query
      • Enable Data Load
      • Enable Data Refresh
    • Pending Changes
    • Copying Data from Power BI Desktop

    Chapter 6 : Creating a data model
    Data Modeling in the Power BI Desktop Environment

    • Data Model or Query?
    • The Power BI Desktop Data View Ribbons
    • Managing Power BI Desktop Data
    • Power BI Desktop Data Types
    • Formatting Power BI Desktop Data
    • Preparing Data for Dashboards

    o Categorize Data

    o Apply a Default Summarization

    • Sorting Data in Power BI Desktop Tables
    • Adding Hierarchies
    • Designing a Power BI Desktop Data Model

    o Data View and Relationship View

    o Relationship View Display Options

    o Creating Relationships

    o Creating Relationships Manually

    o Creating Relationships Automatically

    o Deleting Relationships

    o Managing Relationships

    o Deactivating Relationships

    o Advanced Relationship Options

    • Types of Calculations

    • New Columns

    • Concatenating Column Contents

    • Tweaking Text

    • Simple Calculations

      • Math Operators

      • Rounding Values

    • Calculating Across Tables

    • Cascading Column Calculations

    • Using Functions in New Columns

    • Simple Logic: the IF() Function

    • Making Good Use of the Formula Bar

      • Exception Indicators

      • Creating Alerts

      • Flagging Data

      • Nested IF() Functions

      • Creating Custom Groups Using Multiple Nested IF() Statements

      • Multiline Formulas

    • A First Measure: Number of Cars Sold

    • Basic Aggregations in Measures

    • Using Multiple Measures

    • Cross-Table Measures

    • More Advanced Aggregations

    • Filter Context

      • Row Context

      • Query Context

      • Filter Context

    • Filtering Data in Measures

    • Simple Filters

      • Text and Numeric Filters

    • More Complex Filters

      • Multiple Criteria in Filters

      • Using Multiple Filters

    • Calculating Percentages of Totals

      • A Simple Percentage

      • Removing Multiple Filter Elements

      • Visual Totals

      • The ALLEXCEPT() Function

    • Filtering on Measures

    • Displaying Rank

    • Comments and Notes on Using Measures

    • Calculation Options

    • Simple Date Calculations

      • Date and Time Formatting

      • Calculating the Age of Cars Sold

      • Calculating the Difference Between Two Dates

    • Adding Time Intelligence to a Data Model

    Creating and Applying a Date Table

    • Creating the Date Table

    • Adding “Sort By” Columns

    • Date Table Techniques

    • Adding the Date Table to the Data Model

    Applying Time Intelligence

    • YTD, QTD, and MTD Calculations

    • Analyze Data as a Ratio Over Time

    • Comparing a Metric with Results from a Range of Dates

    Comparisons with Previous Time Periods

    • Comparison with a Parallel Period in Time

      • Comparing Data from Previous Years

      • Comparing with the Same Date Period from a Different Quarter, Month, or Year

    • Rolling Aggregations Over a Period of Time

    • Power BI Desktop Dashboards

    • Tables

      • Creating, Deleting, Copying Tables

      • Changing Table Size and Position

      • Changing Column Order / Removing Columns

    • Types of Data

    • Enhancing Tables

    • Table Granularity

    • Creating a Matrix

    • Multi-Row Cards

    • Switching Between Table Types

    • Chart Adjustments

    • Donut Charts

    • Funnel Charts

    • Multiple Data Values in Charts

    • 100% Stacked Column and Bar Charts

    • Scatter Charts

    • Bubble Charts

    • Waterfall Charts

    • Dual-Axis Charts

    • Data Details & Drill Down

    • Enhancing Charts

    • Bubble Chart Play Axis

    • Using Geographical Data

    • Adjusting the Map Display in Power BI Desktop

    • Filled Maps

    • Tree Maps

    • Gauges

    • Additional Visuals

    • Loading Custom Visuals

    • Overview of Common Custom Visuals

    • Filters

    • Visual-Level Filters

    • Filtering Different Data Types

    • Advanced Text Filters

    • Specific Visualization-Level Filters

    • Multiple Filters

    • Page-Level Filters

    • Report-Level Filters

    • Removing Filters

    • Using the Filter Hierarchy

    • Filtering Tips

    • Slicers

    • Formatting Slicers

    • Using Charts as Slicers

      • Charts as Filters

      • Highlighting Chart Data

      • Cross-Chart Highlighting

      • Highlighting Data in Bubble Charts

      • Column and Bar Charts as Filters

    • Specifying Visual Interactions

    • Choosing the Correct Approach to Interactive Data Selection

    • Filters

    • Visual-Level Filters

    • Filtering Different Data Types

    • Advanced Text Filters

    • Specific Visualization-Level Filters

    • Multiple Filters

    • Page-Level Filters

    • Report-Level Filters

    • Removing Filters

    • Using the Filter Hierarchy

    • Filtering Tips

    • Adding Text Boxes to Annotate a Report

    • Modifying Page Background Color

    • Adding Images and Shapes

    • Organizing Visuals on the Page

    • Exporting Data from a Visualization

    • Dashboards in Power BI

    • Creating a Power BI Dashboard

    • Dashboard Tiles in Power BI

    • Pin a Tile to a Dashboard (from a Report, Excel, or Another Dashboard)

    • Adding Text Boxes to Annotate a Report

    • Modifying Page Background Color

    • Adding Images and Shapes

    • Organizing Visuals on the Page

    • Exporting Data from a Visualization

    • Q&A in Power BI

    • How to Use Power BI Q&A

    • Data Refresh in Power BI

    • Configure Scheduled Refresh

    • Refresh a Dataset Created from a Local Excel Workbook

    • Live Projects

    • CV Guidance

    • FAQs

    • 6-Month Internship Certificate

    • 100% Placement Assistance

    Why Choose TGS for Power BI

    Upskilling Minds, Unlocking Opportunities

    • Data Visualization Mastery: Transform raw data into interactive charts and dashboards for clear insights.
    • User-Friendly Interface: Intuitive drag-and-drop functionality makes dashboard creation simple and fast.
    • Business Intelligence Ready: Connects seamlessly with multiple data sources to provide real-time analytics.
    • Scalable & Collaborative: Supports large datasets, team collaboration, and enterprise-level reporting.
    • Interactive & Insightful: Enables drill-downs, filters, and advanced visuals to answer complex business questions.
    • Career-Focused Learning: Practical projects and real-world scenarios to boost employability and placement readiness.

    Frequently asked questions

    What is the Power BI Course about?

    The Power BI Course is a comprehensive program that teaches you how to visualize, analyze, and report data using Power BI’s tools and best practices.

     

    This course is ideal for students, working professionals, analysts, and developers who want to enhance their skills in business intelligence and data visualization.

     No prior programming knowledge is required. Basic computer and Excel skills are enough to get started.

     You’ll learn data modeling, DAX formulas, interactive dashboards, data transformation using Power Query, connecting to multiple data sources, and performance optimization.

     The Power BI Course typically runs for 45–60 days, depending on your batch schedule and learning pace.

    Ready to Launch Your Data Analytics with Power BI Career?

    Enroll Now

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