Courses

Master Power BI with Real-World Skills in Tamil & English Popular

Master Power BI with Real-World Skills in Tamil & English

Duration: 30 live interactive sessions (1.5 hours each) Price: ₹6,500.00 ₹12,000.00

Master Power BI with real-world, hands-on skills in Tamil. This course includes 30 live interactive sessions, each lasting 1.5 hours, covering practical examples and projects to help you become proficient in Power BI.

Available Slots

Course Description

1
Our Power BI Training Program is designed to help you master end-to-end data analytics using Power BI.
2
Build Interactive Visualizations to uncover meaningful business insights.
3
Leverage DAX, Power Query, and Transformations to extract business intelligence.
4
Publish & Share Reports, Dashboards, and Datasets in Power BI Service for collaboration.
5
Clean & Import Data from Excel using Power Query and M to ensure accuracy.
6
Create Measures, Calculated Columns, and Tables using DAX to add deeper analytical value.
7
Connect to Relational Databases and seamlessly integrate with multiple data sources.
8
Profile, Shape, and Filter Tables to resolve data quality issues before analysis.
9
Combine Data from CSV files, Excel Workbooks, and other sources into a single model.
10
Explore & Extend Power BI Data Models for advanced analytics and reporting.

Course Duration & Topics

1. Chapter 1: Introduction to Power BI

• What is Business Intelligence (BI) • Overview of Power BI and its ecosystem • Power BI Desktop vs Power BI Service vs Power BI Mobile • Installing and setting up Power BI Desktop • Understanding the Power BI workflow

(1 day)
2. Chapter 2: Getting Started with Data

• Connecting to Excel, CSV, and Text files • Importing data from multiple sources • Understanding relational databases • Power BI supported data sources overview

(2 day)
3. Chapter 3: Power Query & Data Transformation

• Introduction to Power Query Editor • Shaping, Cleaning, and Transforming Data • Removing duplicates, handling nulls, and fixing data types • M Language basics (Power Query formula language) • Combining data with Merge and Append Queries

(3 days)
4. Chapter 4: Data Modeling

• Introduction to Data Modeling concepts • Understanding tables, relationships, and keys • Star Schema vs Snowflake Schema • Active vs Inactive relationships • Using USERELATIONSHIP function

(2 day)
5. Chapter 5: Introduction to DAX (Data Analysis Expressions)

• Calculated Columns vs Measures • Row context vs Filter context • Basic DAX functions: SUM, AVERAGE, COUNT, DISTINCT • Logical functions: IF, SWITCH • Text functions and Date functions

(6 days)
6. Chapter 6: Advanced DAX

• Aggregation functions: SUMX, AVERAGEX, COUNTX • Time Intelligence functions: SAMEPERIODLASTYEAR, PARALLELPERIOD, TOTALYTD, DATESYTD • CALCULATE and FILTER functions in detail • Variables in DAX • Dynamic measures with SELECTEDVALUE • Advanced scenarios for business calculations

(6 days)
7. Chapter 7: Data Visualization & Reporting

• Overview of Power BI visuals • Creating bar, line, pie, map, and combo charts • Formatting and customizing visuals • Using slicers, filters, and bookmarks • Hierarchies and drill-through reports • KPI, Card, and Matrix visuals

(2 days)
8. Chapter 8: Advanced Visualizations

• Custom visuals from Power BI Marketplace • Decomposition tree, Q&A visual • Conditional formatting in visuals • Creating interactive dashboards • Storytelling with Power BI

(2 days)
9. Chapter 9: Power BI Service (Cloud)

• Publishing reports to Power BI Service • Creating dashboards and apps • Sharing and collaborating with stakeholders • Workspaces and permissions • Power BI Pro vs Premium features

(2 day)
10. Chapter 10: Data Refresh & Security

• Scheduled data refresh in Power BI Service • Introduction to Data Gateway • Row-Level Security (RLS) implementation

(1 day)
11. Chapter 11: Power BI Integration

• Exporting reports to Excel and PDF • Embedding Power BI in websites and applications • Integrating Power BI with Teams and SharePoint

(1 day)
12. Chapter 12: Best Practices & Optimization

• Performance tuning in Power BI • Optimizing DAX calculations • Documentation and naming conventions • Dashboard design best practices

(2 day)

Who Can Join?

  • Freshers who want to enter IT/Analytics field or transition from Non-IT to IT
  • Students preparing for job opportunities
  • Professionals planning a career transition
  • Anyone interested in Data Analytics

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