Power BI Course

Course Duration: 10 weeks (18-20 sessions, 2-hours each)

Fee: ₹399/-

Power BI Course – Roadmap to Data Visualization and Business Intelligence 

This detailed roadmap outlines the structured progression from beginner to advanced levels in Power BI, ensuring you acquire all the necessary skills to become proficient in data visualization and business intelligence.

Module 1: Introduction to Power BI (Beginner Level)

1. What is Power BI?

• Overview of Power BI as a Business Intelligence tool.

• Components of Power BI: Power BI Desktop, Power BI Service, Power BI Mobile, Power BI Gateway, Power BI Report Server.

• Introduction to the Power BI interface and navigation.

2. Getting Started with Power BI Desktop

•  Installing Power BI Desktop.

• Overview of the Power BI workspace (Canvas, Fields pane, Visualizations pane).

• Importing data from different sources (Excel, CSV, databases, online services).

• Understanding the data model in Power BI: Tables, relationships, and fields.

3. Loading and Connecting Data

• Loading data into Power BI from multiple sources.

• Data types and formats in Power BI.

• Basic data transformation with Power Query Editor (cleaning data, removing columns, changing data types).

4. Creating Basic Visualizations

• Using basic charts: bar, column, pie, line charts.

•  Formatting visualizations (colors, legends, labels).

• Adding titles and axis titles.

• Creating tables and matrix visualizations.

5. Saving and Publishing Reports

• Saving Power BI reports locally.

• Publishing reports to Power BI Service (cloud)

Module 2: Data Transformation and Modeling (Intermediate Level)

1. Data Transformation with Power Query

• Power Query Editor in depth: Filtering, sorting, merging, and appending data.

• Handling missing or duplicate data.

• Creating calculated columns, measures, and custom columns.

• Understanding and working with queries.

2. Data Modeling

• Understanding data relationships: One-to-one, one-to-many, many-to-many.

• Creating and managing relationships between tables.

•  Using Power BI’s automatic relationship detection.

• Working with star schema and snowflake schema models.

3. DAX (Data Analysis Expressions) Basics

•  Introduction to DAX: What it is and when to use it.

• Basic DAX functions: SUM, AVERAGE, COUNTROWS, DISTINCTCOUNT, etc.

• Creating calculated columns and measures.

• Introduction to row context and filter context in DAX.

4. Time Intelligence in DAX

• Working with date tables.

•  Using time intelligence functions like TOTALYTD, SAMEPERIODLASTYEAR, and PARALLELPERIOD.

5. Best Practices in Data Modeling

• Normalizing data for optimal performance.

•  Data granularity and modeling for faster queries.

• Optimizing data models for larger datasets.

Module 3: Advanced Power BI Features (Advanced Level)

1. Advanced Visualizations

• Custom visuals: When and how to use them.

• Creating interactive reports with slicers, filters, and drill-through.

• Using advanced charts like funnel charts, KPI indicators, and water-fall charts.

• Formatting and designing reports for presentation.

2. Advanced DAX Functions

• Complex DAX expressions: CALCULATE, FILTER, ALL, ALLEXCEPT.

• Handling time-based calculations with advanced DAX.

• Using variables and advanced DAX optimization techniques.

3. Power BI Service and Cloud Features

• Understanding Power BI Service (Power BI Online).

• Creating and sharing dashboards and reports.

• Managing workspaces, datasets, and dataflows.

• Setting up and scheduling data refreshes.

•  Creating and managing Power BI apps.

4. Power BI Integration with Excel and Other Tools

• Connecting Power BI with Excel for advanced analytics.

• Embedding Power BI reports in websites or SharePoint.

• Integration with other Microsoft tools like Teams and Azure. 

5. Advanced Data Refresh and Gateways

• Setting up On-Premises Data Gateway for local data refresh.

• Troubleshooting data refresh issues.

• Managing scheduled refreshes and data connectivity.

Module 4: Power BI Best Practices and Case Studies (Expert Level)

1. Power BI Report Design Best Practices

• Report layout: How to design reports for readability and effectiveness.

• Optimizing reports for performance (reduce complexity, use filters, and avoid heavy visuals).

•  Tips for making your reports interactive and user-friendly.

2. Optimizing Power BI Performance

• Techniques to optimize Power BI reports for large datasets.

• Using DirectQuery vs. Import Mode.

• Optimizing DAX queries for performance.

• Using incremental data refresh.

3. Power BI Deployment and Governance

• Managing permissions and access to reports and dashboards.

• Deploying Power BI reports in the organization.

• Setting up data governance policies (compliance, security).

4. Real-World Case Studies and Hands-On Exercises

• Participants work on real-life scenarios, creating end-to-end reports.

• Case studies from different industries: Finance, Sales, Operations, and Marketing.

• Group discussions and Q&A for solving business intelligence problems using Power BI.

Course Delivery Format:

• Live Instructor-Led Sessions: Interactive online sessions via Zoom or Teams.

• Self-Paced Learning: Recorded video lessons and downloadable resources.

• Hands-On Practice: Real-world exercises and access to sample data files.

• Assessments and Quizzes: To test the knowledge gained in each module.

• Final Project: Create a Power BI report/dashboard from scratch using the concepts learned.

Certification:

• Participants will receive a Certificate of Completion upon successful completion of the course and project.

Pre-Requisites for Participants:

• Basic knowledge of Excel (especially formulas and pivot tables).

• Familiarity with general business concepts (Sales, Marketing, Finance) will be helpful.

By following this roadmap, you will master Power BI, empowering yourself to transform raw data into actionable insights and impactful visualizations. Join now to start your journey toward becoming a Power BI expert!