This intensive 2-month program provides a rapid and practical pathway to mastering Power BI for data analysis, visualization, and reporting.

Program Overview:

Duration: 2 Months

Format: Online / Offline (Hybrid Mode) (Self-paced with live sessions and mentorship)

Target Audience: Beginners with a strong analytical aptitude, professionals looking to transition into data analytics, and anyone interested in building a career in data.

Classes: 1 Class / Week

Class Duration: 2 Hours / Class

Month 1: Data Foundations & Preparation

• Week 1: Introduction to Power BI & Interface

  • Understanding Business Intelligence concepts.

  • Power BI Desktop overview: interface, components (Report, Data, Model views).

  • Connecting to various data sources (Excel, CSV, SQL Server).

  • Outcome: Navigate Power BI Desktop and import basic datasets.

• Week 2: Data Connection & Initial Loading

  • Exploring different data connection modes (Import, DirectQuery).

  • Understanding data types and basic data profiling.

  • Loading data into Power BI.

  • Outcome: Confidently connect to diverse data sources and load data efficiently.

• Week 3: Power Query Editor (ETL)

  • Introduction to the Power Query Editor for Extract, Transform, Load (ETL) operations.

  • Data cleaning techniques: handling missing values, removing duplicates, correcting errors.

  • Data transformation: pivoting/unpivoting, merging queries, appending queries.

  • Outcome: Clean and transform raw data into a usable format for analysis.

• Week 4: Data Modeling Fundamentals

  • Understanding data models: fact tables, dimension tables.

  • Creating and managing relationships between tables (one-to-many, many-to-many).

  • Cardinality and cross-filter direction.

  • Outcome: Build a robust and efficient data model for analysis.

Month 2: DAX, Visualization & Sharing

• Week 5: Introduction to DAX (Data Analysis Expressions)

  • Understanding DAX syntax and concepts (calculated columns vs. measures).

  • Creating basic calculated columns for derived data.

  • Common DAX functions (SUM, AVERAGE, COUNT, IF).

  • Outcome: Write simple DAX expressions to extend your data model.

• Week 6: Advanced DAX Measures & Time Intelligence

  • Creating explicit measures for aggregations.

  • Understanding filter context and row context.

  • Time intelligence functions (TOTALYTD, SAMEPERIODLASTYEAR).

  • Outcome: Develop powerful DAX measures for complex analytical calculations.

• Week 7: Report Design & Visualizations

  • Choosing appropriate visualizations (bar charts, line charts, pie charts, tables, cards).

  • Designing interactive reports: slicers, filters, drill-through.

  • Customizing visuals for clarity and impact.

  • Outcome: Create compelling and interactive data reports.

• Week 8: Power BI Service & Collaboration

  • Publishing reports to Power BI Service.

  • Creating dashboards for executive summaries.

  • Sharing reports and dashboards, understanding workspaces.

  • Data refresh and basic security considerations.

  • Outcome: Share insights effectively and manage Power BI assets in the cloud.

This program emphasizes hands-on exercises and practical application, ensuring you gain proficiency in Power BI for real-world data analysis and reporting tasks.