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Course Description:
Data is everywhere, but are you maximizing its potential? The Power BI Course teaches you to transform ordinary data into valuable business insights that drive organizational success. The course equips data analysts and business intelligence professionals, as well as individuals seeking to enhance their Power BI Data Modelling and DAX skills.
The training offers practical experience for beginners and students preparing for the Power BI PL 300 Certification, focusing on efficient data model development alongside powerful DAX formula creation. Our premier Power BI Training Institute in Ahmedabad helps you gain expertise in dashboard development, report optimization, and data-driven decision-making skills.
What You Will Learn:
This MS Power BI Course provides you with usable skills that relate directly to actual business cases. Here’s what you’ll learn:
- Fundamentals of Power BI Data Modelling for efficient data structuring
- Creating relationships, hierarchies, and calculated tables
- Mastering DAX for custom calculations and business logic
- Designing interactive dashboards with advanced visualization techniques
- Best practices for optimizing Power BI performance
- Hands-on projects to reinforce your skills
Bascom Computer Education delivers the ultimate Microsoft Power BI training in Ahmedabad to help students develop field-tested abilities. Enrolling in our program will transform you into an expert Power BI user, so the next step in your professional growth begins now.
Curriculum
- 25 Sections
- 108 Lessons
- 10 Weeks
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- Introduction to Power BI and Business Intelligence5
- Power BI Desktop Interface3
- Connecting to Data Sources4
- Introduction to Power Query Editor (ETL Basics)5
- Basic Data Visualization5
- 5.1Principles of effective data visualization.
- 5.2Creating basic charts: Bar charts, Column charts, Line charts, Pie charts.
- 5.3Understanding and using cards, tables, and matrices.
- 5.4Adding titles, labels, and legends.
- 5.5Introduction to filtering data in visuals (visual, page, and report level filters).
- First Report Creation & Sharing Basics3
- Data Transformation & Modelling (Intermediate)0
- Advanced Power Query & Data Transformation7
- 8.1Merging queries (Joins): Understanding different join types (Inner, Left, Right, Full, Anti).
- 8.2Appending queries.
- 8.3Grouping and aggregating data.
- 8.4Pivoting and Unpivoting columns.
- 8.5Creating custom columns using M language basics.
- 8.6Conditional columns and indexing.
- 8.7Data profiling and quality checks.
- Data Modelling Fundamentals6
- 9.1Importance of a robust data model.
- 9.2Understanding relationships: One-to-one, One-to-many, Many-to-many.
- 9.3Creating and managing relationships in Power BI.
- 9.4Star Schema vs. Snowflake Schema: Best practices for data modelling.
- 9.5Fact tables and Dimension tables.
- 9.6Optimizing data models for performance.
- Introduction to Data Analysis Expressions (DAX)5
- Intermediate Visualizations & Interactivity6
- 11.1Advanced chart types: Scatter plots, Bubble charts, Area charts, Combo charts.
- 11.2Using Slicers for interactive filtering.
- 11.3Drill-through and Drill-down functionality.
- 11.4Bookmarks for guided storytelling.
- 11.5Conditional formatting for highlighting insights.
- 11.6Customizing themes and report appearance.
- Report Design Best Practices4
- Advanced DAX & Data Storytelling (Advanced)0
- Advanced DAX Concepts7
- 14.1CALCULATE function: The most powerful DAX function.
- 14.2Understanding context transition.
- 14.3Time intelligence functions: TOTALYTD, SAMEPERIODLASTYEAR, DATEADD, DATESBETWEEN.
- 14.4Creating complex measures: % of total, running totals, cumulative sums.
- 14.5Iterating functions: SUMX, AVERAGEX, COUNTX.
- 14.6Variables in DAX.
- 14.7Error handling in DAX.
- Advanced Data Modelling Techniques5
- Data Storytelling with Power BI5
- Power BI Service: Advanced Features & Administration7
- 17.1Workspaces and app creation.
- 17.2Sharing and collaboration: Roles and permissions.
- 17.3Row-Level Security (RLS) implementation for data governance.
- 17.4Data gateways for connecting to on-premises data.
- 17.5Scheduled data refresh.
- 17.6Monitoring usage metrics and performance.
- 17.7Introduction to Power BI Apps and embedding reports.
- Integrating Power BI with Other Tools4
- Real-World Applications & Capstone Project0
- Case Studies & Industry Applications6
- 20.1Analysing sales data for a retail company.
- 20.2Financial reporting and budgeting with Power BI.
- 20.3HR analytics and workforce insights.
- 20.4Marketing campaign performance analysis.
- 20.5Supply chain and operations dashboards.
- 20.6Leveraging Power BI for specific industry problems (e.g., healthcare, manufacturing).
- Performance Tuning and Optimization5
- Capstone Project1
- Project Phases:7
- 23.1Data Acquisition & Understanding: Identifying data sources, understanding business requirements.
- 23.2Data Preparation & Cleaning: Extensive use of Power Query for complex transformations.
- 23.3Data Modelling: Designing an optimized star/snowflake schema, defining relationships.
- 23.4DAX Calculations: Creating a comprehensive set of measures and calculated columns for business insights.
- 23.5Report & Dashboard Development: Designing interactive, insightful, and visually appealing reports and dashboards.
- 23.6Data Storytelling & Presentation: Presenting findings and recommendations to a “stakeholder” audience.
- 23.7Documentation: Documenting the data model, DAX measures, and design choices.
- Preparing for the Certification Exam4
- Career Guidance for Data Analysts in MNCs4