Available both Physical and virtual
1ST BATCH: {date1}
2ND BATCH: {date2}
3RD BATCH: {date3}
Course Fee: 285000
Objective:
- Master data transformation techniques using Power Query Editor
- Apply M Code for advanced data shaping, cleansing, and automation
- Create interactive, data-driven dashboards and reports in Power BI
- Develop complex data models and establish effective relationships between datasets
- Automate report workflows and optimize data refresh processes
- Apply Power BI tools and techniques to improve data analysis and business decision-making
Content:
Introduction to Power BI and Power Query Fundamentals
- Overview of Power BI and its capabilities
- Introduction to Power Query Editor
- Connecting and importing data from multiple sources
- Cleaning data by removing errors, duplicates, and blanks
- Understanding the Power Query interface and workflow
- Introduction to M Code structure, syntax, and functions
Advanced Data Transformation
- Applying conditional transformations and creating custom columns
- Merging and appending queries to combine datasets
- Using Power Query functions for advanced data shaping
- Pivoting, unpivoting, and restructuring data tables
- Filtering, grouping, and organizing data effectively
- Optimizing query load settings and data refresh performance
Mastering M Code
- Writing custom M Code for advanced data manipulation
- Using M Code for dynamic filtering and data cleansing
- Applying conditional logic and nested functions
- Optimizing query performance through advanced M Code techniques
- Creating reusable functions and parameters in M Code
- Debugging and resolving M Code errors
Building Interactive Power BI Reports
- Understanding the fundamentals of data modelling
- Creating calculated columns and measures using DAX
- Designing interactive visualizations and selecting appropriate charts
- Applying best practices for effective dashboard development
- Implementing slicers, filters, and drill-through functionality
- Publishing, sharing, and securing reports through Power BI Service
Report Automation and Optimization
- Scheduling and automating report updates and data refreshes
- Optimizing report performance through effective data modelling practices
- Integrating Power BI with Microsoft applications such as Excel and Teams
- Building complete Power BI projects from data preparation to final reporting
- Applying Power Query, M Code, and Power BI techniques to real-world scenarios
For Whom:
- Data Analysts, Business Analysts, and Business Intelligence Developers
- IT and Data Professionals responsible for data management and reporting
- Managers seeking to improve decision-making through data insights
- Finance, Operations, and Marketing Professionals working with complex datasets
- Professionals looking to enhance their Power Query, M Code, and Power BI skills