₹499.00
Install and configure Power BI Desktop and its best settings. Perform data import, cleaning, and transformation using Power Query Editor. Understand data modeling concepts including star schema and relationships. Use dimensional modeling techniques for fact and dimension tables. Create calculated columns and measures with introductory DAX formulas. Build interactive reports and understand data refresh basics.
₹499.00
Master advanced DAX programming concepts and filter context. Understand and implement Snowflake and Galaxy schema in data models. Utilize complex DAX functions including CALCULATE, FILTER, VAR, and modifiers. Manage relationships and optimize data models with storage modes (Import, DirectQuery). Apply advanced data modeling techniques to improve query performance. Debug and troubleshoot DAX queries effectively.
₹499.00
Perform advanced data shaping with pivot, unpivot, and transpose in Power Query. Design professional reports and dashboards using visualization best practices. Apply bar chart, matrix, map, and card visual formatting options. Implement report themes, wireframing, and storytelling techniques. Use AI-powered visuals like Q&A, Key Influencers, and Decomposition Tree. Configure bookmarks, dynamic formatting, and report navigation for user experience.
₹499.00
Publish and share Power BI reports and dashboards via Power BI Service. Manage workspaces, apps, and user access for collaboration. Configure row-level security (RLS) to control data visibility. Set up data gateways and live connections for real-time data access. Optimize reports for mobile layout and multi-device consumption. Monitor usage and update content using deployment pipelines.
₹499.00
Understand and use MySQL for database querying and management. Analyze and visualize data using Excel, Tableau, and Power BI. Learn Python programming and the Pandas library for data manipulation and analysis. Build real-world Python projects and practical portfolio applications. Create a personal portfolio website and professional resume to showcase skills. Prepare for technical interviews in data and analytics roles. Learn basics of cloud platforms: Azure and AWS.
