Module 1: Introduction to Power BI
Overview of Power BI:
What is Power BI?
Key components (Power BI Desktop, Power BI Service)
Benefits and use cases
Getting Started with Power BI:
Installation and setup
Navigating the Power BI interface
Module 2: Data Import and Cleaning
Data Sources:
Connecting to various data sources (Excel, CSV, SQL Server, Azure Data Lake, etc.)
Querying and extracting data
Data Cleaning and Transformation:
Handling missing values and inconsistencies
Data types and formatting
Creating calculated columns and measures
Data Modeling:
Creating relationships between tables
Designing star schema and snowflake schema
Module 3: Data Visualization
Visualizations:
Understanding different types of visualizations (bar charts, line charts, pie charts, scatter plots, etc.)
Choosing the right visualization for different data scenarios
Creating Dashboards and Reports:
Building interactive dashboards
Adding slicers, filters, and drill-down capabilities
Formatting and styling reports
Module 4: Advanced Data Modeling
Hierarchies and Levels:
Creating hierarchies to summarize data at different levels
Time Intelligence:
Using time-related functions (DATEADD, DATEDIFF, etc.)
Creating year-over-year comparisons and trend analysis
Data Analysis Expressions (DAX):
Understanding DAX syntax and functions
Writing complex calculations and formulas
Module 5: Data Storytelling and Best Practices
Effective Storytelling:
Designing visually appealing and informative dashboards
Telling a compelling story with data
Best Practices:
Performance optimization
Data governance and security
Accessibility and usability
Module 6: Power BI Service
Publishing Reports and Dashboards:
Publishing reports to Power BI Service
Sharing and collaborating with others
Power BI Mobile Apps:
Using Power BI on mobile devices
Power BI Embedded:
Embedding Power BI visuals into other applications
Module 7: Advanced Topics
Power BI Desktop Pro:
Advanced features and capabilities
Custom Visuals:
Creating and using custom visuals
Automation and Scheduling:
Automating report refreshes and distribution
Integration with Other Tools:
Integrating Power BI with other Microsoft tools (Excel, SharePoint, Azure)
Module 8: Power BI Projects and Case Studies
Project Selection:
Identifying relevant problem statements
Data acquisition and cleaning
Project Execution:
Data Source, modeling, Data Visualization
Presentation and Communication:
Effective storytelling with data
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Location
Day/Duration
Date
Time
Type
Pimpri-Chinchwad
Weekday/Weekend
05/10/2024
09:00 AM
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Dighi
Weekend/Weekend
05/10/2024
11:00 AM
Demo Batch
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Bosari
Weekend/Weekend
05/10/2024
02:00 PM
Demo Batch
Enquiry
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