Power Pivot is a powerful data modeling tool in Microsoft Excel that allows users to analyze large datasets efficiently. Combined with DAX (Data Analysis Expressions), it enables users to perform advanced calculations, create relationships, and generate insightful reports. This course will guide learners from the basics of Power Pivot to advanced DAX expressions, making them proficient in data analysis and reporting.
Key Learnings:
Mastering Power Pivot for data modeling
Writing efficient DAX expressions for data analysis
Creating dynamic reports & dashboards
Optimizing performance for large datasets
Applying Power Pivot in real-world business scenarios
Course Outline:
Module 1: Introduction to Power Pivot & Data Modeling
- Understanding Power Pivot & its importance
- Enabling and setting up Power Pivot in Excel
- Importing data from multiple sources (Excel, SQL, CSV, etc.)
- Creating relationships between tables
- Introduction to the data model
Module 2: Fundamentals of DAX Expressions
- What is DAX? Importance in Power Pivot
- Basic DAX syntax & functions
- Understanding Row Context vs. Filter Context
- Creating calculated columns and measures
- Aggregation functions (SUM, AVERAGE, COUNT, etc.)
Module 3: Advanced DAX Functions & Calculations
- Logical functions (IF, SWITCH, etc.)
- Time intelligence functions (YEAR, MONTH, SAMEPERIODLASTYEAR, etc.)
- Working with date tables
- Ranking & percentile calculations
- Using variables in DAX
Module 4: Data Transformation & ETL Process in Power Query
- Introduction to Power Query & its role in data modeling
- Extracting, transforming, and loading (ETL) data
- Cleaning and shaping data before loading into Power Pivot
- Merging and appending queries for complex data models
- Automating data refresh and updates
Module 5: Optimizing Data Models & Performance
- Best practices for data modeling
- Understanding cardinality and relationships
- Performance optimization techniques
- Handling large datasets efficiently
- Using DAX Studio for debugging
Module 6: Advanced Data Analysis & Visualization
- Creating interactive reports with Power Pivot
- Building dashboards using PivotTables and PivotCharts
- Using slicers and filters for dynamic reports
- Combining Power Pivot with Power BI
Module 7: Security & Access Control in Power Pivot
- Row-level security in Power Pivot
- Implementing role-based access to data models
- Protecting sensitive business data
- Managing permissions in shared reports
Module 8: Automating Reports & Enhancing Productivity
- Using Power Pivot with VBA for automation
- Scheduled data refresh with Power Query
- Automating report generation and email alerts
- Integrating Power Pivot with other Microsoft tools
Module 9: Real-world Applications & Case Studies
- Practical business scenarios using Power Pivot
- Financial & sales analysis with DAX
- Case studies on marketing, HR, and operations data
- Project: Building an end-to-end data analysis model
Module 10: Capstone Project & Certification Preparation
- Hands-on capstone project with real-world datasets
- Solving business problems using Power Pivot & DAX
- Best practices for presenting data insights
- Mock exam & certification preparation
Prerequisites:
Basic understanding of Microsoft Excel (Formulas, Pivot Tables)
Familiarity with data handling (optional but helpful)
No prior knowledge of Power Pivot or DAX is required
International Student Fees: USD:250$
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- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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