POWER BI FOR BUSINESS ANALYSIS TRAINING
OVERVIEW
This module is designed to equip you with the fundamental skills needed to handle and analyze big data seamlessly. Whether you are a business analyst, data professional, or an aspiring data scientist, this course will cater to your learning needs, taking you from the basics to advanced data manipulation and visualization techniques.
Throughout the module, you will discover how Power Query serves as a powerful ETL (Extract, Transform, Load) tool, enabling you to connect to various data sources, apply data transformations, and prepare data for analysis. Moreover, we will delve into the magic of M, the powerful formula language behind Power Query, and learn how to write custom functions and queries to tackle complex data challenges. Once your data is refined and ready, we will introduce you to Power BI – Microsoft’s cutting-edge business intelligence platform. Power BI allows you to create stunning interactive visualizations and insightful reports, providing you with the ability to communicate your findings effectively and make data-driven decisions.
LEARNING OUTCOMES
- Master Power Query Fundamentals: Understand the core concepts of Power Query and utilize its data transformation capabilities to clean, shape, and integrate data from various sources effectively.
- Leverage Advanced Power Query Techniques: Apply advanced data transformation techniques, custom functions, and the Mformula language to handle complex data challenges and prepare data for analysis.
- Combine and Merge Data with Confidence: Seamlessly merge and append data from multiple sources, ensuring data integrity and consistency in the resulting datasets.
- Create Interactive Visualizations: Build compelling and interactive visualizations in Power BI to effectively communicate data insights and make data-driven decisions.
- Understand Data Modeling: Design efficient and optimized data models in Power BI, establishing relationships between tables and utilizing calculated columns and measures to support analysis.
- Harness the Power of DAX: Utilize the Data Analysis Expressions (DAX) language to create sophisticated calculated columns and measures, enabling advanced data analysis and business intelligence.
- Implement Time Intelligence Functions: Effectively use DAX time intelligence functions to perform date-based analysis and gain deeper insights from time-series data.
COURSE OUTLINE
| TIME | DAY 1 | DAY 2 |
| 9:00 am – 9:30 am | Welcome and Introduction
|
Welcome and Introduction
|
| 9:30 am – 10:30 am | Advanced Data Transformations
|
Data Modeling in Power BI
|
| 10:30 am – 10:45 am | Morning Break | |
| 10:45 am – 12:00 pm | Merging and Appending Queries
|
Advanced Data Visualization Techniques
|
| 12:00 pm – 1:00 pm | Lunch Break | |
| 1:00 pm – 2:30 pm | Introduction to Functions in Power Query
|
Introduction to DAX (Data Analysis Expressions)
|
| 2:30 pm – 2:45 pm | Afternoon Break | |
| 2:45 pm – 4:00 pm | Advanced Error Handling and Query Refinement
|
Advanced DAX Functions and Techniques
|
| 4:00 pm – 4:45 pm | Introduction to Query Parameters
|
Power BI Service and Collaboration Features
|
| 4:45 pm – 5:00 pm | Power Query Best Practices and Tips
|
Power BI Best Practices and Performance Tips
|
METHODOLOGY
- Interactive Presentation
- Group Discussions
- Group Activities
- Role Play
- Simulation
- Sharing Experience
- Gamification Method
- Case Studies
