Microsoft Power BI: Data Analysis Practitioner
Analyze business data, visualize insights, and share those insights across the enterprise
Description
Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
Course Outline
Lesson 1: Analyzing Data with Self-Service BI
- Data Analysis and Visualization for Business Intelligence
- Self-Service BI with Microsoft Power BI
Lesson 2: Connecting to Data Sources
- Create Data Connections
- Configure and Manage Data Relationships
- Save Files in Power BI
Lesson 3: Performing Data Cleaning, Profiling, and Shaping
- Clean, Transform, and Load Data with the Query Editor
- Profile Data with the Query Editor
- Shape Data with the Query Editor
- Combine and Manage Data Rows
Lesson 4: Visualizing Data with Power BI
- Create Visualizations in Power BI
- Chart Data in Power BI
Lesson 5: Enhancing Data Analysis
- Customize Visuals and Pages
- Incorporate Tooltips
Lesson 6: Modeling Data with Calculations
- Create Calculations with Data Analysis Expressions (DAX)
- Create Calculated Measures and Conditional Columns
Lesson 7: Creating Interactive Visualizations
- Create and Manage Data Hierarchies
- Filter and Slice Reports
- Create Dashboards
Prerequisites
Prior Course Recommendation:
- Microsoft Excel for Office 365/2019: Part 1
- Microsoft Excel for Office 365/2019: Part 2
- Microsoft Excel for Office 365/2019: Part 3
- Microsoft Access for Office 2019/2021: Part 1