Power BI: Data Analysis Professional
(PWR-BI.AD1) / ISBN : 978-1-64459-260-1
About This Course
Use Power BI: Data Analysis Professional course and lab to explore and visualize data with Power BI. The lab is cloud-based, device-enabled, and can easily be integrated with an LMS. The Power BI course provides knowledge and skills required to analyze data with self-service BI, connect to data sources, perform advanced data modeling and shaping, perform advanced analysis, publish and share reports and dashboards, extend access to Power BI, and more.
Skills You’ll Get
Get the support you need. Enroll in our Instructor-Led Course.
Interactive Lessons
12+ Interactive Lessons | 89+ Quizzes | 100+ Flashcards | 100+ Glossary of terms
Gamified TestPrep
50+ Pre Assessment Questions | 50+ Post Assessment Questions |
Hands-On Labs
26+ LiveLab | 26+ Video tutorials | 02:02+ Hours
Introduction
- Course Description
- How to Use This course
- Course-Specific Technical Requirements
Analyzing Data with Self-Service BI
- Topic A: Data Analysis and Visualization for Business Intelligence
- Topic B: Self-Service BI with Microsoft Power BI
- Summary
Connecting to Data Sources
- Topic A: Create Data Connections
- Topic B: Configure and Manage Data Relationships
- Topic C: Save Files in Power BI
- Summary
Performing Data Cleaning, Profiling, and Shaping
- Topic A: Clean, Transform, and Load Data with the Query Editor
- Topic B: Profile Data with the Query Editor
- Topic C: Shape Data with the Query Editor
- Topic D: Combine and Manage Data Rows
- Summary
Visualizing Data with Power BI
- Topic A: Create Visualizations in Power BI
- Topic B: Chart Data in Power BI
- Summary
Enhancing Data Analysis
- Topic A: Customize Visuals and Pages
- Topic B: Incorporate Tooltips
- Summary
Modeling Data with Calculations
- Topic A: Create Calculations with Data Analysis Expressions (DAX)
- Topic B: Create Calculated Measures and Conditional Columns
- Summary
Creating Interactive Visualizations
- Topic A: Create and Manage Data Hierarchies
- Topic B: Filter and Slice Reports
- Topic C: Create Dashboards
- Summary
Using Advanced Analysis Techniques
- Topic A: Create Calculated Tables, Variables, and Parameters
- Topic B: Enhance Visuals with Statistical Analysis
- Topic C: Perform Advanced Analysis
- Summary
Enhancing Reports and Dashboards
- Topic A: Enhance Reports
- Topic B: Enhance Dashboards
- Summary
Publishing and Sharing Reports and Dashboards
- Topic A: Publish Reports
- Topic B: Create and Manage Workspaces
- Topic C: Share Reports and Dashboards
- Summary
Extending Power BI Beyond the Desktop
- Topic A: Use Power BI Mobile
- Topic B: Extend Access with the Power BI API
- Summary
Analyzing Data with Self-Service BI
- Interacting with Visualizations in Power BI
Connecting to Data Sources
- Creating a Data Connection
- Configuring and Managing Data Relationships
- Saving and Exporting Files in Power BI
Performing Data Cleaning, Profiling, and Shaping
- Cleaning, Transforming, and Loading Connected Data
- Profiling Data in Power BI
- Shaping Data for Analysis
- Using the Transpose Feature
Visualizing Data with Power BI
- Creating Visualizations
- Charting Data in Power BI
Enhancing Data Analysis
- Customizing Visuals in Power BI
- Incorporating Tooltips to Enhance Data Analysis
Modeling Data with Calculations
- Creating Calculations with DAX
- Creating Calculated Measures
- Creating Conditional Columns
Creating Interactive Visualizations
- Creating and Managing Data Hierarchies
- Filtering and Slicing Reports
Using Advanced Analysis Techniques
- Creating a Calculated Table
- Enhancing Visuals with Statistical Analysis
- Performing Advanced Analysis
Enhancing Reports and Dashboards
- Enhancing Reports
- Enhancing Dashboards
Publishing and Sharing Reports and Dashboards
- Publishing Reports and Refreshing Data
- Configuring Row-level Security
Extending Power BI Beyond the Desktop
- Configuring the Mobile Layout
- Reviewing Custom Visuals and Apps