Course Description

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages.

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

Topic A: Data Analysis and Visualization for Business Intelligence

Topic B: Self-Service BI with Microsoft Power BI

Lesson 2: Connecting to Data Sources

Topic A: Create Data Connections

Topic B: Configure and Manage Data Relationships

Topic C: Save Files in Power BI

Lesson 3: 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

Lesson 4: Visualizing Data with Power BI

Topic A: Create Visualizations in Power BI

Topic B: Chart Data in Power BI

Lesson 5: Enhancing Data Analysis

Topic A: Customize Visuals and Pages

Topic B: Incorporate Tooltips

Lesson 6: Modeling Data with Calculations

Topic A: Create Calculations with Data Analysis Expressions (DAX)

Topic B: Create Calculated Measures and Conditional Columns

Lesson 7: Creating Interactive Visualizations

Topic A: Create and Manage Data Hierarchies

Topic B: Filter and Slice Reports

Topic C: Create Dashboards

Lesson 8: Using Advanced Analysis Techniques

Topic A: Create Calculated Tables, Variables, and Parameters

Topic B: Enhance Visuals with Statistical Analysis

Topic C: Perform Advanced Analysis

Lesson 9: Enhancing Reports and Dashboards

Topic A: Enhance Reports

Topic B: Enhance Dashboards

Lesson 10: Publishing and Sharing Reports and Dashboards

Topic A: Publish Reports

Topic B: Create and Manage Workspaces

Topic C: Share Reports and Dashboards

Lesson 11: Extending Power BI Beyond the Desktop

Topic A: Use Power BI Mobile

Topic B: Extend Access with the Power BI API

Learner Outcomes

  • Analyze data with self-service BI.
  • Connect to data sources.
  • Perform advanced data modeling and shaping.
  • Visualize data with Power BI.
  • Enhance data analysis.
  • Model data with calculations.
  • Create interactive visualizations.
  • Perform advanced analysis.
  • Publish and share reports and dashboards.
  • Extend access to Power BI.


To ensure your success in this course you should have experience managing data with a spreadsheet program such as Microsoft Excel. Understanding of relational databases is recommended but not required.


3 Days | 6 Nights

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