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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" has exploded due to the rise 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 advantage.

The creation of data-backed visualizations is a key way data scientists, or any professional, can 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 allows 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, allowing 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

 Topic A: Create Data Connections

 Topic B: Model Data with Relationships

 Topic C: Save Power BI Files

Lesson 3: Performing Advanced Data Modeling and Shaping

 Topic A: Clean and Transform Data with the Query Editor

 Topic B: Shape Data with the Query Editor

 Topic C: 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: Enhance Analysis with Customized Visuals and Pages

 Topic B: Enhance Analysis with 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 in Power BI

Lesson 8: Performing Advanced Analysis

 Topic A: Create Calculated Tables, Variables, and Parameters

 Topic B: Enhance Visuals with Statistical Analysis

 Topic C: Review Analysis Services Connection Options

Lesson 9: Publishing and Sharing Reports and Dashboards

 Topic A: Publish Reports

 Topic B: Share Reports and Dashboards

Lesson 10: Extending Access to Power BI

 Topic A: Access Reports Using 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.

Prerequisites

To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. 

Duration

3 Days | 6 Nights
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