Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3)

Retail Price: $790

2 Days

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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. This course may earn a Credly Badge.  

Learning Objectives

In this course, you will analyze data with Microsoft Power BI. You will:
  • Analyze data with self-service BI.
  • Connect to data sources.
  • Perform data cleaning, profiling, and shaping.
  • Visualize data with Power BI.
  • Enhance data analysis by adding and customizing visual elements.
  • Model data with calculations.
  • Create interactive visualizations.

Course Details

Course Outline

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
2 - Connecting to Data Sources
  • Topic A: Create Data Connections
  • Topic B: Configure and Manage Data Relationships
  • Topic C: Save Files in Power BI
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
4 - Visualizing Data with Power BI
  • Topic A: Create Visualizations in Power BI
  • Topic B: Chart Data in Power BI
5 - Enhancing Data Analysis
  • Topic A: Customize Visuals and Pages
  • Topic B: Incorporate Tooltips
6 - Modeling Data with Calculations
  • Topic A: Create Calculations with Data Analysis Expressions (DAX)
  • Topic B: Create Calculated Measures and Conditional Columns
7 - Creating Interactive Visualizations
  • Topic A: Create and Manage Data Hierarchies
  • Topic B: Filter and Slice Reports
  • Topic C: Create Dashboards

Actual course outline may vary depending on offering center. Contact your sales representative for more information.