Microsoft Power BI: Data Analysis Professional

Unlock the potential of your data with Microsoft Power BI: Data Analysis Professional, a course designed for data analysts and professionals looking to master interactive visualizations and gain actionable insights using sophisticated data connection capabilities.

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Essential Skills Gained

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Analyze data effectively using self-service BI tools.

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Visualize insights and trends with Power BI visualizations.

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Perform advanced data shaping and modeling.

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Publish and share compelling reports and dashboards.

Format

  • Instructor-led
  • 3 days with lectures and hands-on labs.

Audience

  • Data Analysts
  • Business Intelligence Professionals
  • Excel Power Users
  • Decision Makers and Executives

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.

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Upcoming Course Dates

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Course Outline

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Lesson 1: Analyzing Data with Self-Service BI

  1. Data Analysis and Visualization for Business Intelligence

  2. Self-Service BI with Microsoft Power BI

Lesson 2: Connecting to Data Sources

  1. Create Data Connections

  2. Configure and Manage Data Relationships

  3. Save Files in Power BI

Lesson 3: Performing Data Cleaning, Profiling, and Shaping

  1. Clean, Transform, and Load Data with the Query Editor

  2. Profile Data with the Query Editor

  3. Shape Data with the Query Editor

  4. Combine and Manage Data Rows

Lesson 4: Visualizing Data with Power BI

  1. Create Visualizations in Power BI

  2. Chart Data in Power BI

Lesson 5: Enhancing Data Analysis

  1. Customize Visuals and Pages

  2. Incorporate Tooltips

Lesson 6: Modeling Data with Calculations

  1. Create Calculations with Data Analysis Expressions (DAX)

  2. Create Calculated Measures and Conditional Columns

Lesson 7: Creating Interactive Visualizations

  1. Create and Manage Data Hierarchies

  2. Filter and Slice Reports

  3. Create Dashboards

Lesson 8: Using Advanced Analysis Techniques

  1. Create Calculated Tables, Variables, and Parameters

  2. Enhance Visuals with Statistical Analysis

  3. Perform Advanced Analysis

Lesson 9: Enhancing Reports and Dashboards

  1. Enhance Reports

  2. Enhance Dashboards

Lesson 10: Publishing and Sharing Reports and Dashboards

  1. Publish Reports

  2. Create and Manage Workspaces

  3. Share Reports and Dashboards

Lesson 11: Extending Power BI Beyond the Desktop

  1. Use Power BI Mobile

  2. Extend Access with the Power BI API

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