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Microsoft Power BI for Data-Driven Decision Makers Course Overview

Microsoft Power BI for Data-Driven Decision Makers Course Overview

### Microsoft Power BI for Data-Driven Decision Makers

Course Length: 1 day (8 hours)

Overview:
Unlock the potential of data analysis and visualization with our Microsoft Power BI course designed for Data-Driven Decision Makers. This intensive one-day course teaches key skills for exploring and customising Power BI reports. You'll discover how to analyse data to obtain answers and insights, sort and group data, and create compelling, custom reports.

Learning objectives include:
- Exploring Power BI reports
- Analyzing data for insights
- Sorting and grouping data
- Filtering visualizations
- Preparing and annotating reports
- Troubleshooting and collaboration in Power BI

Ideal for professionals with experience in Microsoft Excel or Google Sheets, this course will empower you to make informed decisions and share new insights effectively.

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Target Audience for Microsoft Power BI for Data-Driven Decision Makers

Microsoft Power BI for Data-Driven Decision Makers is a 1-day course tailored for professionals aiming to explore, analyze, and customize data reports and visualizations to uncover new business insights.


  • Business Executives
  • Managers
  • Team Leaders
  • Business Analysts
  • Project Managers
  • Financial Analysts
  • Marketing Managers
  • Operations Managers
  • Data Enthusiasts
  • Department Heads
  • Strategy Planners
  • Consultants


Learning Objectives - What you will Learn in this Microsoft Power BI for Data-Driven Decision Makers?

Introduction

The Microsoft Power BI for Data-Driven Decision Makers course equips professionals with the skills to explore, analyze, and customize Power BI reports and visualizations, enabling informed decision-making and effective data communication within their organizations.

Learning Objectives and Outcomes

  • Explore Power BI reports:

    • Understand the data analysis workflow within Power BI.
    • Navigate and edit reports in the Power BI service.

  • Analyze data to get answers and insights:

    • Configure and customize data visualizations.
    • Perform calculations and summarizations to derive insights.

  • Sort and group data for analysis and reporting:

    • Sort data efficiently.
    • Group data systematically for better analysis.

  • Filter visualizations:

    • Apply filters to refine the data analysis.
    • Create and manage slicers for dynamic reports.

  • Prepare reports:

    • Format, annotate, and emphasize key data points in reports.

  • Troubleshoot, share, and collaborate:

    • Troubleshoot common data issues.
    • Collaborate using Power BI.
    • Share insights with non-Power BI users effectively.

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