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MIM1014 – Analyzing Data with Power BI Desktop (2 Days)

OVERVIEW

If you’re not already familiar with it, Power BI is a powerful business intelligence tool that enables you to create visually appealing and interactive reports and dashboards. With this tool, you can easily analyze your business data and gain insights that will help you make more informed decisions. The aim of this training program is to provide beginners with a comprehensive understanding of Power BI and its features.

At the end of the training program, participants will be able to:

  • Connect and import data from various sources into Power BI
  • Create and format basic visualizations such as charts, tables, and maps
  • Create interactive dashboards and reports
  • Apply data transformations using DAX formulas
  • Share and publish Power BI reports and dashboards
  • Typically spans 2 days (9am to 5pm).
  • Nonetheless, we can customize both the program’s duration and schedule to cater to unique client requirements (e.g., compact 1-day workshops or extended sessions beyond 3 days).
  • Data analysts and business intelligence professionals
  • Business professionals working with large datasets
  • IT professionals involved in data analysis and visualization
  • Individuals seeking to enhance their data analysis skills using Power BI Desktop

PROGRAM OUTLINE

  • Data analysis and visualization for business intelligence
  • Self-service BI with Microsoft Power BI
  • Create data connections
  • Configure and manage data relationships
  • Save files in Power BI
  • Clean, transform, and load data with Query Editor
  • Data shaping and profiling with Query Editor
  • Simplify data structure with Query Editor
  • Create calculations with Data Analysis Expressions (DAX)
  • Create calculated measures and conditional columns
  • Create visualizations in Power BI
  • Chart data in Power BI
  • Customize visuals and pages
  • Incorporate tooltips
  • Create and manage data hierarchies
  • Filter and slice reports
  • Create dashboards
  • Create calculated tables, variables, and parameters
  • Enhance visuals with statistical analysis
  • Perform advanced analysis
  • Enhance reports
  • Enhance dashboards
  • Publish reports
  • Create and manage workspaces
  • Share reports and dashboards

PROGRAM METHODOLOGY

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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