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MIM1021 Data Analytics & Visualization with Microsoft Excel (2 Days)

Description

MIM1021 Data Analytics & Visualization with Microsoft Excel (2 Days)

Overview

Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.

Microsoft® Excel® is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis, and create diverse visualizations to showcase insights and trends. These capabilities enable users of Excel for data analysis to turn data into thoughtful action.

  • 95% positive reviews (67)
  • 312 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

At the end of the training, participants would be able to:

  • Perform data analysis fundamentals.
  • Visualize data with Excel.
  • Analyze data with formulas and functions.
  • Analyze data with PivotTables.
  • Present visual insights with dashboards in Excel.
  • Create geospatial visualizations with Excel.
  • Perform statistical analysis.
  • Get and transform data.
  • Model and analyze data with Power Pivot.
  • Present insights with reports.

2 Days

  • L&D Managers
  • Training Managers
  • L&D Specialist

Modules:

1 - DATA ANALYSIS FUNDAMENTALS
  • Introduction to Data Science 
  • Create and Modify Tables 
  • Sort and Filter Data 
  • Visualize Data with Charts 
  • Modify and Format Charts 
  • Apply Best Practices in Chart Design 
  • Analyze Data with Formulas and Named Ranges 
  • Analyze Data with Functions 
  • Implement Data Validation, Forms, and Controls 
  • Create Conditional Visualizations with Lookup Functions
  • Create a PivotTable 
  • Analyze PivotTable Data 
  • Visualize Data with PivotCharts 
  • Filter Data Using Slicers and Timelines 
  • Create a Dashboard in Excel 
  • Create Map Charts in Excel 
  • Customize Map Charts in Excel 
  • Visualize Trendlines and Sparklines with Excel 
  • Analyze Data with the Data Analysis Tool.
  • Connect to Data with Queries 
  • Clean and Combine Data 
  • Shape and Transform Data 
  • Install Power Pivot in Excel 
  • Create Data Models with Power Pivot 
  • Create Power Pivots 
  • Perform Advanced Data Analysis and Visualization 

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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