Excel - Data Analytics

Level - Advanced
This course outlines analytic tools of Microsoft Excel which can be very useful for business planning and modelling.

New program!

1 Day

Time (AWST)


Descriptive, predictive and prescriptive analytics are interrelated, helping companies make the most out of their data. Excel is a tool that can be used for analysis; to collect, clean, transform and analyse data and generate reports.


  • Understand the different types of analytics techniques
  • Use advanced sorting for descriptive analysis
  • Use advanced conditional formatting for descriptive analysis
  • Work with advanced analytic functions such as SUMPRODUCT and analytic database functions such as DSUM AND DAVERAGE
  • Learn how to use What-If Analysis tools: 
    • Goal Seek to calculate a single value needed to achieve a known outcome
    • Scenario Manager to switch between different calculations with different variables
    • Data Tables to view multiple results from one or two variables
    • Solver to calculate multiple values needed to achieve a known outcome.
  • Gain an understanding of the Excel Analysis ToolPak.

Learning Outcomes

Participants should be able to:

  • Understand which analytics tools are available in Excel
  • Use advanced sorting and advanced conditional formatting for descriptive analysis
  • Use selected analytics functions such as DSUM, DAVERAGE, DMAX and AGGREGATE
  • Understand the What-If Analysis Tools and their uses
  • Understand the set of statistical analysis tools available in the Excel Analysis Toolpak. 
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