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Data Analysis Functions and Techniques in Microsoft Excel

Excel’s data analysis functions are non-negotiable for anyone handling datasets—yet most professionals use only a fraction of what’s available. This focused course cuts through the noise, teaching you the functions and techniques that actually move the needle on real business problems in under 50 minutes.

AIU.ac Verdict: Ideal for analysts, business intelligence professionals, and anyone needing to extract insights from spreadsheets without wasting time on theory. The tight runtime is a strength for busy professionals, though you’ll need basic Excel familiarity to keep pace.

What This Course Covers

You’ll work through Excel’s core data analysis functions—SUMIF, AVERAGEIF, INDEX-MATCH, pivot table mechanics, and conditional logic—with emphasis on practical application rather than syntax memorisation. Each function is contextualised within real-world scenarios: filtering large datasets, calculating conditional aggregates, and building dynamic reports that actually scale.

The course prioritises hands-on labs where you’ll apply these techniques to genuine business datasets. Janani Ravi structures the content to show you not just how to write a formula, but when to choose one function over another and how to combine them for complex analysis. By the end, you’ll have a mental model for approaching unfamiliar data problems independently.

Who Is This Course For?

Ideal for:

  • Business analysts and data professionals: Need to move beyond basic spreadsheet skills and automate routine analysis tasks
  • Finance and operations teams: Regularly build reports and dashboards; Excel is your primary tool
  • Career-switchers into data roles: Want to demonstrate Excel competency quickly without committing to lengthy programmes

May not suit:

  • Complete Excel beginners: Assumes comfort with basic navigation, cell references, and simple formulas
  • Advanced data scientists: Those needing statistical modelling or machine learning should look elsewhere

Frequently Asked Questions

How long does Data Analysis Functions and Techniques in Microsoft Excel take?

The course runs 49 minutes, designed for busy professionals. You can complete it in a single sitting or break it into focused sessions.

What version of Excel does this course cover?

The techniques taught are applicable across Excel versions (2016, 2019, Microsoft 365). Janani Ravi focuses on functions and logic rather than version-specific features.

Do I need prior Excel experience?

Yes—basic familiarity with spreadsheets, cell references, and simple formulas is assumed. If you’re brand new to Excel, start with foundational courses first.

Can I access hands-on labs?

Yes. Pluralsight includes interactive labs and sandboxes where you practise each technique on real datasets, not just watch demonstrations.

Course by Janani Ravi on Pluralsight. Duration: 0h 49m. Last verified by AIU.ac: March 2026.

Data Analysis Functions and Techniques in Microsoft Excel
Data Analysis Functions and Techniques in Microsoft Excel
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