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Data Analysis Functions and Techniques in Microsoft Excel

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Janani Ravi

49:43

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  • 1. Microsoft Excel Data Analysis Functions Techniques.mp4
    00:37
  • 2. Demo - The IF and IFS Logical Functions.mp4
    04:03
  • 3. Demo - The SUMIF and COUNTIF Functions.mp4
    02:59
  • 4. Demo - The Logical AND and OR Functions.mp4
    02:48
  • 01. Demo - VLOOKUP in a Single Sheet.mp4
    02:23
  • 02. Demo - VLOOKUP with Multiple Sheets and Named Ranges.mp4
    03:23
  • 03. Demo - HLOOKUP for Row-wise Lookups.mp4
    01:47
  • 04. Demo - Limitations of VLOOKUP.mp4
    02:44
  • 05. Demo - Lookup Cells with INDEX.mp4
    01:50
  • 06. Demo - Dynamic Lookup with INDEX and MATCH.mp4
    02:04
  • 07. Demo - Multicriteria INDEX and MATCH.mp4
    02:23
  • 08. Demo - Performing Lookups and Handling Errors with XLOOKUP.mp4
    02:31
  • 09. Demo - Partial Matches and Row-wise Lookups with XLOOKUP.mp4
    02:22
  • 10. Demo - Dynamic Multicriteria Lookups with Nested XLOOKUP.mp4
    02:04
  • 1. Demo - Goal Seek for Break Even Analysis.mp4
    03:04
  • 2. Demo - Using the Scenario Manager for What-if Analysis.mp4
    04:20
  • 3. Demo - Sensitivity Analysis with Data Table.mp4
    02:57
  • 1. Demo - Line and Column Sparklines.mp4
    03:51
  • 2. Demo - WinLoss Sparklines.mp4
    01:33
  • Description


    This course will enable you to implement logical functions, lookup and reference functions, what-if analyses, and visualization with sparklines, using datasets to evaluate sales, credit eligibility, employee data, and investment scenarios.

    What You'll Learn?


      Excel data analysis skills will help you make informed business decisions.

      In this course, Data Analysis Functions and Techniques in Microsoft Excel, you’ll gain the ability to analyze and interpret complex datasets.

      First, you’ll explore how to use logical functions like IF, IFS, SUMIF, and NESTED IFS to categorize sales and profit levels, classify products, and evaluate credit eligibility criteria for customers.

      Next, you’ll discover how to implement lookup and reference functions such as VLOOKUP, XLOOKUP, INDEX, and MATCH to efficiently find and reference data across single and multiple sheets, with a focus on employee-related data.

      Finally, you’ll learn how to perform what-if analysis using Goal Seek, Scenario Manager, and data table functions to assess the impact of various business scenarios, as well as how to visualize data trends and comparisons using sparklines charts.

      When you’re finished with this course, you’ll have the skills and knowledge of Excel data analysis needed to confidently analyze, interpret, and visualize data, driving better decision-making in your organization.

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    Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing high-quality content for technical skill development. Loonycorn is working on developing an engine (patent filed) to automate animations for presentations and educational content.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 19
    • duration 49:43
    • level average
    • English subtitles has
    • Release Date 2024/11/21