[PDF] advanced excel topics for data analysis

10 Essential Excel Features For Data Analysts (and How to Use Them)
  • Pivot tables and pivot charts.
  • Conditional formatting.
  • Remove duplicates.
  • XLOOKUP.
  • IFERROR.
  • MATCH.
  • COUNTBLANK.
  • DAYS and NETWORKDAYS.
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  • What topics should I learn in Excel for data analysis?

    Data analysis with Microsoft Excel
    It can be analyzed with the relevant Excel commands, statistical functions, and tools – Sort, Filter, Ranges, Tables, Conditional Formatting, Date functions, Time functions, Subtotals, Quick Analysis, What-if Analysis, Solvers, Pivot Tables, Charts, and Analysis ToolPak, etc.28 oct. 2021

  • What Excel skills are required for data analyst?

    What you'll learn

    Use Excel tools and functions to clean and prepare data for analysis.Use Named Ranges and Tables to automate your analysis.Understand the different types of data in Excel and use appropriate functions to work with them.Use logical and lookup functions to transform, link and categorise data.

  • Is advance Excel required for data analyst?

    Data Analysts extensively use Excel for a variety of tasks such as analyzing large datasets, formatting data, and creating sparklines. Excel's core applications include features like VLOOKUP, PivotTables, and FIND/SEARCH.
  • The formulas are: iferror, concatenate, string functions (left, mid, right), filter, edit, sumifs, xlookup, large/small, sequence, and indexmatch. The types of formulas covered include data cleaning functions, date & time functions, lookup functions, and sum functions.
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