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Want to be a Data Analyst? Then Know these 10 Excel Functions

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This article gathers 10 excel functions that empower the data analyst jobs

This article compiles 10 Excel functions for anyone conducting data analysis using the program, making data analyst jobs easier and more pleasant. Excel is a convenient and user-friendly tool for performing analysis and presenting data to stakeholders. Microsoft Excel is particularly beneficial for analysis and reports that need to be shared with different departments in your firm since it is widely used in the business world and the interface is familiar to many people who do not have a data background.

  1. IF, Nested Ifs, and IFS: The IF functions are part of the logic set of functions and are essential for any Excel user to understand. Begin by learning about the IF function and nested IFs. Check out the newest IFS function if you have Excel 2019 or later, or Microsoft 365.

  2. IF (AND and IF (OR: When nested in the IF function, the AND and OR functions expand the number and type of logical tests you can provide. Plenty of individuals struggle with them, but once you conquer them, you will never look back.

  3. SUMIFS: The SUMIFS function is part of the ‘IFS’ family of functions, which allows you to aggregate data that meets certain criteria. Once you’ve mastered one of these functions, the rest are simple to learn because they all utilize the same syntax.

  4. XLOOKUP (or VLOOKUP): The XLOOKUP feature, which is accessible in Excel 2021 and Microsoft 365, is an enhanced version of the much-loved (and sometimes-despised) VLOOKUP tool. XLOOKUP circumvents VLOOKUP’s constraints and eliminates the possibility of unskilled users unwittingly introducing formula mistakes into their work.

  5. INDEX & MATCH: Many users are afraid of INDEX and MATCH formulae, yet they get beyond VLOOKUP’s constraints. If your version of Excel does not include the XLOOKUP function, I recommend learning INDEX & MATCH.

  6. FILTER: In Excel 2021 and Microsoft 365, the FILTER feature is new. It’s one of the most crucial Excel functions. FILTER allows you to extract rows from a data table depending on the criteria you set. Not only that, but you may remove any or all of the columns, or even the columns in a different order.

  7. IFERROR: The IFERROR function is essential for all report builders since it automatically covers formula mistakes, giving a clean finish.

  8. EOMONTH and EDATE: The final day of the month n months before or after the supplied date is returned by EOMONTH. With a simple technique, it may even return at the beginning of the month. EDATE provides the month’s identical date n months before or after the supplied date.

  9. NETWORKDAYS.INTL: As a data analyst, you’ll be dealing with dates all the time. The NETWORKDAYS.INTL procedure returns the total amount of working days, excluding weekends and holidays, between two dates.

  10. GETPIVOTDATA: The GETPIVOTDATA function is frequently misunderstood and unfairly criticized, yet it is the hidden weapon of PivotTable users who wish to build a custom-styled report without the bulk of a PivotTable and is extremely resilient.


Data analyst

This article gathers 10 excel functions that empower the data analyst jobs

This article compiles 10 Excel functions for anyone conducting data analysis using the program, making data analyst jobs easier and more pleasant. Excel is a convenient and user-friendly tool for performing analysis and presenting data to stakeholders. Microsoft Excel is particularly beneficial for analysis and reports that need to be shared with different departments in your firm since it is widely used in the business world and the interface is familiar to many people who do not have a data background.

  1. IF, Nested Ifs, and IFS: The IF functions are part of the logic set of functions and are essential for any Excel user to understand. Begin by learning about the IF function and nested IFs. Check out the newest IFS function if you have Excel 2019 or later, or Microsoft 365.

  2. IF (AND and IF (OR: When nested in the IF function, the AND and OR functions expand the number and type of logical tests you can provide. Plenty of individuals struggle with them, but once you conquer them, you will never look back.

  3. SUMIFS: The SUMIFS function is part of the ‘IFS’ family of functions, which allows you to aggregate data that meets certain criteria. Once you’ve mastered one of these functions, the rest are simple to learn because they all utilize the same syntax.

  4. XLOOKUP (or VLOOKUP): The XLOOKUP feature, which is accessible in Excel 2021 and Microsoft 365, is an enhanced version of the much-loved (and sometimes-despised) VLOOKUP tool. XLOOKUP circumvents VLOOKUP’s constraints and eliminates the possibility of unskilled users unwittingly introducing formula mistakes into their work.

  5. INDEX & MATCH: Many users are afraid of INDEX and MATCH formulae, yet they get beyond VLOOKUP’s constraints. If your version of Excel does not include the XLOOKUP function, I recommend learning INDEX & MATCH.

  6. FILTER: In Excel 2021 and Microsoft 365, the FILTER feature is new. It’s one of the most crucial Excel functions. FILTER allows you to extract rows from a data table depending on the criteria you set. Not only that, but you may remove any or all of the columns, or even the columns in a different order.

  7. IFERROR: The IFERROR function is essential for all report builders since it automatically covers formula mistakes, giving a clean finish.

  8. EOMONTH and EDATE: The final day of the month n months before or after the supplied date is returned by EOMONTH. With a simple technique, it may even return at the beginning of the month. EDATE provides the month’s identical date n months before or after the supplied date.

  9. NETWORKDAYS.INTL: As a data analyst, you’ll be dealing with dates all the time. The NETWORKDAYS.INTL procedure returns the total amount of working days, excluding weekends and holidays, between two dates.

  10. GETPIVOTDATA: The GETPIVOTDATA function is frequently misunderstood and unfairly criticized, yet it is the hidden weapon of PivotTable users who wish to build a custom-styled report without the bulk of a PivotTable and is extremely resilient.

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