Excel is one of the most popular and powerful spreadsheet programs available, and data analysts use it on a daily basis to analyse, visualise and interpret data. While there are many features and tools available in Excel, there are some essential formulas that every data analyst should know how to use.

1. SUM: This formula adds up the values in a range of cells and returns the sum. It is the most basic function in Excel and one of the most commonly used.
2. AVERAGE: This formula calculates the average value of a range of cells. This is useful for analysing data such as sales figures or customer ratings.
3. COUNTIF: This formula counts the number of cells in a range that meet a certain criterion. For example, if you wanted to count the number of customer ratings that are greater than 4, you would use this formula.
4. COUNTBLANK: This formula counts the number of blank cells in a range. This is useful for determining how much data is missing from your dataset.
5. VLOOKUP: This formula searches for a value in a table or range. It is useful for looking up data in a large database.
6. MATCH: This formula finds the position of a value in a range or array. It is useful for looking up data in large datasets.
7. INDEX: This formula returns the value of a cell in a range or array. It is useful for quickly looking up data without having to use a VLOOKUP formula.
8. IF: This formula performs a logical test and returns one value if the test is TRUE and a different value if the test is FALSE. It is useful for creating conditional statements.
9. SUBTOTAL: This formula returns the sum, average, count, etc. of a range of cells. It is useful when working with large datasets.
10. CONCATENATE: This formula combines text from two or more cells into a single cell. It is useful for merging text strings together.



These 10 formulas are essential for data analysts, and mastering them will make life much easier when dealing with large datasets. With a little practice, you will be able to use them with ease and get the most out of your data.

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