Top 10 Excel Functions You NEED to Know in 2026
In the ever-evolving landscape of data analysis, mastering Excel remains a crucial skill. While the core principles of spreadsheet software endure, the specific functions that provide the most value continue to shift. This guide highlights the top 10 Excel functions you should prioritize learning to stay competitive in 2026. These functions are selected for their power, versatility, and ability to handle complex data manipulation and analysis tasks effectively.
These functions have been chosen because they:
XLOOKUP is the modern successor to VLOOKUP and HLOOKUP. It's more flexible, powerful, and easier to use. It can search both vertically and horizontally, handles errors gracefully, and doesn't require you to know the column index number.
Key Benefits:
Example:
=XLOOKUP(lookup_value, lookup_array, return_array, [if_not_found], [match_mode], [search_mode])
Example: =XLOOKUP("Apple", A1:A10, C1:C10, "Not Found") This will find "Apple" in the range A1:A10 and return the corresponding value from C1:C10. If "Apple" isn't found, it will return "Not Found".
While XLOOKUP is often preferred, understanding INDEX and MATCH is still valuable, especially when working with older Excel versions or when needing maximum flexibility. INDEX returns a value from a range based on its row and column number, while MATCH returns the position of a value within a range.
Key Benefits:
Example:
=INDEX(return_array, MATCH(lookup_value, lookup_array, match_type))
Example: =INDEX(C1:C10, MATCH("Apple", A1:A10, 0)) This finds "Apple" in A1:A10 and returns the corresponding value from C1:C10.
Excel's TEXT functions are becoming increasingly important for data cleaning and manipulation. Functions like TEXTJOIN allow you to combine text strings with delimiters, while TEXTSPLIT enables you to split a single string into multiple cells based on a delimiter. TEXTBEFORE and TEXTAFTER enable you to extract portions of text. These functions are particularly useful when dealing with data imported from external sources.
Key Benefits:
Examples:
=TEXTJOIN(delimiter, ignore_empty, text1, [text2], ...)=TEXTSPLIT(text, col_delimiter, [row_delimiter], [ignore_empty], [match_mode], [pad_with])=TEXTBEFORE(text, delimiter, [instance_num], [match_mode], [match_end], [if_not_found])=TEXTAFTER(text, delimiter, [instance_num], [match_mode], [match_end], [if_not_found])
Examples: =TEXTJOIN(", ", TRUE, "Apple", "Banana", "Cherry") returns "Apple, Banana, Cherry". =TEXTSPLIT("Apple,Banana,Cherry", ",") splits the text into three cells. =TEXTBEFORE("[email protected]", "@") returns "john.doe".
SUMIFS allows you to sum values based on multiple criteria. It's a powerful alternative to using multiple SUMIF functions or creating complex array formulas.
Key Benefits:
Example:
=SUMIFS(sum_range, criteria_range1, criteria1, [criteria_range2, criteria2], ...)
Example: =SUMIFS(C1:C10, A1:A10, "Apple", B1:B10, ">10") This sums the values in C1:C10 where the corresponding value in A1:A10 is "Apple" and the value in B1:B10 is greater than 10.
Similar to SUMIFS, AVERAGEIFS calculates the average of values based on multiple criteria.
Key Benefits:
Example:
=AVERAGEIFS(average_range, criteria_range1, criteria1, [criteria_range2, criteria2], ...)
Example: =AVERAGEIFS(C1:C10, A1:A10, "Apple", B1:B10, ">10") This averages the values in C1:C10 where the corresponding value in A1:A10 is "Apple" and the value in B1:B10 is greater than 10.
The FILTER function allows you to extract a subset of data from a range based on one or more criteria. It's incredibly useful for creating dynamic reports and dashboards.
Key Benefits:
Example:
=FILTER(array, include, [if_empty])
Example: =FILTER(A1:C10, B1:B10 > 50, "No Results") This returns the rows from A1:C10 where the corresponding value in B1:B10 is greater than 50. If no rows meet the criteria, it returns "No Results".
The LET function assigns names to calculation results. This allows you to store intermediate calculations within a formula, making it more readable and efficient, especially when the same calculation is used multiple times.
Key Benefits:
Example:
=LET(name1, value1, name2, value2, ..., calculation)
Example: =LET(x, 5, y, 10, x*y) This calculates 5 * 10 and returns 50. More practically, it can be used with more complex formulas to avoid redundant calculations.
SEQUENCE generates a series of numbers. This is extremely helpful for creating dynamic arrays, generating dates, or creating number sequences for various analyses and reports.
Key Benefits:
Example:
=SEQUENCE(rows, [columns], [start], [step])
Example: =SEQUENCE(10) This generates a vertical array of numbers from 1 to 10. =SEQUENCE(4,5,10,5) Generates a 4x5 array, starting with 10, incrementing by 5.
While error handling is hopefully improving in the future, the IFERROR function remains crucial for gracefully handling errors in your formulas. It allows you to specify an alternative value to return if a formula results in an error.
Key Benefits:
Example:
=IFERROR(value, value_if_error)
Example: =IFERROR(A1/B1, 0) This divides A1 by B1. If B1 is zero, it returns 0 instead of the #DIV/0! error.
These functions enable you to extract specific columns or rows from an array. This is particularly useful for reshaping and reorganizing data for analysis and reporting.
Key Benefits:
Examples:
=CHOOSECOLS(array, col_num1, [col_num2], ...)=CHOOSEROWS(array, row_num1, [row_num2], ...)
Examples: =CHOOSECOLS(A1:E10, 1, 3, 5) This returns columns 1, 3, and 5 from the range A1:E10. =CHOOSEROWS(A1:E10, 2, 4, 6) This returns rows 2, 4, and 6 from the range A1:E10.
Mastering these 10 Excel functions will significantly enhance your data analysis skills and make you a more valuable asset in any data-driven role. Stay ahead of the curve by continuously learning and adapting to the evolving capabilities of Excel. Practice using these functions in real-world scenarios to solidify your understanding and unlock their full potential.