This is done to draw conclusions and make judgments. Data Analytics is a powerful tool for analyzing business growth and making better decisions based on historical data and future forecasts. Excel is one of the most important tools for data analytics because it can convert large structured and unstructured data into simple data for analysis. So, this is a Data Analytics in Excel tutorial.

 

Excel’s Data Analytics Functions

 

Vlookup()

 

The first Excel function to learn is VLOOKUP(). Vlookup() formulae are used to compare two excel sheets based on common values or columns. This is why this function is also known as Reference function or look-up function. The syntax of the formulae is very easy and it is (value, table, index number, [approximate match]) (value, table, index number, [approximate match]).

 

Here value is the value you want to search in the first sheet or in the first column.

 

A table has two or more columns that must be sorted.

 

Indices are used to find values in columns.

 

Find the approximate match. True gives an estimated value, while False gives an exact value. If you don’t write any of these, it defaults to True and returns an approximation.

 

This function can return string, numbers, dates, Words, etc.

 

CONCATENATE

 

The second Excel Data Analytics function to master is Concatenate. Since we cannot always have structured data in our excel, we can either split the data or content of one cell into individual cells or combine the individual cells. This is where the Concatenate function in Excel is used to structure data by merging or concatenating cells.

 

You can physically combine two or more cells to make a large cell.

 

Excel can also concatenate cells. You can only join two or more values to merge the data or content of the cells.

 

Concatenate Formula =concatenate ( Cells you want to merge).

 

LEN

 

The third Excel function to master for data analytics is LEN. This function returns the length of a specified string; it is also known as a String or text function. It is also a built-in Excel function used by data analysts.

 

It has two uses –

 

Firstly, as a Worksheet. In the cell, it will be entered as part of a worksheet formula

 

In the Macro code, you will use the LEN function.

 

The LEN function’s syntax is LEN (text). The text is the string to return.

 

It is usually used by data analysts in Excel to detect the difference between two UIDs that are long and out of order.

 

COUNTA

 

COUNTA is the next Excel Data Analytics tool. =COUNTA (required cell).

 

It is used to count cells that include information such as incorrect values. But not empty cells.

 

Use the COUNTA function to count just numeric cells. You can use the COUNTIF function to count cells with logical values or different criteria.

 

SUMIFS

 

The next function to learn for Data Analytics in Excel is SUMIFS. If you want to sum cells with numbers, use =SUM(Range, Criteria), otherwise use SUMIFS(Range, Criteria).

 

FIND PURP

 

The Find or Search feature in Excel is the next to learn. This function allows you to search the entire database or sheet. Its syntax is equally simple =Find.

 

AVERAGEIFS

 

The last Excel function to learn is AVERAGEIFS. It computes the average of numbers in several cells. For partial matching, you can use logical operators (>,>,=) and wildcards (*,?) Easy steps to get the average of numerous cells meeting multiple conditions.

 

(average rng range,criteria1)

 

Conclusion

 

Data analytics has evolved as a critical decision-making stream in business. All company decisions are based on future forecasts and historical facts analyzed by business intelligence. Excel is a popular data analytics tool. Many more functions than we know. This post will walk you through the important functions for Data Analytics in Excel. Get the greatest excel projects online from our specialists.