# (Excel examples for Beginners)

In this end-to-end excel example, you will learn – Excel formula for Beginners – How to Average with multiple criteria in Excel.

### Generic formula

`=AVERAGEIFS(values,range1,criteria1,range2,criteria2)`

### Explanation

To average numbers based on multiple criteria, you can use the AVERAGEIFS function. In the example shown, the formula in I5 is:

`=AVERAGEIFS(sales,group,F5,region,G5)`

where “group” (B5:B14), “region” (C5:C14), and “sales” (D5:D14) are named ranges.

### How this formula works

Like the COUNTIFS and SUMIFS function, the AVERAGEIFS function is designed to handle multiple criteria which are entered in [range, criteria] pairs. As long as this information is supplied correctly, the behavior of AVERAGEIFS is fully automatic.

In the example shown, we have group values in column F and region values in column G. We use these values directly by using cell references for criteria.

The first argument holds the range of values to average:

`sales`

To restrict calculation by group we provide:

`group,F5`

To restrict calculation by region we use:

`region,G5`

The result in cell J5 is 105:

`=AVERAGEIFS(sales,group,F5,region,G5) // returns 105`

### Without named ranges

Named ranges are used for readability only. The equivalent formula in J5, without named ranges and with criteria values hardcoded is:

`=AVERAGEIFS(D5:D14,B5:B14,"A",C5:C14,"East")`

# Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

## Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

# Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

`Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.`

# Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!