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

Excel is a powerful tool for data analysis, and one of its many functions is the ability to count numbers. However, sometimes the numbers you want to count are too long to be counted using the standard COUNTIF function. In these cases, you’ll need to use an alternative method to count the numbers.

One alternative method for counting long numbers in Excel is to use a combination of the “IF” and “SUM” functions. The IF function allows you to specify a condition, and if that condition is met, it returns one value, and if it’s not met, it returns another value. The SUM function allows you to add up a range of numbers. By combining these two functions, you can count long numbers in your data set.

To use the IF and SUM functions to count long numbers, you’ll need to create a data set in Excel. This can be done by manually entering the data into the cells, or by importing the data from another source, such as a database or a spreadsheet.

Next, you’ll need to specify the criteria that you want to use to count the numbers. For example, if you want to count the number of cells in column A that contain a number greater than 1000, your criteria would be “A>1000”.

To use the IF and SUM functions, you’ll enter the following formula into a cell: “=SUM(IF(condition, 1, 0))”. Replace “condition” with the criteria you want to use to count the numbers (e.g., A>1000).

When you press enter, Excel will calculate the number of cells in your data set that meet the criteria, and return the result. This is a quick and easy way to count long numbers in Excel, and can be a valuable tool for data analysts looking to analyze their data and make informed decisions based on that analysis.

In conclusion, counting long numbers in Excel without the COUNTIF function is a simple process that can be done using a combination of the IF and SUM functions. Whether you’re a seasoned data analyst or just starting out, this technique can help you efficiently and accurately analyze your data and make informed decisions based on that analysis. By using this alternative method, you can take advantage of the powerful counting capabilities of Excel, even when your numbers are too long to be counted using the standard COUNTIF function.

# Excel Example for Data Analyst – Count long numbers without COUNTIF

Loading...
Taking too long?

Reload document
| Open in new tab

Download PDF [374.33 KB]

# 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!