Published: December, 2021
Excel is one of the most widely used spreadsheet programs in the world.
People have been using it for the last 30 years and throughout these years, it has been upgraded with more and more features. While the number of companies that are going completely digital is increasing, many firms prefer viewing documents and filing them in paper form.
Have you come across situations where a lot of people have access to the same Excel file and many a time a text in amount columns, numbers in data columns, and such crawl into the sheets making it difficult to understand the data?
Such misplaced data are called bad data.
How great it would be if you can limit the input of data according to the value they are supposed to have!
This is possible because of Excel Data Validation!!
Excel data validation is a feature that allows you to control the type of data entered into your worksheet. For example, Excel data validation allows you to limit data entries to a selection from a dropdown list and to restrict certain data entries, such as dates or numbers outside of a predetermined range.
Data validation can also help you control formulas and the input from those formulas. You can even craft custom Excel data validation messages that help guide users toward the right data entry when they hit a limit.
It doesn’t matter what version of the PC or Mac operating system you’re using. The techniques we will cover in this CPE webinar will work similarly in Excel for PC and Mac
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Co-Founder & CEO, Lunes Holdings, LLC
Hi I’m Juan. I’ve been an Entrepreneur since grade school. My background is in the tech space from Digital Marketing, E commerce, Web Development to Programming. I’ve consulted and helped digital entrepreneurs and multiple seven figure businesses reach new levels of success. I’ve learned the strategies, philosophies, methodologies, principles and core values from the most successful people in the world. I believe in continuous education with the best of a University Degree without all the downsides of burdensome costs and inefficient methods.
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Apr 26th, 2022