English | Size: 2.27 GB
Genre: eLearning
Excel 2022 for Data Analysis: Beginners Online Training
This entry-level Excel 2022 for Data Analysis: Beginners training prepares technical and non-technical professionals to take huge amounts of data or big confusing spreadsheets and use Excel to extract meaningful information that can help make better business decisions.
Too many people think that learning about Microsoft Excel functions and formulas will be a dry and uninteresting slog that won’t help them in the long run. The truth is that even the tiniest familiarity with Excel can not only make your job easier but help you organize and manipulate data in order to answer business questions.
This course will show you the simple steps you can follow to make your Excel spreadsheets do more for you and act how you want them to. Excel was designed to do tons of work for you automatically. Take this course and learn exactly how to unlock all that potential.
Once you’re done with this data analysis skills training, you’ll know how to take huge amounts of data or big confusing spreadsheets and use Excel to extract meaningful information that helps make better business decisions.
For anyone who manages technical and non-technical professionals, this data analysis training can be used to onboard technical and non-technical professionals, curated into individual or team training plans, or as a data analysis reference resource.
Excel 2022 for Data Analysis: Beginners: What You Need to Know
This Excel 2022 for Data Analysis: Beginners training covers Excel topics including:
Finding your way around spreadsheets
Reading, writing, and updating formulas in Excel
Using the power of Excel to do the heavy lifting of analysis for you
Who Should Take Excel 2022 for Data Analysis: Beginners Training?
This Excel 2022 for Data Analysis: Beginners training is considered foundational-level data analysis training, which means it was designed for technical and non-technical professionals. This Excel skills course is valuable for new IT professionals with at least a year of experience with data analysis tools and experienced technical and non-technical professionals looking to validate their data analysis skills.
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