The Ultimate Guide to Data Analysis in Excel and Google Sheets
To produce outstanding visualizations, learn Excel and Google Sheets from beginner to expert level.
What you’ll learn
The Ultimate Guide to Data Analysis in Excel and Google Sheets
- Showcase your abilities to the world and include them on your CV with confidence.
- Create a dropdown list with checkboxes and freeze the row and column.
- Extract data from strings and concatenate them.
- Learn how to use Excel and spreadsheets to format, analyze, visualize, and automate data.
- Learn how to analyze data and think analytically.
- With the help of some great advanced Excel and spreadsheet tools, you can make amazing graphs and maps.
- Finding data insights and converting them into assets for the company
Requirements
- No prior understanding of analysis is necessary.
- It’s suitable for total beginners.
- Must have a great desire to learn about data and to work with it.
Description
This is a streamlined course that will teach you all you need to know about getting started with Excel and spreadsheets for data analysis. This course is for anybody interested in learning about data analysis and visualization. We’ll start by learning how to utilize the basic interfaces of Excel and Spreadsheet, then move on to structuring our data and tables in these programs.
Finally, we’ll learn how to undertake data analysis and apply different functions. Following that, we’ll go on to make visualizations with this program and learn a variety of other functions. This training should let you confidently use Excel and Google Sheets for your next analysis. You will be able to proudly display your abilities to the rest of the world and include them in your CV.
Why are you taking this course?
- I attempted to make the video and explain it in as few words as possible.
- The course is designed so that you can go through Excel and Google Sheets and understand all of the concepts in the most organized way possible.
Who this course is for:
- Anybody interested in learning how to deal with data
- Future analysts, managers, and operations/finance personnel
- Data lovers and hobbies
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