Loved by learners at thousands of companies
Spreadsheet software is one of the most popular and powerful tools in data analysis. Millions of people use tools like Google Sheets or Microsoft Excel on a daily basis. Even the most experienced data scientists often started their careers with spreadsheets and still use it to test assumptions or to look at data for the first time. In this course, you will learn the basics of spreadsheets by working with rows, columns, addresses, and ranges. You will create your own formulas and learn how to use references.
In this chapter, you’ll learn how to navigate within spreadsheets using concepts like rows, columns, cells, and ranges. Then you’ll practice using an essential part of spreadsheets: formulas. Finally, you'll learn how different data types are used in Google Sheets.
In this chapter, you’ll learn how to use a powerful technique in Google Sheets: referencing. This chapter will cover concepts like absolute references, autofilling, and reactivity. After this chapter, your productivity with spreadsheets will have increased by a factor of n.Cell references100 xpCircular references100 xpCopying references100 xpCopying horizontally100 xpCopying columns100 xpMathematical operators and references100 xpPercentages and references100 xpComparison operators and references100 xpAbsolute references100 xpAbsolute references: row100 xpAbsolute references: column100 xpCombine everything100 xp
Data and Software Engineer @DataCamp
Vincent has a Master's degree in Computer Science and has several years of experience scaling up the DataCamp's platform as a Software Engineer. He experienced first-hand the difficulties that come with building scalable data products. This made him passionate about teaching people how to do tackle these problems the right way.