Popular Courses
Intro to Python
Intro to R
Intro to SQL
Popular Searches
SQL
Python for Spreadsheet Users
Use your knowledge of common spreadsheet functions and techniques to explore Python!
- 4 hours
- 13 Videos
- 48 Exercises
- 11,396 Participants
- 3,900 XP
Create Your Free Account
By continuing you accept the Terms of Use and Privacy Policy, that your data will be stored outside of the EU, and that you are 16 years or older.
Loved by learners at thousands of top companies:
Course Description
Are you looking for a better solution than the one you’ve built in a spreadsheet? If so, then Python for Spreadsheet Users is a great introduction to the Python language, and will put you on the right path towards automating repetitive work, diving deeper into your data, and widening the scope of what you are capable of accomplishing. Throughout the course, we’ll draw parallels to common spreadsheet functions and techniques, so you’ll always have a familiar reference point as you dive head first into Python.
-
1
Diving In
FreeLet's get right into it! In this chapter, you'll become acclimated with Python syntax, loading your data into a Python session, and how to explore and edit this data to answer business questions.
-
Working with Multiple Sheets
This chapter will focus on how to import and manage multiple sheets from a workbook, as well as how to join these sheets together using the Python equivalent of a VLOOKUP: the left join.
-
Pivoting in Python
The pivot table is a core tool in the savvy spreadsheet user's arsenal. In this chapter, we'll focus on simply recreating this functionality in Python using some handy DataFrame methods.
-
Plotting Data
Now that you're able to import and manipulate your data in Python, let's shift our focus to visualizing this data so that our insights are easily communicable to others.
-
1
Diving In
FreeLet's get right into it! In this chapter, you'll become acclimated with Python syntax, loading your data into a Python session, and how to explore and edit this data to answer business questions.
-
Pivoting in Python
The pivot table is a core tool in the savvy spreadsheet user's arsenal. In this chapter, we'll focus on simply recreating this functionality in Python using some handy DataFrame methods.
-
Working with Multiple Sheets
This chapter will focus on how to import and manage multiple sheets from a workbook, as well as how to join these sheets together using the Python equivalent of a VLOOKUP: the left join.
-
Plotting Data
Now that you're able to import and manipulate your data in Python, let's shift our focus to visualizing this data so that our insights are easily communicable to others.
What do other learners have to say?
“I've used other sites, but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyd's Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics @ USAA
Chris Cardillo
Data Scientist at DataCamp
Chris is a Data Scientist at DataCamp, and actually learned programming for data science on DataCamp prior to joining the company. He is extremely passionate about helping others find the joy of coding to alleviate repetitive and time-consuming tasks. Previously, Chris was the Associate Director of Strategy at a digital advertising agency, and graduated with a B.S./M.B.A. from Drexel University in Philadelphia.
See MoreCollaborators
-
Hillary Green-Lerman
-
Amy Peterson