Loved by learners at thousands of companies
In this project, you’ll apply the skills you learned in Introduction to Python and Intermediate Python to solve a real-world data science problem. You’ll press “watch next episode” to discover if Netflix’s movies are getting shorter over time and which guest stars appear in the most popular episode of "The Office", using everything from lists and loops to pandas and matplotlib. You’ll also gain experience in an essential data science skill — exploratory data analysis. This will allow you to perform critical tasks such as manipulating raw data and drawing conclusions from plots you create of the data. Press play to begin!
- 1Loading your friend's data into a dictionary
- 2Creating a DataFrame from a dictionary
- 3A visual inspection of our data
- 4Loading the rest of the data from a CSV
- 5Filtering for movies!
- 6Creating a scatter plot
- 7Digging deeper
- 8Marking non-feature films
- 9Plotting with color!
- 10What next?
Justin is a Workspace Content Developer at DataCamp. He holds a bachelor's degree in psychology from St. Francis Xavier University, and a graduate degree in social psychology from VU Amsterdam. In 2016 Justin received a PhD in marketing from KU Leuven.
What do other learners have to say?
I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.
Devon Edwards Joseph
Lloyds Banking Group
DataCamp is the top resource I recommend for learning data science.
Harvard Business School
DataCamp is by far my favorite website to learn from.
Decision Science Analytics, USAA