Data Science Project: Analyze FiveThirtyEight NBA Data

Data science is all around us, reshaping our world as we find new ways to put our data to good use. From recommender systems on streaming and e-commerce platforms to self-driving cars and A.I. artists, there are tons of new and exciting ways data science can improve our lives. It's even used in the sports industry, helping to predict game outcomes, inform scouting, and power the simulation behind your favorite fantasy teams.
Interested in working with data? In honor of National Coding Week, we'll show you how. In this livestream, Codecademy Data Science Domain Manager Michelle McSweeney will walk you through a data science project in which you'll analyze real NBA data to compare the performance of different teams. You'll learn about the difference between quantitative and categorical data and variables, use histograms to compare the means, and interpret the result of a hypothesis test using a Chi-square statistic.
Want to learn more about data science? Check out the courses and projects below:
Data science projects: bit.ly/3E2LKRM
Data science courses: bit.ly/3RjsvXe
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[@VideoBoss1]

Great video, the menu works great

[@gabbehco]

At 19:25 , it was mentioned that the lines in the seen in the middle of the boxplots are means, but I thought they were medians?

[@shivff8511]

Nice