Python Functions for Data Science
With Lavanya Vijayan and Madecraft
Liked by 1,044 users
Duration: 1h 30m
Skill level: Intermediate
Released: 10/2/2020
Course details
Functions are a core building block of programming and working with data and an essential approach to making code more readable and reusable. In this course, discover how to save time and enhance your code using common functions for data science projects. Explore fundamental built-in Python functions for data science, as well as more advanced built-in functions such as the filter function in Python. Learn how to leverage functions from the NumPy and SciPy libraries to manipulate numerical data and perform statistical operations. Learn how to store, modify, and group data efficiently using functions from the pandas library. Get tips on using functions from the Matplotlib and Seaborn libraries for data visualization. Plus, get insights into common pitfalls and mistakes developers make when using functions as part of a data science initiative.
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- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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