English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 52m | 294 MB
Join instructor Seth Berry as he presents 15 challenges, starting with a test of basic skills and moving on to more complex tasks. Each video is self-contained, so you can choose which challenges to try, and then compare your solution with Seth’s explanation. These challenges focus on data acquisitions, data prep, and EDA.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace.
Each installment of the Level Up series offers at least 15 bite-sized opportunities to practice programming at various levels of difficulty, so you can challenge yourself and reinforce what you’ve learned. Check out the “Using GitHub Codespaces with this course” video to learn how to get a codespace up and running.
Table of Contents
1 Getting started with Python for data science Code challenges
2 Using GitHub Codespaces with this course
3 Scraping tables
4 Finding CSS selectors
5 Scraping text
6 Finding APIs
7 Getting JSON into pandas
8 Constructing regular expressions
9 Cleaning text
10 Selecting variables
11 Encoding categorical variables
12 Scaling variables
13 Reducing dimensionality
14 Describing data
15 Finding correlations
16 Visualizing correlations
17 Multivariable visualizations
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