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LinkedIn Learning

Level Up: Python Data Acquisitions, Prep, and EDA

via LinkedIn Learning

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Overview

Hone your Python skills related to data acquisitions, prep, and exploratory data analysis (EDA).

Syllabus

Introduction
  • Getting started with Python for data science: Code challenges
  • Using GitHub Codespaces with this course
1. Data Acquisition
  • Scraping tables
  • Finding CSS selectors
  • Scraping text
  • Finding APIs
  • Getting JSON into pandas
2. Data Prep
  • Constructing regular expressions
  • Cleaning text
  • Selecting variables
  • Encoding categorical variables
  • Scaling variables
  • Reducing dimensionality
3. EDA
  • Describing data
  • Finding correlations
  • Visualizing correlations
  • Multivariable visualizations

Taught by

Seth Berry

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