Data Nerds! This repo contains all the notebooks needed to follow along my free course: Python for Data Analytics

🙋🏼‍♂️ Course Leader: Luke Barousse
🎬 Course Producer: Kelly Adams
📺 Video Editor: Brannon Linder

This chapter is meant for Google Colab.

• Introduction to Python
  • Variables
  • Data Types
  • Operators
  • Functions
  • Classes
• Python Standard Libraries
  • datetime
  • random
  • ast
• Libraries for Data Science
  • Numpy
  • Matplotlib
  • Pandas

• Advanced Pandas
  • Data Cleaning
  • Data Manipulation
  • Data Visualization
• Advanced Matplotlib
  • Statistical Plots
  • Customizing Plots
  • Subplots

• Investigating Top Skills in Data Science
  • Data Cleaning
  • Data Analysis
  • Data Visualization
  • Data Interpretation

• The Notebooks to solve practice problems
  • Purchase the problems here

• If you find an error in this codebase, please feel free to make a pull request by:
  • Forking the repo
  • Making any changes
  • Submitting a pull request