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
- 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