- Intro to Python for Data Science
- Intermediate Python for Data Science
- Python Data Science Toolbox (Part 1)
- Python Data Science Toolbox (Part 2)
- Importing Data in Python (Part 1)
- Importing Data in Python (Part 2)
- Cleaning Data in Python
- Pandas Foundations
- Manipulating DataFrames with pandas
- Merging DataFrames with pandas
- Introduction to Databases in Python
- Introduction to Data Visualization with Python
- Interactive Data Visualization with Bokeh
- Statistical Thinking in Python (Part 1)
- Statistical Thinking in Python (Part 2)
- Supervised Learning with scikit-learn
- Machine Learning with the Experts: School Budgets
- Unsupervised Learning in Python
- Deep Learning in Python
- Network Analysis in Python (Part 1)
nitincs/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
PythonMIT