| Career track |
| | | | Data Scientist with Python - revised |
| Courses |
| | | Introduction to Python |
| | | Intermediate Python |
| | | Data Manipulation with pandas |
| | | Joining Data with pandas |
| | | Introduction to Data Visualization with Matplotlib |
| | | Introduction to Data Visualization with Seaborn |
| | | Python Data Science Toolbox (Part 1) |
| | | Python Data Science Toolbox (Part 2) |
| | | Intermediate Data Visualization with Seaborn |
| | | Introduction to Importing Data in Python |
| | | Intermediate Importing Data in Python |
| | | Cleaning Data in Python |
| | | Working with Dates and Times in Python |
| | | Writing Functions in Python |
| | | Exploratory Data Analysis in Python |
| | | Analyzing Police Activity with pandas |
| | | Statistical Thinking in Python (Part 1) |
| | | Statistical Thinking in Python (Part 2) |
| | | Supervised Learning with scikit-learn |
| | | Unsupervised Learning in Python |
| | | Machine Learning with Tree-Based Models in Python |
| | | Case Study: School Budgeting with Machine Learning in Python |
| | | Cluster Analysis in Python |