| Career track |
| | | | Data Scientist with Python - revised |
| Courses |
| | | Introduction to Python |
| | | Intermediate Python |
| | | Python Data Science Toolbox (Part 1) |
| | | Python Data Science Toolbox (Part 2) |
| | | Introduction to Importing Data in Python |
| | | Intermediate Importing Data in Python |
| | | Cleaning Data in Python (archived) |
| | | pandas Foundations |
| | | Manipulating DataFrames with pandas |
| | | Merging DataFrames with pandas |
| | | Analyzing Police Activity with pandas |
| | | Introduction to SQL |
| | | Introduction to Relational Databases in SQL |
| | | Introduction to Data Visualization in Python |
| | | Interactive Data Visualization with Bokeh |
| | | Statistical Thinking in Python (Part 1) |
| | | Statistical Thinking in Python (Part 2) |
| | | Joining Data in SQL |
| | | Introduction to Shell |
| | | Conda Essentials |
| | | Supervised Learning with scikit-learn |
| | | Case Study: School Budgeting with Machine Learning in Python |
| | | Unsupervised Learning in Python |
| | | Machine Learning with Tree-Based Models in Python |
| | | Introduction to Deep Learning in Python |
| | | Introduction to Network Analysis in Python |