| Career track |
| | | | Machine Learning Scientist with Python |
| Courses |
| | | Supervised Learning with scikit-learn |
| | | Unsupervised Learning in Python |
| | | Linear Classifiers in Python |
| | | Machine Learning with Tree-Based Models in Python |
| | | Extreme Gradient Boosting with XGBoost |
| | | Cluster Analysis in Python |
| | | Dimensionality Reduction in Python |
| | | Preprocessing for Machine Learning in Python |
| | | Machine Learning for Time Series Data in Python |
| | | Feature Engineering for Machine Learning in Python |
| | | Introduction to Natural Language Processing in Python |
| | | Feature Engineering for NLP in Python |
| | | Introduction to TensorFlow in Python |
| | | Introduction to Deep Learning in Python |
| | | Introduction to Deep Learning with Keras |
| | | Advanced Deep Learning with Keras |
| | | Image Processing in Python |
| | | Image Processing with Keras in Python |
| | | Hyperparameter Tuning in Python |
| | | Introduction to PySpark |
| | | Machine Learning with PySpark |
| | | Winning a Kaggle Competition in Python |