Cambridge Spark Applied Data Science Bootcamp

Module ADS01 : Tools, Mathematics & Best Practices

1. Data Science Tools
2. Numpy
3. Pandas
4. Linear Algebra
5. Probabilities
6. Optimisation
7. Testing
8. Code Quality

Data Exploration, Supervised Learning and Feature Engineering

1. EDA with Pandas
2. Data Preprocessing
3. Linear Regression
4. Principal Component Analysis

Module ADS03 : Classification, Model Selection & OO Programming

1. Logistic Regression
2. Discriminative Classifiers
3. Model Evaluation
4. Object Oriented Programming

Module ADS04 : Time Series and Unsupervised Learning

1. Dealing with Time
2. Time Series
3. Auto Regressive Models
4. Unsupervised Learning