This is the GreyAtom repository for the Data Science Masters Program. In here you'll find the course curriculum comprising of Sprints.

Every Sprint has two concepts and inside every concept, you'll find the session content for the session reserved for that particular concept. This session content consists of :

• Sesssion Plan : A outline of the activities and content to be covered in the session.
• Code Walkthrough : This folder contains an IPython notebook and the data file for the code-walkthrough to be performed during the session.
• Activity : It is ok to be wrong and the whole point of the activity is to make you think.

Sprints of the Program

• Sprint 1.1 - Python: Getting Started
• Sprint 1.2 - Python: Handling Program Flow
• Sprint 2.1 - Numpy: Manipulating Data
• Sprint 2.2 - Pandas: Wrangling with Data
• Sprint 3.1 - Matplotlib: Data Visualization
• Sprint 3.2 - Guided Hackathon
• Sprint 4.1 - Descriptive Statistics: Summarizing Data
• Sprint 4.2 - Probability for Machine Learning
• Sprint 5.1 - Making Inference from Data
• Sprint 5.2 - Make Your First Prediction with Linear Regression
• Sprint 6.1 - Regularization
• Sprint 6.2 - EDA & Data Pre-processing

In addition to these, you can find some helpful resources in the GreyAtom Data Science Knowledge Base