This repository contains learning resources and materials for the data science track of Create-Code-Learn at CODE University of Applied Sciences, held between April 13 and May 31, 2018.
The learning goals are listed below:
- Setting up a computational environment for data science projects
- Basic skills using git
- Basic+ skills using Python
- Navigating the Python ecosystem (data science stack)
- Literate Programming using Jupyter Notebooks
- Code refactoring
- Exploratory Data Analysis (EDA)
- Predictive Modeling (Machine Learning)
- Generating reports
An extensive list of learning resources is made available here.