Python for Data Science

Files for the Python for Data Science workshops, presented by the IDEA Student Center at UC San Diego.

Topics

Data Science is relevant to a wide range of disciplines and applications, which are too numerous to be covered in a single workshop. Instead, the files in this repository focus on a subset of some of the more common Data Science topics and skills:

• data files: reading/writing
• data visualization
• time-series analysis
• regression
• classification
• statistics

Requirements

• Python 2 or 3
• Jupyter Notebook
• NumPy
• SciPy
• Matplotlib
• Pandas
• scikit-learn

Installation

We highly recommend installing Python using Anaconda, an all-in-one installer that includes everything we will need for the workshop (Python + essential packages). To install:

1. go to the Anaconda download page: https://www.anaconda.com/download/
2. download the Python 3.x graphical installer for your OS
3. run the installer

NOTE: The installer download is large (approx. 600 MB) and installation (after downloading) can take 10–20 mins to run.

Related resources

Online courses:

• Learn Python for Data Science: https://www.datacamp.com/learn-python-with-anaconda

Datasets:

• FiveThirtyEight data repository: https://github.com/fivethirtyeight/data
• Kaggle

Articles:

• Using Facebook to track sleeping habits: https://medium.com/@sqrendk/how-you-can-use-facebook-to-track-your-friends-sleeping-habits-505ace7fffb6