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Data Science: Exploratory Data Analysis with Python

Presenter: Matthew Reyes

Target Audience:

  • Hackers with some programming experience in Python
  • Hackers with some experience working with datasets

Suggested Prerequisites:

  • Latest versions of Python, Conda, and Jupyter Notebook
  • The following python packages: numpy, scipy, matplotlib, seaborn, pandas

Workshop Goals:

  • Shed light on what data science is
  • Teach hackers how Python fits into the data science process
  • Teach hackers how to conduct exploratory analysis of a dataset

Description:

In this workshop, dive headfirst into the world of data science and learn how to use Python to do exploratory analysis on rich datasets.

Content Breakdown:

  • Overview of data science
    • What is data science?
    • Public perception
    • Applications of data science
    • Reality
    • Helpful skills
  • Dataset Overview
    • Explain the dataset and where it's from
  • Live Demo
    • Go over content in Python notebook
  • Q&A

Slides