Introduction to Python for Data Science
Welcome to this introductory workshop series on Python for data science. This is a three part series that will walk through basic Python programming with data, working in Jupyter Lab, and doing advanced analyses with tabular datasets. See the schedule or table of contents below to navigate through all the workshop material.
Presenters
Chasz Griego 
Open Science Postdoctoral Associate
Office: 4416, Sorrells Library
cgriego@andrew.cmu.edu
Setup
To be best prepared for these workshops, please follow the setup instructions prior to attending.
Goal of this Workshop
The goal of this workshop is to introduce Python to learners who are new to the language or new to programming. Our goal is to get you comfortable using Python for the purpose of working with data.
Series
- Part 1: Introduction to Basic Programming with Data
- Part 2: Plotting and Analyzing Tabular Datasets
- Part 3: Analyzing Data with Logic and Iteration
Acknowledgment
The material for this workshop series was created from the Plotting and Programming in Python curriculum developed by The Software Carpentry Foundation of The Carpentries licensed under CC-BY 4.0
Table of contents
- Setup
- Introduction to Basic Programming with Data
- Plotting and Analyzing Tabular Datasets
- Analyzing Data with Logic and Iteration
- Python for Harvesting Data on the Web
- Making the Most with Jupyter Lab and Notebooks