Week 01

Introduction, Installations, IDEs, Command line

Lectures Notes:

• Instructions for setting up the course infra-structure.

• Using Jupyter Notebooks: html, notebook

• Using Quarto for Python and R html, notebook

• Basics of Command Line: html, notebook

Slides

• Week 01:Introduction, Installations, IDEs, Command line

Readings

The readings for this week will be a mix of:

A more general introduction to data science from a applied perspective (which you can call Data Science and Public Policy, Data Science for Public Good, or Computational Social Science in academic spaces)

Required Readings

• Bit by Bit: Social Research in the Digital Age By Mathew Salganik

• Introduction

• Observing Behavior

• A Three-Step Guide to Training Computational Social Science Ph.D. Students for Academic and Non-Academic Careers - By Aniket Kesari, Jae Yeon Kim, Sono Shah, Taylor Brown, Tiago Ventura and Tina Law

Best Practices in Programming, IDEs and Files Management:

Required Readings

• Jupyter Notebook for Beginners: A tutorial Pryke, Benjamin - www.dataquest.io

• Using Python with RStudio and reticulate: here and here

Additional

• More on RStudio + Reticulate

• R & Python: A Love Storsy - rstudio.com

• RStudio 1.2 Preview: Reticulated Python

• On using LaTex to write math in markdown - docx2latex.com