jofreem/comp205

Course materials for COMP 205: Principles of Data Science in Python

COMP 205 -- Principles of Data Science in Python

This repository contains the Jupyter Notebooks for the course COMP 205, taught at Tufts University.

Course Outline

COMP-205 loosely follows the Data Processing Pipeline. credit: Martin Magdinier, University of Texas.

Module 1 sweeps through some of the basic concepts on which this course is based. Module 2 is an introduction to Python as a programming language. It skips some advanced features of Python that may be of interest in an advanced Python programming course. Module 3 builds on Module 2 to help develop the skills at which data scientists spend a bulk of their time professionally. Module 4 covers analysis and visualization, which is the goal of data science: to draw actionable conclusions.

History

• Original Jupyter Notebooks for the course in Summer 2019, by Prof. Alva Couch.
• Adapted for Fall 2019 by Jitendra Singh.