Using Python for Research

Harvard University via edX

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Overview

This course bridges programming with academic research by teaching how Python can be effectively used for data analysis, visualization, and modeling in research environments. Aimed at researchers and students in fields like biology, economics, and psychology, it introduces libraries such as Num Py, pandas, matplotlib, and Sci Py. Topics include working with real-world datasets, performing simulations, statistical analysis, and automating repetitive research tasks. Youâll also gain insights into integrating Python into your academic workflow. With practical examples and exercises, this...

Syllabus

Week 1: Python Basics
Review of basic Python 3 language concepts and syntax.

Week 2: Python Research Tools
Introduction to Python modules commonly used in scientific computation, such as NumPy.

Weeks 3 & 4: Case Studies
This collection of six case studies from different disciplines provides opportunities to practice Python research skills.

Week 5: Statistical Learning
Exploration of statistical learning using the scikit-learn library followed by a two-part case study that allows you to further practice your coding skills.