HarvardX-Using-Python-for-Research

Link for the course: Using Python for Research

This course is a course offered by Harvard in edX platform. Syllabus of the course is following:

COURSE OUTLINE

Welcome and Introduction

• Introduction and Welcome
• Pre-Quiz Self-Assessment
• Important Pre-Course Survey

Week 1: Basics of Python 3

• Week 1 Overview
• Part 1: Objects and Methods (Comprehension Check)
• Part 2: Sequence Objects (Comprehension Check)
• Part 3: Manipulating Objects (Comprehension Check)
• Week 1 Homework (Homework)

Week 2: Python Libraries and Concepts Used in Research

• Week 2 Overview
• Part 1: Scope Rules and Classes (Comprehension Check)
• Part 2: NumPy (Comprehension Check)
• Part 3: Matplotlib and Pyplot (Comprehension Check)
• Part 4: Randomness and Time (Comprehension Check)
• Week 2 Homework (Homework)

Week 3: Case Studies Part 1

• Week 3 Overview
• DNA Translation (Comprehension Check)
• Homework: DNA Translation (Homework)
• Language Processing (Comprehension Check)
• Homework: Language Processing (Homework)
• Introduction to Classification (Comprehension Check)
• Homework: Introduction to Classification (Homework)

Week 4: Case Studies Part 2

• Classifying Whiskies (Comprehension Check)
• Homework: Classifying Whiskies (Homework)
• Bird Migration (Comprehension Check)
• Homework: Bird Migration (Homework)
• Social Network Analysis (Comprehension Check)
• Homework: Social Network Analysis (Homework)

Week 5: Statistical Learning

• Week 5 Overview
• Part 1: Linear Regression (Comprehension Check)
• Part 2: Logistic Regression (Comprehension Check)
• Part 3: Random Forest (Comprehension Check)
• Homework: Case Study 7 (Homework)
• Homework: Case Study 7, Part 2 (Homework)

Final Project