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Python-for-Research

  • Review the basics of Python 3 programming
  • Learn how to use Python tools (e.g., the NumPy and SciPy modules) for research applications
  • Learn how to apply Python research tools in practical settings

OUTLINE

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)

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python-for-research's Issues

Regarding Edx Using Python for Research Course

Hey, I want to know that is it necessary to complete the final project to get the certificate for this course if my progress is already above the required bench mark, that is, above 70%.? And if that is the case then, can you please help me in my final project, because am stuck.

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