Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.
Instructor: Jukka-Pekka "JP" Onnela,Associate Professor of Biostatistics Harvard University
About this course
This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings. This version of the course includes a new module on statistical learning.
Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.
What you'll learn
- Python 3 programming basics (a review)
- Python tools (e.g., NumPy and SciPy modules) for research applications
- How to apply Python research tools in practical settings