Using Python for Research
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.Created by: Harvard University
Level: Intermediate
Related Online Courses
Could we create an opponent that will always beat us in rock paper scissors? How could we educate youth about the climate crisis through a video game? Can a story be interactive? These are some of... more
About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in self-paced... more
This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data... more
The rapid evolution of computers has brought technical devices as an active weapon to criminals. Cybercriminals have enjoyed the pleasure of being able to combine a large array of complex... more
This Data Structures & Algorithms course completes the 4-course sequence of the program with graph algorithms, dynamic programming and pattern matching solutions. A short Java review is... more
Powered by
