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
Magma leverages open source software and commodity hardware to help operators manage their networks efficiently. It provides a high level of automation, high reliability, and the ability to deliver... more
Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los... more
Developers working in cloud native teams face the challenge of shuffling between microservices, external APIs, libraries, and other software components. Developer portals like Backstage can help... more
Want to take a fascinating journey through the history of gaming? Then this course is for you. Our journey begins with an exploration of how ancient board games evolved into modern board games and... more
In this revised course, in depth video lectures cover various concepts related to architecture and structural design are presented and are accompanied by detailed articles for further study. Modern... more
Powered by
