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
Deploying and managing applications securely and efficiently is critical in today's technology organizations. As a result, organizations are turning to Kubernetes to run their workloads, only to... more
Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos,... more
This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming... more
The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major components of the... more
Products and equipment all around us are made of materials: look around you and you will see phones, computers, cars, and buildings. We face challenges in securing the supply of materials and the... more
Powered by
