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
Today more than ever, the optimal use of resources has become a very important issue. Many decision problems (logistics, production, space, etc.) aiming at an optimal use of resources can be... more
The course lectures will be presented in short videos. To help you master the material, there will be in-lecture questions to answer, quizzes, and two exams: a midterm and a final. There will also... more
This quantum computing course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write... more
The DevOps Basics for Everyone course explores DevOps as a cultural movement. By thinking from a DevOps perspective, you will be able to build better products for your customer. This course... more
La ciencia de los datos es soportada por diversas áreas de conocimiento, siendo el aprendizaje automático una de las más relevantes. ¿Y qué es esto? Es la creación de modelos predictivos, regre... more
Powered by
