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
Software testinggets a bad rap for being difficult, time-consuming, redundant, and above all - boring. But in fact, it is a proven way to ensure that your software will work flawlessly andcan meet... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
During this learning journey, you will be learning how to apply modernization in your Hybrid Cloud environment including IBM Z. We will look at lifecycle enablement by using DevOps, how to create... more
¿Has oído hablar de los ataques que reciben las grandes compañías o los bancos a través de sus sistemas informáticos? ¿Sabes detectar un archivo infectado por un virus? O ¿conoces medidas de segu... more
Software testinggets a bad rap for being difficult, time-consuming, redundant, and above all - boring. But in fact, it is a proven way to ensure that your software will work flawlessly andcan meet... more
Powered by
