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Using Python for Research

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.

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Harvard University

Rating 3.4 based on 9 ratings
Length 12 weeks
Effort 2 - 4 hours per week
Starts Aug 14 (7 days ago)
Cost $99
From Harvard University, HarvardX via edX
Instructor Jukka-Pekka "JP" Onnela
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science Science
Tags Computer Science Data Analysis & Statistics Science

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What people are saying

According to other learners, here's what you need to know

first two weeks in one review

First two weeks of the course are teaching Python and the necessary libraries for research.

actually be productive in one review

It does have some unfortunate flaws, but sometimes fighting with the auto-grader can actually be productive--it forces you to try lots of different approaches before you realize what's going on.

auto-grader can actually in one review

different approaches before in one review

few red points in one review

A great course even with few red points.

grader having numeric in one review

Datacamp exercises are especially poor: instructions are often imprecise and ambiguous, with grader having numeric precision errors and unhelpful error reports.

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edX

&

Harvard University

Rating 3.4 based on 9 ratings
Length 12 weeks
Effort 2 - 4 hours per week
Starts Aug 14 (7 days ago)
Cost $99
From Harvard University, HarvardX via edX
Instructor Jukka-Pekka "JP" Onnela
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science Science
Tags Computer Science Data Analysis & Statistics Science

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