Back to The Data Scientist’s Toolbox
Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
33,957 ratings
About the Course
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
Highlights
Foundational tools
(243 Reviews)
Introductory course
(1056 Reviews)
Top reviews
LR
Sep 7, 2017
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
SF
Apr 14, 2020
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
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7151 - 7155 of 7,155 Reviews for The Data Scientist’s Toolbox
By pengwei
•Apr 20, 2017
annoying
By pavani
•Oct 17, 2016
very bad
By Warren
•Feb 9, 2016
Not Free
By Mohammed S
•Jul 17, 2020
poor
By Andrew P
•Feb 9, 2016
I'm