Back to The Data Scientist’s Toolbox
Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
33,933 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
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.
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.
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By Andrew P
•Feb 9, 2016
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