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The Data Scientist’s Toolbox
3.17/5
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Difficulty Rating:
Early Beginner 4
Advanced Beginner 1
Intermediate 0
Advanced Intermediate 0
Advanced 0


From Coursera:

“Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

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.

Course Syllabus
Upon completion of this course you will be able to identify and classify data science problems. You will also have created your Github account, created your first repository, and pushed your first markdown file to your account.

Course Format
This course consists of weekly video lectures, weekly quizzes, and a final peer-assessed project.

Course at a Glance
4 weeks of study
1-4 hours/week”

Free, unless you want to get the Data Science Certificate, then it’s $29.

Recommended Prerequisites: "No prior backround required. Previous experience in programming is helpful."

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