The Data Scientist's Toolbox online course by Coursera
The Data Scientist’s Toolbox (Coursera)

The Data Scientist’s Toolbox (Coursera)

The Data Scientist’s Toolbox is a free online MOOC Course, Offered by Johns Hopkins University via Coursera. This course is part of multiple programs.

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

  • Data Science: Foundations using R Specialization
  • Data Science Specialization

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The Data Scientist’s Toolbox Online Course Overview

In The Data Scientist’s Toolbox online course by Coursera, 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.

WHAT YOU WILL LEARN

  • Set up R, R-Studio, Github, and other useful tools
  • Understand the data, problems, and tools that data analysts use
  • Explain essential study design concepts
  • Create a Github repository

Course Syllabus

WEEK 1 – Data Science Fundamentals

In this module, we’ll introduce and define data science and data itself. We’ll also go over some of the resources that data scientists use to get help when they’re stuck.

WEEK 2 – R and RStudio

Version Control and GitHub

During this module, you’ll learn about version control and why it’s so important to data scientists. You’ll also learn how to use Git and GitHub to manage version control in data science projects.

WEEK 4 – R Markdown, Scientific Thinking, and Big Data

During this final module, you’ll learn to use R Markdown and get an introduction to three concepts that are incredibly important to every successful data scientist: asking good questions, experimental design, and big data.

Teacher

  • Jeff Leek

Additional information

Course Delivery

Online

Course Efforts

18 Hours

Course Enrollment

Free

Course Language

English

Course Length

4 Weeks

Course Level

Mixed

Course Provider

Course School

Course Subtitles

Arabic, English, French, German, Korean, Portuguese, Russian, Spanish

Flexible Learning

Yes

Verified Certificate

Paid

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