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CourseraData ScienceFree courseBeginner levelCertificate

The Data Scientist's Toolbox

This Coursera course was created by Johns Hopkins University. It introduces tools and resources that are essential to working in data science, and it splits lessons into a theoretical and practical half.

5.0
792 reviews

Created by: Jeff Leek

Produced in 2019

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What you will learn

  • The fundamentals of data science.
  • R and RStudio.
  • Version control and GitHub.
  • Scientific Thinking, R Markdown and Big Data.

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Quality Score

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Qualified Instructor
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Course Depth & Coverage
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Overall Score : 100 / 100

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Course Description

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Data Science Awards Best Coursera 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.
Beginner Beginner Level product length iconTime: 8h

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Pros

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Cons

    • Course takes a light introduction on a broad range of topics that all apply to data science. Great preparation for a full-dive, multicourse adventure into data science.
    • Covers mindset of data science in a way most courses skip.
    • Course ensures that you have the tools to take on a journey to truly master data science.
    • Course covers a substantial range of data science tools. Accessing all of them can potentially add a hefty price tag to completing the course.
    • Course is not a Capstone project. It is intended to prepare for a data science Capstone project.
    • Course teaches very little data science itself. It is more like going over the syllabus and prerequisites before diving into real learning.

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Instructor Details

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Jeff Leek is an Assistant Professor of statistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in statistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome logy, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for statistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

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Reviews

5.0

792 reviews in total

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By Annina H on 14-Aug-19

The course contents are thorough and clear, but the UI and the platform of the web course could use some thought. I find it a bit tricky to take notes and copy url's and command lines from the video. Perhaps this is just a matter of getting use to the platform. Excited to proceed to the next course!

By anubhavbbd on 1-Aug-19

it was simply the best

By SOMA C on 31-Jul-19

More clarity on creation of .md file should be included in lectures

By Erica R on 14-Jul-19

Good overview of the ideas/concepts in data science and the set of courses coming up, but mostly seems to be a place for people to work out any issues getting Git, R, and RStudio set up before they head into the R programming intro. Very light on useful content outside of that. Definitely not 4 weeks worth of course material - can do the whole thing in a couple hours or less.

By Aryan G on 1-Jul-19

This is a very good course as it tells you some basic and is mostly the introductive course for the entire specialization.

By kaan b on 28-May-19

Not met what offered. I really don't know why but Instructor was in a hurry and like, he was in the position of instructor by obligation. Maybe, He has knowledge of the subject, but definitely does not have even basic skills of teaching.Because of this course, I am not planning to follow other courses on this specialization.

By Khaleel u r on 22-May-19

execellent i am very to gland get this certificate .. it is so valueable for me. the first one of data science track

By Замышляев ÐÂ on 14-Apr-19

It was interesting and useful, tnx

By Fabiano d L S on 14-Apr-19

Amazing start

By Magdiel B d N A on 12-Apr-19

Thats great

By Elimane N on 11-Apr-19

Very good and usefull course!

By Andrea R C on 11-Apr-19

A great intro to the course. I am not the biggest fan of the automated voice, but it gets the job done. I do like the secondary lessons written out with bulleted lists and close-ups of the slides. That is like a helpful review.

Showing 12 of 792 reviews

The Data Scientist's Toolbox
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  • Video Duration: icon 8h
  • Price: Free
  • Provider: icon Coursera
  • University: icon John Hopkins University
  • Year: icon 2019
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes

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