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The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック



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....
Foundational tools
Introductory course



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.


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.


The Data Scientist’s Toolbox: 5151 - 5175 / 6,786 レビュー

by Loga S


I love everything in this course except the robotic voice. Atleast some good robotic voice will do

by Jim L


Very very basic, but will get you set up from what I imagine is the more strenuous work to come...

by Ben G


Good course for an introduction, the next course in the data scientist specialisation gets better.

by Kim W


A good overview of data science generally and a very helpful introduction to R Studio and GitHub.

by HU Y


It's the basic introduction courses for data science and it's good, we can learn a lot from this.

by kailash D k


It helps to clear the concepts which are not given clear in other platform this helps to improve

by Mohammed A A E


Not a very detailed course and very tough one, needs you to read a lot outside to fully grasp it

by Alexandre


Good introduction for real beginners. Someone that studied in the field would already know that.

by José G


An excellent course, however I found the organization of the different subjects a bit confusing.

by Avinash A


Contents are precise and well explained. For extra knowledge, you can always search on internet.

by sai


Pretty helpful . But 4 weeks is an awful lot of time for the content being taught in this course

by Shuwen Y


Great intro. Too bad you need to pay in order to get quiz answer or statement of accomplishment.

by Shahtaz R


Course contents were good but it had no instructor for the video. Robotic voice was too boring.

by Andrea M S


You will have to look up updates and a few how-tos on your own in order to complete the course.

by chintamani M


very good course with strong focus on building basic foundations and making concepts very clear

by Pritam D


I was having a problem with quiz 1 of week 2.

otherwise, the overall course really benefited me.

by Sarvesh P


It is a well made course. A bit basic for my liking. The content on Github was a bit confusing.

by Miguel B


Simple and very straight forward, I belive this is the best way to give a starting point course

by Lixian


I is not so difficult for a beginner, but I suggest it could be more information in the course.

by Linus M


I liked this course; however, it was hard to follow the videos sometimes with the robot voice!

by Souradeep S


A very good starting point, although I wish more practical content was covered in this course.

by abdulhai t


The voice of the robot was a bit annoying. but the overall of the course was perfect.

Thank You

by Aayush A


The robotic voice is kind of uncomfortable to study with and the captions are sometimes wrong.

by Justin K


The instruction is clear and easy to understand. I wish there was a way to move faster though.

by Giulio P


A good start into thinking lile a data scientist! Lectures are well thought-out and organized.