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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: 5126 - 5150 / 6,789 レビュー

by Brandon W


Good course. I felt the Git course went a bit too quickly (and I have experience with Git and Github).

by Sanidhya S


Great cousre for starting in the data science since, it contains the installation and usage of tools .

by Danylo K


From the begining of the course thats difficult to catch structure if you are new to the Data science.

by Russ L


More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!

by Aliaa M A


Brief and Excellent! Content great for anyone getting into software development not just Data Analysis

by santiago R


Nice Course. Important to have a general idea about what is necessary and also useful for data science

by Matthew S


great intro to stats concepts for data science and the programs. No real coding taught in this though.

by Victoria S


Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.

by Saul H


Really good. Just some minor issues with the automated voice and some typos. All in all great though.

by Nivedh R


Good, simple introduction to the specialization. Accompanying PDF slides would be great if clickable.

by Siert A


Very good introduction. It is a very basic, but much needed step. Setting up the tools you will need.

by 徐凡洁


nice course, but it would be better if the teacher can give us more details more about git and github

by Karthikeyan M


Interesting to know about Data Scientist and the tools. Eagerly waiting to go through the next lesson

by Sachin U


Very informative course. The Quiz questions however may not be necessarily be in the course content.

by Shanazar N


The only minus was that it was hard to catch automate sound. Except this the content is informative.

by Abhishek S S


very nice Course for understanding basics of data science and Rstudio also help to understand github

by Kok H W


Not a fan of automated videos. However, they provided a read-up following the videos so it was good.

by Omar K


The course is a nice set up for tools and environments that you need for other data science courses.

by Jordi A B


It's fine, but mabe quite easy. 4 Weeks are too much. This course could be done in a couple of days.

by Rakesh A K


It is helpful to grace my knwoledge and i get better knowledge from these course thank u very much.

by Kyaw W


Better u python instead of R programming.

and put guided for course material installing on Linux OS.

by Venkata R S R


The videos voice is a little different but overall the course content and explanation is very good.

by Kevin H


Certainly informative and set up very well. There wasn't a ton of content. This is a prep course.

by Priya D


Very thoughtful and well-executed course. Although, one of the professor's voice is not very clear.

by Cristina P


Very easy going, but I think week 3 has much information, maybe a step by step toturial might help.