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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



Sep 08, 2017

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.


Apr 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.


The Data Scientist’s Toolbox: 301 - 325 / 4,217 レビュー

by Jaisy R N

Nov 17, 2017

Very well narrated with needed information. Here and there some 30 sec video is repeated. Otherwise a great course to know whether its what we want to do pursue.

by Gabriel G

Jul 12, 2017

Excelent introduction. I like how you need to explore the content to do the last part (pushing into GitHub). Great illustration on how to learn about these tools

by Mohammad A

May 08, 2018

The course is smooth and exciting and the lecturers know what they are doing very well , I highly recommend this course for everybody interested in Data Science

by Even H

Aug 23, 2017

I fell very good with this training in fact it is very well explained an in a way a person like me ( non English native language ) easy to catch the instruction

by Abhishek B

Jun 04, 2017

Course provides amazing understanding of data and how it works in real world and what importance it has in core areas like healthcare and many other businesses.

by Denise O

Jan 24, 2016

This was a great starter for me. I have very little experience with Data Science, especially the practical work. This provided the foundation I was looking for.

by Camila K D N

Nov 28, 2018

Un buen curso básico para entrar al mundo de la programación. Te enseñan a usar la plataforma de GitHub, descargar R y usar comandos en la Terminal de una Mac.

by Miguel G G

Oct 15, 2018

Its level of difficulty and simplicity is extraordinary well balanced. Totally recommend this course and probably will recommend the whole especialisation too!

by Melissa K B

Aug 31, 2018

Good as a first course. Breaks up the content so that you can understand straight out of the gate if you will have an issue with the tools and software or not.

by Martin D

Aug 03, 2017

Interesting and straightforward introduction to main concepts of data science. Gives comprehensive outlook on complexity of working with data and analyzing it.

by Madhup K T

Jul 16, 2017

Best course for beginners, Recommend it to everyone. Thanks a lot for the efforts of the mentors that they put in to create this great course for introduction.

by Matthew N

May 21, 2016

Simple straight forward. It did push me enough to be interesting but not enough to make me give up because it was over my head. Nice step-by-step instructions.

by Brian L

Mar 18, 2016

This was a great introduction to data science. It provides an overview of the science in general, and the course provides all the tools needed to move forward.

by Fabrice C

Jan 15, 2016

Excellent course, well organized and very pedagogic. Requires homework and motivation, but really adapted to someone not in the field, thanks to the teachers !

by Salvador B S

Jul 30, 2018

The first course of the Data Science Specialization is relatively easy, but reviews and puts in place everything that will be needed in the following courses.

by megan g

Mar 23, 2018

This course is very interactive and user friendly for someone who is not a programmer and has limited programming language experience. I am very happy so far!

by Lalit O

Aug 18, 2017

It was very well explained. proved very helpful for me to understand the basics of what a data scientist needs to know about data, data science and analytics.

by Kathleen H

Dec 18, 2016

Really enjoyed the course and Jeff Leak's clear presentation. Feel ready and excited to go and learn even more about Data Science starting with R Programming

by Yong H

Oct 14, 2017

As the first course of data science, I feel it is very clear and attracts me to do further study, I cannot wait to continue my journey of data scientist now.

by Pamela A

Jan 23, 2017

I like how the course is structured. I learned a lot. I was able to set up a github account and download R, R studio and all the tools I need to get started.

by Zachary W

May 03, 2016

Great introduction to the different statistical software packages, Git/Github, intro to data science terminology, and basic command functions to get started.

by Diana M

Dec 13, 2017

This course was a quick and easy introduction to the Data Science Specialization. I am looking forward to taking the other courses related to Data Science.

by Mathew K

Dec 29, 2019

Learned a lot of really useful stuff about version control with GitHub that I had not encountered in my PhD training , but that seems crucial for industry.

by suhair

Dec 24, 2019

It was an informative experience, learned loads about basics of Data Science and the introduction to R was really helpful especially for beginners like me.

by Manav S

Nov 14, 2019

It's the best course i have come across. If someone want to become a data analyst, this is the true platform for him/her to show what he/she is capable of.