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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



Apr 15, 2020

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.


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.


The Data Scientist’s Toolbox: 451 - 475 / 5,726 レビュー

by William C T

May 17, 2016

I am delighted I took this course. It gave me confidence to continue in the full certification program. I was able to learn the information stated in the syllabus.

by Surekha P

Apr 22, 2020

The way the course depicted syllabus and classes and tests is awesome. It is much easier and understandable.thanks for such a It was one of my best ones.

by Hrucha M

Apr 20, 2020

Good course with plenty of information on the Toolbox required to be a Data Scientist. Also, good for getting to know your toolbox and how to tinker around with it!

by Arthur S C

Oct 28, 2019

O curso me deu uma perspectiva que diversos outros não me deram, que é a quantidade de métodos estatísticos que podem ser utilizados para resolver um problema real.

by Kenichi A

Feb 17, 2019

I liked the fact that only nominal numbers of tools are explained with clear reasons. So, I can trust the recommendations and spend my time on learning these tools.

by Dawn M G

May 20, 2017

Great basic information (or review) of the basics needed for data science. The short videos allowed me to break up the weekly work into easily manageable segments.

by Renato L C

Dec 19, 2019

¡Excelente Curso para introducir los conceptos básicos de Data Science y aprender a utilizar RStudio y Github. Muy Recomendable para quienes parten en esta materia

by Zack R

Jun 06, 2017

Good starting block for those who are new to sharing software development. I'm a tactile learner and it enabled me to do that as I progressed through the courses.

by Rosemae A

Feb 01, 2016

The videos were thorough and clear. This made learning easier. I also appreciate the informational tid bits about the data science field, including the history. :)

by Yewen Z

Jul 03, 2020

Very fundamental but also covers essential materials. Friendly level of difficulty which motivates you to learn. Recommend to everyone who is new to Data Science.

by Julie M

Jan 28, 2018

Good general overview and introduction to the command line interface, Git and GitHub. The quick overview of types of data science questions was very informative.

by Nikita N

Jun 06, 2020

The course is very clearly structured, and it provided an excellent start into the courses that follow within the specialization. Love the automated videos, too!

by Taher

Apr 14, 2020

thanks for this course it is a good step for the start from scratch move and it will help to keep going after this start throw R Language and Data science track.

by Laura J G W

Jan 23, 2019

Very insightful and a good place to start by having an understanding of the tools involved in Data Science, looking forward to the next step which is learning R.

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.