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Opiniones y comentarios de aprendices correspondientes a The Data Scientist’s Toolbox por parte de Universidad Johns Hopkins

4.6
estrellas
26,578 calificaciones
5,538 revisiones

Acerca del Curso

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....
Aspectos destacados
Foundational tools
(243 revisiones)
Introductory course
(1056 revisiones)

Principales revisiones

LR

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.

SF

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.

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4301 - 4325 de 5,419 revisiones para The Data Scientist’s Toolbox

por Naman D D

May 12, 2020

The version did not match and caused a lot of problems.

por Salman H

Sep 22, 2018

Good course , it really encouraged me to learn further.

por FAN Y

May 31, 2017

Very nice course to lead you into the fooling subjects.

por Helene B

Feb 15, 2016

Excellent, but requires a bit more detail for Mac users

por Premchand k

May 10, 2020

Very nicely explained and lab exercises also very good

por Andrew J

Apr 14, 2020

Not very in depth, but then again, comes as advertised

por Chen N

Jan 19, 2019

Very nice and friendly introduction to data science :)

por Bill T

Mar 24, 2018

Good quick overview. Looking forward to going deeper.

por Rishabh J

Aug 22, 2017

I think the course should have covered more about git.

por aaron s

May 27, 2017

Good intro to the field. Can be a bit basic at times.

por Andre

Oct 12, 2016

Usefull introduction Course. Course material is clear.

por Aaron G Z F

May 22, 2020

Short and clear introduction to R, RStudio and GitHub

por Pulkit A

May 09, 2020

The Automated voice makes the course less interesting

por Aaina C

May 04, 2020

There could have been additional concepts in toolbox.

por Josie B

Nov 05, 2019

This course was very easy to follow. I learned a lot.

por Praveen K

Apr 03, 2019

i learned about git and git hub and installation of R

por amal k

Nov 15, 2017

so Introductory

needs more exercises, hands on, etc...

por Marco D

Sep 20, 2017

Great introduction but it made me want to learn more.

por Ning X

Mar 30, 2017

More code and figure would be good for understanding.

por Jean-Yves A

Mar 07, 2017

Good intro to basic tools. Would like more exercises.

por Yan J

Jan 20, 2017

This course did give me some useful tool information.

por Christopher B

Jan 03, 2017

A good checklist for the basic tools of data science.

por Deleted A

Oct 22, 2016

I felt I learn some basics but nothing new or indepth

por John-Paul B

May 08, 2016

Good introduction. Good to learn the way it works....

por Nancy W

Apr 12, 2016

It's a good start to the data science specialization.