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Avis et commentaires pour d'étudiants pour Les outils du scientifique des données par Université Johns-Hopkins

4.6
étoiles
26,578 évaluations
5,538 avis

À propos du cours

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....
Points forts
Foundational tools
(243 avis)
Introductory course
(1056 avis)

Meilleurs avis

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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5026 - 5050 sur 5,418 Avis pour Les outils du scientifique des données

par Mamar H

Jun 25, 2016

A little bite long regarding the concepts number developped in this course.

par Ian W

Aug 30, 2017

Easy course. Everything covered in this course can be found easily online.

par Mohamed A E M

Jun 20, 2017

Nice introduction but not many new ideas i had recive, but thank you team.

par Hamza T

Aug 09, 2016

A great course. But I still think there is a lot of room for improvement.

par MEHEDI H

Jul 01, 2020

Need more friendly lecture, that's why we can understand topics easily..

par Vishesh k

Jun 16, 2018

Sound quality for every lecture is very disappointing ,very poor quality

par Abhey K

May 27, 2017

A good introduction to data science and the associated issues around it.

par Perruchoud A

Aug 13, 2016

Extremely useful info, but the material is too shallow to be satisfying.

par Daniel R

Feb 07, 2016

It is a good course, however, I would have liked deeper knowledge in git

par caio l

Sep 12, 2017

Really basic, it's only necessary if you have no knowledge in the area.

par Mitchell S G

Nov 12, 2016

Audio on videos was sometimes unclear. Course content was interesting.

par Nate D S

Jun 26, 2017

Mostly auditory discussion of concepts. Not so much visual or hands-on

par Aditya C

Jan 05, 2019

Very basic...One must do the entire specialization to make any sense.

par Rupert

Aug 31, 2017

Very basic. Probably unnecessary for anyone with some experience in R

par isha v

Aug 12, 2017

Please include some optional Quizzes/Assignments also for practising.

par Prasen M

Apr 17, 2017

Very basic introductory course. Looking forward to the other modules.

par Juliana N

May 12, 2016

The instructions for using git and git hub left a lot to be desired.

par Revanth T

Feb 15, 2016

Very Basic Course. Doesn't require the time that was allotted to it.

par Matthew K

Mar 11, 2016

Probably more useful for someone with no background in programming.

par Arslan R

Feb 09, 2019

good for introduction. The sound quality is low. Can be shortened.

par TOKPLONOU D R

Nov 22, 2017

Ne présente qu'un ensemble restreint des outils du data scientist.

par rotem n

Sep 13, 2016

too easy,

i wish we had more things do submit so we will learn more

par Haojun S

Sep 12, 2016

The introduction of how to use github is undetailed in my opinion.

par Rakesh

Apr 10, 2016

Too simple. Personally feel this can be clubbed with R Programming

par Kalle H

Oct 11, 2017

OK introduction to specialisation but now very useful on its own.