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

4.6
étoiles
33,151 évaluations

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

7 sept. 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

14 avr. 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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6551 - 6575 sur 6,979 Avis pour Les outils du scientifique des données

par Rajendra V

26 févr. 2022

Computer voice over is not a great experiment; everything else is great!

par MEHEDI H

1 juil. 2020

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

par Vishesh k

16 juin 2018

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

par Abhey K

27 mai 2017

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

par Perruchoud A

13 août 2016

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

par Daniel R

7 févr. 2016

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

par caio l

12 sept. 2017

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

par Mitchell S G

12 nov. 2016

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

par Nate S

26 juin 2017

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

par Aditya C

4 janv. 2019

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

par Rupert

31 août 2017

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

par isha v

12 août 2017

Please include some optional Quizzes/Assignments also for practising.

par Prasen M

17 avr. 2017

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

par Juliana N

12 mai 2016

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

par Revanth T

15 févr. 2016

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

par Matthew K

10 mars 2016

Probably more useful for someone with no background in programming.

par Arslan R

8 févr. 2019

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

par Rustick T

22 nov. 2017

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

par rotem n

13 sept. 2016

too easy,

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

par Haojun S

12 sept. 2016

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

par Rakesh

10 avr. 2016

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

par Kalle H

11 oct. 2017

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

par Luca C

14 nov. 2016

Not really specific, just a broad indtroduction to data analysis.

par Chris B

25 août 2017

I was a fan but I loathe the fact you cannot review the quizzes.

par Christian C

1 mars 2017

Good for a beginners course, could be a little more challenging.