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

4.6
étoiles
33,005 évaluations
7,051 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

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.

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.

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6501 - 6525 sur 6,947 Avis pour Les outils du scientifique des données

par Jannatul N

22 juin 2020

i felt like this is so robotic. and in many cases i needed to learn from YouTube

par Antonio M

5 déc. 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

par Caleb J

25 févr. 2018

Not a lot of good information. Just introducing you to the programs being used.

par عبدالحميد ع ع

29 nov. 2017

all the content of the course could be a week of some course of specialiazation

par JiHong K

21 oct. 2017

Too simple and most contents are overlapped (already covered) in other sessions

par fengming s

17 mars 2016

Upgrade to submit? That's meaningless. Especially for this fundamental course.

par Max

2 oct. 2017

It was good as an introduction , meanwhile its contents are little for 4 weeks

par Calvin K

26 févr. 2016

It's way to easy to be a separate course. It should be part of R Programming.

par Andre A

27 mai 2020

Conteúdo é bom, mas o fato de ser dado por um robô torna a experiência ruim.

par Marc m

10 nov. 2019

This first toolbox module is all about setting up. Not much programming yet.

par Charlie R

3 juil. 2018

Decent overview, gave me some things to google. No real substance as of yet.

par Amr A

16 juin 2017

I think this course needs to be much better in terms of adding more material

par Doug W

29 déc. 2016

Good overview. Helpful introduction to topics covered in the specialization.

par Nikolai K

6 nov. 2017

A good Introductory lesson, but for advanced students it is not nessesarry!

par Divyansh M T

28 juil. 2017

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

par Mamar H

25 juin 2016

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

par Ian W

30 août 2017

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

par Mohamed A

20 juin 2017

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

par Hamza T

9 août 2016

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

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