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

4.6
étoiles
33,067 évaluations
7,061 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 6,960 Avis pour Les outils du scientifique des données

par kheman g

5 août 2020

This is a very basic of the course where I learned so much about the different tools.

par John Y

8 juil. 2017

This could be wrapped into one of the other courses since its just environment setup.

par Ryan C G

17 janv. 2017

Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.

par Ankush K

31 mai 2017

A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.

par Drake O N

17 mars 2017

Good starter setup. Looking forward to the technical portion of the Specialization.

par Yash D

24 mars 2020

the course is good but the language is little bit hard because it is auto generated

par John P

24 août 2017

peer review was sporadic, had to redo several assignments based on language barrier

par LUIS E M H

12 nov. 2020

Una buena introducción de los fundamentos y herramientas para el trabajo con datos

par Snow L

17 nov. 2020

This was a good intro for novices, except the automated robot voice was annoying.

par João L

31 déc. 2019

It`s too introductory. The methodology with an IA voice it`s not comfortable yet.

par Ivan S

12 janv. 2016

highly recommended for newbs in any kind of development, otherwise waste of time.

par Sudarshan C

8 janv. 2016

The course was very limited, it should have been combined with Introduction to R.

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.