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Opiniones y comentarios de aprendices correspondientes a La caja de herramientas del científico de datos por parte de Universidad Johns Hopkins

4.6
estrellas
32,491 calificaciones
6,933 reseña

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 reseñas)
Introductory course
(1056 reseñas)

Principales reseñas

LR
7 de sep. de 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 de abr. de 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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6776 - 6800 de 6,822 revisiones para La caja de herramientas del científico de datos

por unteachable

17 de may. de 2016

By far to expansive for what you get. Anyway, thanks for the hint about swirl.

por Samuel M M

8 de may. de 2020

Horiible, me volvieron a cobrar un cuando ya lo había terminado. Una estafa

por Bernard

9 de sep. de 2020

This course was extremely exciting for me. I enjoy every bit of the course.

por Aung K

2 de dic. de 2016

Not worth 29$ considering you could take away very little from this course.

por Laura A G G

25 de sep. de 2020

No quiero terminar el curso porque no me gustó la metodología del curso.

por Pietro B

26 de ene. de 2017

I have no idea why you called it course, since there was nothing inside.

por reco g

4 de may. de 2020

I do not recommend the whole program for anyone, it is a waste of time.

por sameer

7 de jun. de 2016

waste of time. except for git and github ,nothing much is in it.

por Ashish P

27 de jul. de 2020

I didnt like the idea of automated videos. Doesnt works for me.

por Zach

24 de oct. de 2016

I was expecting 4 weeks of work, but it was more like 4 hours.

por Seong B P

14 de jul. de 2017

nothing special here... the real stuff begins next course...

por Rahul J

23 de oct. de 2019

u clearly didn't even explain the basics of r language

por ANIRUDHA K

6 de oct. de 2020

Its pretty much basic course. You might skip it.

por Andrey A

10 de mar. de 2016

This course must be a part of another courseres.

por Chaobin Y

8 de may. de 2017

too little materials. can finish in two nights

por Shoeib M S

6 de oct. de 2021

Automated videos ruined the fun of learning.

por Michael L

21 de abr. de 2020

The computer voice is really annoying.

por Eric L

6 de oct. de 2016

this course is very poorly structured.

por Amlan D

22 de may. de 2016

This should not be a course in itself

por wonjae K

20 de feb. de 2016

I think there are only few contents.

por Dakota V

19 de jul. de 2016

Didn't learn anything in this one.

por Justine H

4 de abr. de 2016

Not useful at all if it's audited.

por Sameh E

13 de sep. de 2021

I do not like the automated video

por Antonio S

6 de may. de 2016

Too expensive for what you get :(

por Joan S

4 de abr. de 2020

Audio not reliable. Format bad