Chevron Left
Volver a The Data Scientist’s Toolbox

Opiniones y comentarios de aprendices correspondientes a The Data Scientist’s Toolbox por parte de Universidad Johns Hopkins

31,353 calificaciones
6,667 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

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.

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.

Filtrar por:

6376 - 6400 de 6,523 revisiones para The Data Scientist’s Toolbox

por Arun R

7 de ene. de 2019

Very basic - Did not teach all the necessary things required with Git.

por Hugo R

28 de sep. de 2017

Isn't very usefull, I'm impatient to start the R programming courses.


27 de may. de 2020

This course is not much interactive because it includes boots voice.

por Neil J

16 de jun. de 2016

Extraordinarily basic. Entire thing can be done in about two hours.

por Ng J

18 de mar. de 2016

Might be useful for total newbies, but this was very simple for me.

por Rose G

11 de jul. de 2019

Not that interesting, but gives you the basis to install R and git

por Amir N

21 de jun. de 2017

A little bit vague, could use more practice using git and git hub.

por Kristin N

7 de jun. de 2016

Jumps around, doesn't put anything into "real world" examples.

por James C

7 de ene. de 2018

Very high-level discussion of data science and useful tools.

por Matthew C

30 de jun. de 2017

Too easy and doesn't really prepare you for the next course.

por Martin M

23 de sep. de 2020

Content is ok, but I really do not like the computer voice.

por Gustavo M

30 de dic. de 2016

Only informative. Not worth it outside the specialization.

por Freddie K

12 de ago. de 2016

Very shallow overview, not really a full course I'd say.

por Marek D

7 de mar. de 2016

Nice introduction but actually very little content

por Shyam D

27 de jun. de 2019

exercises given don't follow the course line

por guruprasad d

11 de abr. de 2020

Not able to get a start with Robotic Voice.

por Rebecca P

27 de jun. de 2016

This course is not very "beginner friendly"

por Selina H

12 de abr. de 2016

It's more a preview than an actual class.

por Hassan A

4 de oct. de 2018

I think it was too long for such content

por Binu E

5 de abr. de 2016

This should not be a course of its own.

por Max C

2 de jun. de 2016

Too basic, this should just be a read

por Adarsh R

29 de abr. de 2020

should not have been a 4 week course

por Xuwei L

22 de sep. de 2016

a bit too simple to be a paid course

por Rami A

29 de mar. de 2016

Really poor quality of the material.

por Grégoire M

31 de ago. de 2017

A little bit too slow and too easy