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Вернуться к Набор инструментальных средств для специалистов по обработке данных

Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

Оценки: 31,502
Рецензии: 6,696

О курсе

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....
Основные моменты
Foundational tools
(рецензий: 243)
Introductory course
(рецензий: 1056)

Лучшие рецензии

14 апр. 2020 г.

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.

7 сент. 2017 г.

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.

Фильтр по:

6401–6425 из 6,552 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Scott T

5 янв. 2016 г.

Didn't provide much info beyond the basics of git. Could have skipped this one.

автор: Patrick B

30 июня 2016 г.

Not sure this should be a course that is charged ....

on to the next one now.

автор: Anna D

4 мар. 2018 г.

It's great to learn how to use GitHub but this hardly qualifies as a course.

автор: Dennis W

21 февр. 2016 г.

Very introductory. This material could have been compressed into 1 week.

автор: Arun R

7 янв. 2019 г.

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

автор: Hugo R

28 сент. 2017 г.

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

автор: HARSH K S

27 мая 2020 г.

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

автор: Neil J

16 июня 2016 г.

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

автор: Ng J

18 мар. 2016 г.

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

автор: Rose G

11 июля 2019 г.

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

автор: Amir N

21 июня 2017 г.

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

автор: Kristin N

7 июня 2016 г.

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

автор: James C

7 янв. 2018 г.

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

автор: Matthew C

30 июня 2017 г.

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

автор: Martin M

23 сент. 2020 г.

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

автор: Gustavo M

30 дек. 2016 г.

Only informative. Not worth it outside the specialization.

автор: Freddie K

12 авг. 2016 г.

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

автор: Marek D

7 мар. 2016 г.

Nice introduction but actually very little content

автор: Shyam D

27 июня 2019 г.

exercises given don't follow the course line

автор: guruprasad d

11 апр. 2020 г.

Not able to get a start with Robotic Voice.

автор: Rebecca P

27 июня 2016 г.

This course is not very "beginner friendly"

автор: Selina H

12 апр. 2016 г.

It's more a preview than an actual class.

автор: Hassan A

4 окт. 2018 г.

I think it was too long for such content

автор: Binu E

5 апр. 2016 г.

This should not be a course of its own.

автор: Max C

2 июня 2016 г.

Too basic, this should just be a read