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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

4.6
звезд
Оценки: 32,996
Рецензии: 7,048

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

LR

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.

SF

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.

Фильтр по:

5326–5350 из 6,945 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Shreeraam

31 июля 2019 г.

A great introduction to the necessary tools to kickstart data analysis through R programming.

автор: Anirudh J

29 июля 2018 г.

Is a great course for beginners.Just wish it would have been designed to be more interesting.

автор: Alexis R

11 нояб. 2017 г.

Excellent. Can you provide links of your PPT. The ones in the pDF are not clickables. Thank's

автор: GIBOIRE J

19 окт. 2021 г.

P​ractical and accurate, concepts and procedures are introduced as we need them to progress.

автор: Xin G

25 сент. 2021 г.

Those tools are too basic which only helps newbies to warm up. However, it is quite detailed

автор: Deleted A

22 окт. 2020 г.

In my opinion , the real person sound can be better to consantrate to the lecture deeply. :)

автор: Rejuwan S

10 сент. 2020 г.

It will be good if these guys describe more about R markdown and github otherise it is good

автор: Mari G F

24 мар. 2018 г.

Not a lot of practical application, but good conceptual intro with a little bit of practice.

автор: Christian L

26 нояб. 2017 г.

Good presentation of information and stressed the importance of "hacking" and self-learning.

автор: Paresh D

28 окт. 2017 г.

push and pull of repositories should have been explained more clearly,rest course was great

автор: Chris D

3 июня 2017 г.

A little incomplete as a standalone course. Really forces you to pay for additional courses.

автор: Elizio R d A

6 мар. 2016 г.

The course is great, I just think the course should has a little more content to be perfect.

автор: Sanele K

13 мар. 2021 г.

A very good course that will well prepare you for future courses you'll take in the future.

автор: Saad B M A

27 авг. 2020 г.

Amazing experience I got from this course. It is a perfect intro to the data science world.

автор: Tanya S 2

18 июля 2020 г.

Good content. Easy Accessibility. Clear and precise learning. loved learning this course :)

автор: Ben W

17 июня 2020 г.

Good introduction to the tools that will be used in the rest of the courses in this series.

автор: Hongxuan Y

5 февр. 2020 г.

This course would be quite helpful for those who step into data science for the first time!

автор: Aman K

5 июня 2018 г.

Good course, can be better with some small tweaks here and there otherwise well structured.

автор: Nana A B

2 июня 2018 г.

This course definitely gave me a great overview of what to expect in the data science field

автор: Matheus P S

12 февр. 2018 г.

Como curso introdutório das ferramentas muito bom. Achei um pouco longo desnecessariamente.

автор: Changlin Z

28 авг. 2017 г.

very good starting point for people does not have any background in stats and R programming

автор: ATHARVA G

7 июня 2020 г.

peers reveiw should be removed rather than that something other assingment should be given

автор: Samin Y

26 апр. 2020 г.

The course was super easy but super effective. Thank COURSERA for this amazing experience.

автор: Matt K

10 июня 2018 г.

Instructors could do more demonstrations to make things more clear. Other than that, fine.

автор: Gautam J

22 мая 2018 г.

This is course teaches the basics and installation only but is very good for that purpose.