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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: 32,637
Рецензии: 6,964

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

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.

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:

5251–5275 из 6,853 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

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.

автор: Diego G

5 февр. 2016 г.

Me quedó un poco vacio lo de GIT, tuve que averiguar más por mi mismo, pero esa es la idea

автор: 谢雳雳

19 авг. 2021 г.

Very good material!The machine generated course videos speak a little too fast to follow.

автор: Sameera K

26 февр. 2019 г.

This course appeared to have some irrelevant material, but perhaps it'll be useful later.

автор: Philip T

14 апр. 2016 г.

A good introduction to the subject area. It would be nice to see more real-life examples.

автор: Claudia Y P

24 февр. 2016 г.

Gives a good intro to Data Science and makes sure you get the essential tools downloaded.

автор: Enrique O

13 дек. 2020 г.

Excelente curso, bastante accesible para quienes no estén en el mundo de la informática.


3 нояб. 2020 г.

Course is full of good information. The instructions could be just a bit more detailed.

автор: Stanislav G

10 июля 2020 г.

There are some parts of the course especially on week 1 and 2 that are too introductory.