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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: 32,459
Рецензии: 6,925

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:

5226–5250 из 6,814 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

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.

автор: KATHLEEN M B

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.

автор: michael s

10 февр. 2020 г.

Great course to get started with R Studio and Version control that actually makes sense.

автор: Soumyadeep B

7 июня 2018 г.

It would be helpful if the courses on git are explained in a bit more detail

Thank You :)

автор: Deepti T

6 апр. 2017 г.

Very Good for basic understanding of Data Science and the tools used by Data Scientists.

автор: Cassandra S

25 мая 2016 г.

Straightforward, interesting, and easy to follow. I wish it were a bit more challenging.

автор: Sara H

24 нояб. 2018 г.

Gitbash is a little challenging, but Googling questions is helpful for troubleshooting.

автор: Ajendra S

5 апр. 2018 г.

Very basic stuff. Creator only focused on creating environment of the upcoming courses.

автор: Navroop K

17 мар. 2018 г.

A good introduction to the tools. Assignments are very helpful in learning the concepts

автор: Parker C

25 окт. 2017 г.

It was pretty easy, but essential to the rest of the specialty so I think it was great.

автор: Swagatam M

1 апр. 2017 г.

Great course, you get to learn about the tools used in the Data Science specialisation.