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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: 29,981
Рецензии: 6,392

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

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.

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.

Фильтр по:

5026–5050 из 6,249 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Barnali B

16 сент. 2020 г.

I learn lots of new subject and topic through this course

автор: PARIDHI C

19 мая 2020 г.

It teaches the very basics of R Studio and Github Account

автор: Teye E T

2 мар. 2020 г.

Good, simple and understandable but not too comprehensive

автор: Steve A

8 сент. 2019 г.

Wonderful eye opener. Never used github until now. Thanks

автор: SACHIN P

19 июля 2019 г.

Content is a quality content, but not a quantity content.

автор: Diogo M

14 мая 2018 г.

Muito bom o curso, para uma introdução a ciência de dados

автор: Darien B

5 нояб. 2017 г.

Simple, but the simplicity was helpful in getting started

автор: Carlos S P

12 февр. 2017 г.

Great course to learn the nuts and bolts of Data Science.

автор: Pablo N B

26 июля 2020 г.

¡Buen curso para iniciarse en el mundo del Data Science!

автор: Jeff M

8 мая 2020 г.

Very helpful introductory course for RStudio and GitHub.

автор: Colin S

26 янв. 2020 г.

A lot of throat clearing, but I feel ready to keep going

автор: Harshal S

12 апр. 2018 г.

Very good course and useful for Data Science enthusiast.

автор: Alfonso D

25 февр. 2017 г.

Good introduction. The rest of the speciality is harder.

автор: Jessieca P L

29 нояб. 2020 г.

It was great but I wish there was an actual instructor.

автор: Jeff N

19 окт. 2020 г.

Intro to some of the basic tools -- RStudio and Github.

автор: Mohamed R M A I

26 сент. 2020 г.

Very useful, simple explanation, take you step by step.

автор: Agus P A

4 июня 2020 г.

A good course for a first step in learning data science

автор: Naman D D

12 мая 2020 г.

The version did not match and caused a lot of problems.

автор: Salman H

22 сент. 2018 г.

Good course , it really encouraged me to learn further.

автор: FAN Y

30 мая 2017 г.

Very nice course to lead you into the fooling subjects.

автор: Helene B

15 февр. 2016 г.

Excellent, but requires a bit more detail for Mac users

автор: Hao W

1 авг. 2020 г.

It is good. However the git installation is out dated.

автор: Premchand k

10 мая 2020 г.

Very nicely explained and lab exercises also very good

автор: Andrew J

13 апр. 2020 г.

Not very in depth, but then again, comes as advertised

автор: Chen N

19 янв. 2019 г.

Very nice and friendly introduction to data science :)