Chevron Left
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: 29,845
Рецензии: 6,369

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:

5076–5100 из 6,228 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Ryan Y

12 янв. 2016 г.

Easy to follow and the discussion board is active.

автор: Sonia C C

9 авг. 2020 г.

Starting from cero. Very useful for principiants.

автор: Vishnu V

15 июля 2020 г.

Gives insight about data science and it's process

автор: Ayman A

11 июня 2020 г.

good start as a basic information in data science

автор: YATIN Y

15 мая 2020 г.

a very good kick start to the data science course

автор: Ejurothu p s s

29 апр. 2020 г.

you can learn very easily and implement the basis

автор: Tod L

14 окт. 2018 г.

very quick course, can complete in about 2 hours.

автор: thulasi k t

19 апр. 2018 г.

the slides and audio of the course can be better.

автор: Euclinton A F

5 нояб. 2017 г.

Very motivational to expand one´s learning paths.

автор: MeiTzy K

11 апр. 2017 г.

A good introduction to the world of Data Science!

автор: Michael

24 мар. 2017 г.

Good overview... ready to get to the real work...

автор: Pavan T

26 янв. 2017 г.

good to get the basic setup of R and git in place

автор: Jayesh M

28 сент. 2020 г.

Easy course but I don't like the computer voice.

автор: Vaishali R

9 сент. 2020 г.

physical teaching by guider will be more helpful

автор: Sagar J

6 янв. 2019 г.

Good startup course for what DS would look like.

автор: Steven T

22 мар. 2018 г.

It is a good lead into the R Programming course.

автор: Korede O

5 февр. 2018 г.

So far so good. I am keeping my fingers crossed.

автор: Mauro N A G

13 окт. 2017 г.

Nice introduction to Data Science analysis tools

автор: Steve H

18 июня 2017 г.

Basic but fundamental for the following courses.

автор: bhagyashree b

14 дек. 2016 г.

really interesting to study and learn new things

автор: David C

15 авг. 2016 г.

Good introductory course for the specialization.

автор: Caesar R A T

12 авг. 2020 г.

The text is too fast if you open in mobile apps

автор: Christine k

27 апр. 2020 г.

good , looking for advanced techniques to learn

автор: Виктория

9 янв. 2020 г.

Not vary informative but steel good as overview

автор: Arnab M

27 сент. 2019 г.

Pretty good but to some extent over-simplistic.