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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: 31,353
Рецензии: 6,667

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:

5151–5175 из 6,522 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: UMANG A

24 мая 2020 г.

I prefer non-automated video lectures over these automated lectures.

автор: Paul F G

6 янв. 2019 г.

Very good, concise overview of the burgeoning field of Data Science.

автор: Bernardo L

6 авг. 2018 г.

Quick & simple (yet useful) introduction to data science principles.

автор: catherine s

25 июня 2017 г.

I enjoyed the course and the learned some useful skills. Thank you.

автор: Sachin G

24 мая 2017 г.

learn what basics you need to start as a data scientist. Really help

автор: Reinier F

24 мар. 2017 г.

Excellent introduction... Cant wait to get going on the next course.

автор: Tena

9 мар. 2017 г.

Great course, but maybe there should be a better explanation of git.

автор: Deleted A

26 сент. 2016 г.

It is a good introduction to the Data Scientist Tools and processes.

автор: Richard T

17 февр. 2016 г.

Clear and concise. Can be completed in a very short period of time.

автор: Jeffrey L

1 февр. 2016 г.

Just shows you how to install rstudio and github, rather slow-paced.

автор: Ethan J T

15 янв. 2021 г.

Robot voiceover bugs sometimes, making lessons difficult to follow.

автор: Scipione S

25 сент. 2020 г.

I did not appreciate the robotic voice, it is a little bit annoying

автор: Robert M

16 мая 2020 г.

So far this has been a very well laid out course. extremely pleased

автор: Karla P V d O

28 апр. 2020 г.

I understood the reason why is a "machine voice" however, is boring

автор: Deleted A

17 окт. 2019 г.

Good start for someone trying to understand data science as subject

автор: Mynu a s

21 авг. 2019 г.

Need to explain more command and details of other option from tool

автор: Lucicleyton H d F

2 июля 2018 г.

Very good introduction to the tools widely used by data scientists.

автор: Sergio V

20 февр. 2017 г.

Great experience so far, this is my first time in an online course.

автор: Tejaprakash S

14 февр. 2017 г.

course is good... need to include video on Rstudio setup on windows

автор: Abin.K.Raj

1 февр. 2017 г.

Excellent primer course....just the entree...harder stuff is coming

автор: Alexandros K

23 окт. 2016 г.

Nice intro but i think only if you want the whole specialization.

автор: Akshit A

24 сент. 2016 г.

A really basic course many programmers know all about this already.

автор: Yhael S J C

4 июля 2020 г.

Interesante y algo para empezar que debería ser básico al aprender

автор: Ramkishore R l

11 июня 2020 г.

better experience and looking forward for more and more knowledge.

автор: Akshay N

24 янв. 2020 г.

Basic course. Didn't really enjoy the automated voice from Polly.