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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: 29,454
Рецензии: 6,272

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


Sep 08, 2017

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.


Apr 15, 2020

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:

4826–4850 из 6,141 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Bernardo L

Aug 06, 2018

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

автор: catherine s

Jun 25, 2017

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

автор: Sachin G

May 24, 2017

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

автор: Reinier F

Mar 24, 2017

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

автор: Tena

Mar 09, 2017

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

автор: Deleted A

Sep 26, 2016

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

автор: Richard T

Feb 18, 2016

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

автор: Jeffrey L

Feb 01, 2016

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

автор: Scipione S

Sep 25, 2020

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

автор: Robert M

May 16, 2020

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

автор: Karla P V d O

Apr 28, 2020

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

автор: Deleted A

Oct 17, 2019

Good start for someone trying to understand data science as subject

автор: Mynu a s

Aug 21, 2019

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

автор: Lucicleyton H d F

Jul 02, 2018

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

автор: Sergio V

Feb 21, 2017

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

автор: Tejaprakash S

Feb 14, 2017

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

автор: Abin.K.Raj

Feb 01, 2017

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

автор: Alexandros K

Oct 23, 2016

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

автор: Akshit A

Sep 24, 2016

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

автор: Yhael S J C

Jul 04, 2020

Interesante y algo para empezar que debería ser básico al aprender

автор: Ramkishore R l

Jun 11, 2020

better experience and looking forward for more and more knowledge.

автор: Akshay N

Jan 24, 2020

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

автор: Siddharth J

Jul 12, 2019

It is a good course. Can include some more topics and explanation.

автор: Waldemar T

May 23, 2017

Great introduction of subject matter. I'm excited to participate!!

автор: Giovanna A G

Aug 03, 2016

This course provides very nice and useful tools for data analysis!