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

4.6
звезд
Оценки: 29,285
Рецензии: 6,230

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

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.

SF

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:

4726–4750 из 6,100 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Brett C

Jan 26, 2016

Walks you step by step getting you setup and familiar with the core software.

автор: Michael Y A

Aug 25, 2020

This is my first ever online course and I have very little to compare it to.

автор: Sumedha B

Jul 17, 2020

Great course for beginners to learn basics of Installing R and using GitHub!

автор: Subhash B D

Feb 12, 2020

Really good for Beginners who are interested in learning ML related tools...

автор: Yuting Y

Jul 16, 2018

give me a basic idea. course quite easy, but need to learn more to be useful

автор: Amelia L

Sep 14, 2016

Helpful introduction to people who have little experience with GitBash and R

автор: Joel M

Jun 15, 2020

This is a really good course to begin with. I highly recommend this course.

автор: Kārlis L

Aug 22, 2017

Good basics, but 4 weeks is way too long for such small amount of new info.

автор: Michael M

Aug 14, 2017

Good class. Need to update the content though. Same from at least two years

автор: André G d L M

Nov 08, 2016

Com o curso conseguir aprender muito e hoje posso colocar em meu dia a dia.

автор: Robert D

Oct 19, 2016

Good introductory course to get started on the Data Science Specialization.

автор: Thierry L B

Aug 08, 2016

Good and relatively easy course. Perfect to establish personal confidence.

автор: Layla M

Jul 26, 2020

I've learned a lot taking this course and I look forward to learning more.

автор: Shivam K

Sep 23, 2019

course is pretty good but the accent used by instructer should be improved

автор: Zbigniew B

Oct 11, 2017

A little basic but a good introduction for the rest of the specialization.

автор: Souvik R

Aug 14, 2017

Needed. If nothing else at least to know what software we need to install.

автор: Natalie K

Apr 02, 2017

Very introductory - can finish the class well before the 4 weeks are over.

автор: Supriya P

Oct 17, 2016

Informative. Making it more elaborate in terms of coding would be helpful.

автор: Rafael B S

Sep 27, 2016

This is a basic course but since this is what it is design to be it is ok.

автор: Nishant k

Dec 19, 2017

Its a good starting point for Data Science. Expected more content though!

автор: Misbah A

Jul 22, 2017

I have really Enjoyed this course and Really Happy to Get the certificate

автор: anand v

Jun 19, 2017

Detail tutorial on basic of Data scientist tools and good start up course

автор: Yolene D

Apr 06, 2017

Great way to get started on the Data Science course with the right tools.

автор: Irakli N

Jul 11, 2016

It was good, well-executed course, but it was too basic. I expected more.

автор: Abeduddin B

Sep 22, 2020

if live instructor leads the class would be much helpful than auto video