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: 28,708
Рецензии: 6,074

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

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.

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.

Фильтр по:

4801–4825 из 5,958 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Hao W

Aug 01, 2020

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

автор: Premchand k

May 10, 2020

Very nicely explained and lab exercises also very good

автор: Andrew J

Apr 14, 2020

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

автор: Chen N

Jan 19, 2019

Very nice and friendly introduction to data science :)

автор: Bill T

Mar 24, 2018

Good quick overview. Looking forward to going deeper.

автор: Rishabh J

Aug 22, 2017

I think the course should have covered more about git.

автор: aaron s

May 27, 2017

Good intro to the field. Can be a bit basic at times.

автор: Andre

Oct 12, 2016

Usefull introduction Course. Course material is clear.

автор: Diego V

Jul 22, 2020

I wish heard a human voice, but I can understand why.

автор: Aaron G Z F

May 22, 2020

Short and clear introduction to R, RStudio and GitHub

автор: Pulkit A

May 09, 2020

The Automated voice makes the course less interesting

автор: Aaina C

May 04, 2020

There could have been additional concepts in toolbox.

автор: Josie B

Nov 05, 2019

This course was very easy to follow. I learned a lot.

автор: Praveen K

Apr 03, 2019

i learned about git and git hub and installation of R

автор: amal k

Nov 15, 2017

so Introductory

needs more exercises, hands on, etc...

автор: Marco D

Sep 20, 2017

Great introduction but it made me want to learn more.

автор: Ning X

Mar 30, 2017

More code and figure would be good for understanding.

автор: Jean-Yves A

Mar 07, 2017

Good intro to basic tools. Would like more exercises.

автор: Yan J

Jan 20, 2017

This course did give me some useful tool information.

автор: Christopher B

Jan 03, 2017

A good checklist for the basic tools of data science.

автор: Deleted A

Oct 22, 2016

I felt I learn some basics but nothing new or indepth

автор: John-Paul B

May 08, 2016

Good introduction. Good to learn the way it works....

автор: Nancy W

Apr 12, 2016

It's a good start to the data science specialization.

автор: Ajendra K N

Jul 01, 2020

It was nice course. helped me understand statistics.

автор: abdulai

Jan 22, 2020

Direct contact and references could have helped more