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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: 26,328
Рецензии: 5,477

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:

4301–4325 из 5,357 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Pavan T

Jan 26, 2017

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

автор: Sagar J

Jan 07, 2019

Good startup course for what DS would look like.

автор: Steven T

Mar 22, 2018

It is a good lead into the R Programming course.

автор: Korede O

Feb 05, 2018

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

автор: Mauro N A G

Oct 13, 2017

Nice introduction to Data Science analysis tools

автор: Steve H

Jun 18, 2017

Basic but fundamental for the following courses.

автор: bhagyashree b

Dec 14, 2016

really interesting to study and learn new things

автор: David C

Aug 15, 2016

Good introductory course for the specialization.

автор: Christine k

Apr 27, 2020

good , looking for advanced techniques to learn

автор: Виктория

Jan 09, 2020

Not vary informative but steel good as overview

автор: Arnab M

Sep 27, 2019

Pretty good but to some extent over-simplistic.

автор: Anirudh B

Feb 11, 2019

Perfect way to begin your data science journey.

автор: João P F L

May 02, 2018

It was easy, because I already know some things

автор: Sophia B

Feb 09, 2018

Good, final exam was more indepth than lectures

автор: Jorge D F D

Jun 09, 2017

A little slow paced, but overall, great course!

автор: Dayana N

Apr 14, 2017

More exercises should be given, not just theory

автор: Derek N

Jan 27, 2017

Great class. Nice introduction to Data Science.

автор: Amrita M

Jul 05, 2016

Good course for starters. Can be more detailed.

автор: Marek Z

Jul 24, 2019

Nice quick overview. Good intro to Git/GitHub.

автор: Zaynah K

Jun 23, 2019

Needs more detailed instructions for MAC users

автор: Kirill Z

Mar 12, 2018

Good overall, assignments are somewhat clunky.

автор: Yadder A G

Aug 15, 2016

It was not harder... but It is a great start.

автор: Shauki V

Jun 04, 2016

Good introduction to these concepts and tools.

автор: Ankit M

Jan 08, 2016

A good Introduction to GitHub and Data Science