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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: 27,577
Рецензии: 5,801

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:

5326–5350 из 5,671 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Douglas P

Jun 27, 2016

It's a good preview, but very little is actually learned here.

автор: Pirthvi H G

Aug 03, 2020

Not informative as expected. Please include more information.

автор: Ja-Eun L

Jun 06, 2018

Not sure it can constitute as one course - was helpful though

автор: SONDECK L

Oct 13, 2016

Interesting, but could be improved with further applications.

автор: Jia Z

May 22, 2016

Not much content for this course, can be done in a few hours.

автор: Pablo G

May 14, 2016

great content, a little long course for the provided content

автор: Prazzal D

May 02, 2020

This course was too much theoritical but was a good course

автор: William E

Feb 14, 2016

Very basic if one has already worked with software before.

автор: Pedro J H M

Nov 06, 2017

A brief and easy introduction.

It should not be mandatory.

автор: jhalak g

Oct 10, 2017

would like to have more detailed and interactive sessions

автор: BILASH P

Jun 04, 2020

This course is good. But automated video is so annoying.

автор: Jacob P

Jul 01, 2019

Seems to be somewhat useless in terms of actual content

автор: Anandwade N

Feb 25, 2018

give you good basic for data science and tools required

автор: Joshua K

Jul 05, 2017

Pretty Basic, but helps get you in the swing of things.

автор: PRABHAT K

Jun 09, 2017

Good for understanding tool and how to work with Github

автор: Avi C

Jul 20, 2016

Just an intro and learning a bit about Git and Git hub.

автор: Victoria M

Mar 14, 2016

Doesn't provide a strong enough base for R Programming.

автор: Anagha J

Feb 07, 2016

Good and basic understanding of terms.

Can be made vast.

автор: Jay P D

Apr 08, 2020

Just the basic setup... pretty slow but informational.

автор: Morgan A G

Feb 18, 2018

Very easy, I am unsure if this is a good thing or not.

автор: Rafael C

Feb 16, 2017

Good course, but worth only for really basic learners.

автор: Vivek K

Jan 08, 2017

Not really a course, should just be Week 1 in course 2

автор: Veli-Pekka V

Oct 22, 2016

Covered basic elements of data science and statistics.

автор: Mauro P

Feb 07, 2018

I would like to see more practical exercises about R

автор: Zin

Sep 26, 2019

It was helpful in getting to know R and R packages.