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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: 26,660
Рецензии: 5,558

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


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.


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:

4101–4125 из 5,443 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Frank N

Mar 27, 2016

Very basic survey and mostly just setting up software, but confidence-boosting and fun

автор: Zee

Jun 27, 2020

A very good introducton to the tools, but the GitHub tutorials could use few updates.

автор: HanWang

Nov 27, 2019

The course is helpful, and material is well receivable. But not a fan to robot voice.

автор: Zhou Y

Mar 18, 2018

It is a wonderful introduction, and gives me a clear view of the track of the course.

автор: Jonathan A

Sep 19, 2016

Pretty good. Some lectures were good, a couple seemed rushed. Covered the basics OK.

автор: Alec k

Aug 22, 2016

Just an introduction course but helpful in setting up the rest of the specialization.

автор: Ming

May 06, 2016

Experimental Design is very great. Other contents are just fundamental for beginners.

автор: PUJITH R V

May 30, 2020

it gives you the basic understanding or lays down a foundation for the later courses

автор: Jaya S

Apr 21, 2020

Know i am done with toolbox and looking forward to complete full data science course

автор: Gabriel E B

Apr 14, 2020

It's the basic introduction to all the tools you will use for the Data Science Spec.

автор: Tejas B

Sep 30, 2019

Great Into course! It's always good to get the basics right before the greasy stuff!

автор: Jack C

Jun 30, 2019

Great course - a few grammatical/syntax issues in the quizzes but otherwise love it!

автор: Daniel M D V

May 18, 2019

Very basic course to set-up the necessary tools for the specialization. Nothing more

автор: David R

Jul 31, 2018

A good overview of the tools needed for the rest of the data science specialisation.

автор: Amol G

Jul 16, 2017

Elaborate and precise course for beginner introduction to the wide range of courses.

автор: Axelle R

Apr 03, 2016

Good introduction to tools if you don't know them already. Otherwise very remedial.

автор: Dominique G

Feb 06, 2016

Good introduction to data science, primary tools and what the spec. course is about.

автор: Mwenge M

Jun 15, 2020

machine read lectures are not as easy to follow as those presented by human beings.

автор: ABHINAV P

Jul 13, 2018

Gives the initial set up knowledge and idea into the field in a very structured way

автор: Kyle H

Nov 20, 2017

Nice simple introduction to the tools the reset of the specialization will require.

автор: Blazej M

Oct 18, 2017

Very very basic... Good for someone without any prior experience with R or Rstudio.

автор: Peter Y

Mar 16, 2017

Audio level is too low and not balance, ever worser then udemy, please fix it asap.

автор: Omar M

Apr 21, 2020

good enough for a kick start with r studio and understanding what is data science.

автор: Xinyue N

Feb 15, 2018

It is a good course for you to understand some basic information of data analysis.

автор: Gokulnath K S

Oct 18, 2017

Nice course to start as it gives a grasp of everything that we are going to learn.