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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: 26,493
Рецензии: 5,527

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:

4051–4075 из 5,403 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Philip T

Apr 14, 2016

A good introduction to the subject area. It would be nice to see more real-life examples.

автор: Claudia Y P

Feb 25, 2016

Gives a good intro to Data Science and makes sure you get the essential tools downloaded.

автор: michael s

Feb 10, 2020

Great course to get started with R Studio and Version control that actually makes sense.

автор: soumyadeep B

Jun 07, 2018

It would be helpful if the courses on git are explained in a bit more detail

Thank You :)

автор: Deepti T

Apr 06, 2017

Very Good for basic understanding of Data Science and the tools used by Data Scientists.

автор: Cassandra S

May 26, 2016

Straightforward, interesting, and easy to follow. I wish it were a bit more challenging.

автор: Sara H

Nov 24, 2018

Gitbash is a little challenging, but Googling questions is helpful for troubleshooting.

автор: Ajendra S

Apr 05, 2018

Very basic stuff. Creator only focused on creating environment of the upcoming courses.

автор: Navroop K

Mar 17, 2018

A good introduction to the tools. Assignments are very helpful in learning the concepts

автор: Parker C

Oct 25, 2017

It was pretty easy, but essential to the rest of the specialty so I think it was great.

автор: Ahuitz R

Sep 09, 2017

Indispensable if you don't know anything about R or data analysis, skippable if you do.

автор: Swagatam M

Apr 01, 2017

Great course, you get to learn about the tools used in the Data Science specialisation.

автор: Joe K

Oct 07, 2019

Great! Nice foundation to help move forward in the Data Science by JHU specialization.

автор: Ryan L

Sep 16, 2019

Increase the default pacing. Recommending 4 weeks to install software is too generous.

автор: Pravinkumar C

Nov 21, 2018

Very basic course and that was how we should start learning the ocean of data science.

автор: Lee Y L R

May 24, 2018

Important course and introduction to the various tools for an aspiring data scientist.

автор: Joseph D

May 26, 2016

I ran into a few unexplained issues with final project but a very good course overall.

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