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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: 29,265
Рецензии: 6,226

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:

4451–4475 из 6,091 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Jon b

Feb 17, 2016

A little basic, but necessary to get everything you need set up for the next classes in the series. And it does that well enough.

автор: Surya P T

Sep 12, 2018

Good course and it's great that Coursera has designed this course separately.

Enjoying the journey of data science with Coursera.

автор: Alexandra D

Jun 28, 2016

Would have bee nice if it included a bit more "in Git" tutorials, but that is easily figured out when left to one's own devices.

автор: Ivan A

Aug 24, 2020

The course provides a good theoretical basis to get into data science and it is also very practical to link github with Rstudio

автор: Elvis M M

Jun 01, 2020

The introductory course is very helpful. Getting to know the use of Git and GitHub is very appealing and will be of importance.

автор: Martín S

Dec 30, 2019

Excelent, very clear. I only have problems with some changes in the versions of the programs. But fortunately I could solve it.

автор: A B C

Jun 26, 2017

Great content for beginners, who actually need a start about what data science is all about and where it is used all around us.

автор: debashis r

Feb 09, 2017

Its a good course those who prefer to study online.It gives a basic knowledge about the data tools which are going to be used.

автор: Fabiana G

May 07, 2016

I enjoyed the course - I wish there were more exercises, but hopefully they'll come in the next courses of this specialization.

автор: Matthew G

Mar 29, 2016

It covers some basics, but doesn't go deep into anything. Definitely take the other courses in the specialization to go deeper.

автор: xiang

Mar 17, 2016

Good courses and necessary for people like me who never have a relation to computer science,,, But it is a waste of money...lol

автор: Peter F

Mar 07, 2016

Very mechanical in nature. Worth doing though as it provides essential building blocks for the remainder of the specialisation.

автор: Jeanne R

Jul 10, 2020

Very basic information but it does walk you through things quickly and clearly. The final project could use a little proofing.

автор: Claudia R C

May 29, 2020

The course is well structured and it covers various concepts, but I think it could be enhanced with more practical activities.

автор: Ashutosh A

May 22, 2020

The course is helpful to understand the basics of data analysis, big data, etc. more focus should be given to assignments in R

автор: Teresa E

Dec 30, 2019

This course is a basic conceptual introduction to data science and a glance at RStudio and Github. It is very easy to follow.

автор: Ian J A

Oct 09, 2019

Great course! However, the manuscript for module 4 is missing. Please fix as soon as possible to improve quality of lectures.

автор: Sorasa E

Mar 09, 2019

The content is amazing and easy to understand for the new student. However, the assignment question/instruction is confusing.

автор: Stuti M

May 14, 2018

This is a short term starter for those willing to indulge in the world of data science. The course is crisp and to the point.

автор: Taimoor G

Mar 12, 2018

It's too easy for 1 month course.

Make it harder and make it shorter. Perhaps combine intro to R programming and this course?

автор: Graham C D

Dec 05, 2016

Great course to get you setup - don't expect to learn anything besides getting the correct software and file sharing profile.

автор: Hande K

Mar 26, 2020

Very useful course to start learning data science. Explains things clearly. Some explanations could have been more detailed.

автор: Adam D

Aug 22, 2019

Good overall. It would have been helpful to have more context or examples for the modules on version control and R Markdown.

автор: Travis A

Aug 11, 2016

Great course that allows an introduction into the world of the data scientist. Some instructional videos could be improved.

автор: Melinda T

Mar 30, 2016

Good course. Short and sweet. Nice to be able to access future weeks' lessons and finish ahead of schedule if you wish to.