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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: 22,342
Рецензии: 4,502

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
Introductory course
(рецензий: 1056)
Foundational tools
(рецензий: 243)

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.

AI

Apr 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

Фильтр по:

151–175 из 4,376 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Sumanta K P

Aug 22, 2017

I got an overall idea that what I need to do before jumping into the bigger topics or even starting the real data science course. This is truely very important because people who don't have any idea about this topic needs to get an overview first.

автор: Melody K S

Jan 20, 2018

I am not sure how to assess, I'm advanced in many cases and gaps in others. GIT is making me crazy b/c I can't see it but logic and flow of hub makes perfect sense due to extensive SAS/STATA coding experience and stats background overall pleased.

автор: Habiballah S

Jan 30, 2017

Great and very informative ! I strongly advice to anyone who wants to start learning how to manage a data and be involve in data science field. This is an absolute course to become familiar with the essential software and technique to get start!

автор: Nirav D

Apr 02, 2016

This is the first course in the Data Science Specialization series by Johns Hopkins University taught on Coursera. It introduces all the tools necessary for subsequent courses on data science and gives a driving motivation for the specialization.

автор: SURJEET K S

Oct 18, 2018

This is the first course in my last few online courses of R where I learnt how to initiate Git and Github and do things in a very formal sequential manner. Very good for people who are not too technical in nature. Simple and easy to understand.

автор: Ana D

Jun 30, 2017

Nice course, very complete, although being new to it I would have loved a longer lecture on thisas well as a practic examn or something similar with the objective of developing this skills sufficiently for future courses fron the specialization.

автор: Syed M A T

Jun 28, 2018

I have tried to learn a couple of times but due to busy work schedule i always left in the middle of a course or tutorial. However this course due to its interactive nature kept my attention. Finally i completed my first course in Data Science.

автор: Pradeep p

Nov 11, 2016

Course Structure is good. I could able to gain the basic knowledge & ideas about tools & questions Data Analysts work with, then could also get practical understanding about the sharing & version control tools.Looking Forward for other Courses.

автор: John

Apr 22, 2018

This course was a lot of initial set up for the rest of the program. Basically just setting up programs and getting accounts ready for future study. All in all a good start, I expect material and course work will significantly pick up now

автор: Ajay S C

Aug 22, 2017

its a nice course to introduce you with the tools required ahead in this journey of data science learning. It helps you in taking that first important step for moving confidently ahead in this great learning. Keep up the good work coursera

автор: Muhamed N A A

Dec 17, 2017

Though it was a ground basic skills, but yet solid to build upon. This course helped me a lot getting a clear picture of what is data & data science and the necessary tools required to analyize & generate actionable data.

Thanks Coursera

автор: Hemanshu S

Dec 05, 2017

This is really good course and overview about Data science. I had great start for course and Git and basic commands of Linux after several years.

This course will definitely give me exposure to think in best future stream of IT industry

автор: Lam Y H

Aug 23, 2017

A great introduction to Data Science and the necessary tools required for the remaining course. Fairly simple, but more catered to a warm up for the remaining courses. Would encourage everyone to continue to complete the specialization.

автор: Hasan B

Jan 11, 2020

A very good, organized, and interesting course that teaches you the fundamental introductory elements conserning data science, and helps you learn how to set up essential tools in order to begin learning R programing and using RStudio.

автор: Sean S

Dec 26, 2019

I thought this course gave a great introduction to the topics being covered in the Data Science Specialization. I think the only thing I would of liked to of seen is more case studies and maybe some more supplemental reading materials!

автор: Sheikh A

May 25, 2018

Eases into the world of Data science. I do not know if things are as equally easy as this in the future or is this the calm before the storm. Either ways, I'm very glad I took this step, and would recommend this to any one considering.

автор: Serbay S

May 09, 2018

Content is sufficient for really beginners or who do not have previous experience . I learned about Data Science, Git and GitHub usage. I am planning to continue to next courses of John Hopkins University. Thank you for instructors:)

автор: Hassan M S

Mar 28, 2020

The method of presenting the course is a dream come true for me! I am the type of person who can better learn by reading and always enjoyed the reading material of the course. A course containing solely the reading material is epic!

автор: Eugene K

Apr 25, 2019

This course is very comprehensive and if you watch the video and try and follow all the links to webpages, publications, etc. and then try to connect the dots you really have a great start in data science. Not to be missed. Thanks.

автор: Susan M

Aug 23, 2017

Great intro course, really enjoy the self paced schedule. As a busy professional, it is often hard to find time to commit to scheduled courses. I am very grateful for Coursera, and all of the universities, who make this possible!

автор: Wayne W

Mar 23, 2016

A good overview. Set the expectations for what will happen in the rest of the Data Science classes. Gave a lot of good, basic information for people that are not familiar with git, GitHub, Rstudio, and basic Linux/Unix commands.

автор: Umberto M

Feb 09, 2016

Is a very nice course. Is very basic but exposes you to the tools most used in the trade. If you have any IT background you will not probably benefit that much, except in learning what kind of tools are relevant to data science.

автор: charan k C

Feb 17, 2020

This Course gives you the basic level of understanding of what is data science and its impacts on the market. You can know about Version Control and Tools like R - Studio. Overall as a beginner, i learnt a lot from this course.

автор: Anne T

Jul 28, 2016

If you have a background in IT you should get through this pretty fast, but it's still a well structured course with useful support in getting the basic tools set-up before the rest of the course. Clear, concise & to the point.

автор: Pooja D

Jun 08, 2016

What an amazing course!!!!!!!!!

At first I skipped this and started R Programming. But then I thought let me just check it once and I am really grateful that I started this. I am looking forward to complete whole specialization