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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: 32,337
Рецензии: 6,905

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

14 апр. 2020 г.

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.

7 сент. 2017 г.

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:

276–300 из 6,790 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Jeff D

3 окт. 2020 г.

Thank you very much for this course, this course helps me to have a good understanding on how a data scientist works and what are the different tools needed to work and collaborate with a different professional to work with a specific dataset.

автор: Abbid A

28 июня 2020 г.

Guides students through the basic tools all data scientists need and sets them up to both learn and apply them. A very good introduction that not only covers the theory behind data science but also shows how it can be used in the modern world.

автор: Dostonbek K

3 нояб. 2020 г.

So far, although I am studying computer science, I was too far from the nowadays-popular concepts Big Data, data-analysis (what I am very interested in) and This course covered and gave me the motivation to keep on studying the specialization

автор: RASMI

31 мая 2020 г.

I really loved the quality of the content being provided. I appreciate the fact that the courses have been designed for being beginner friendly, but at the same time it ensures that the student gets to know about all the relevant content too.

автор: Maharshi D

16 июля 2021 г.

Great starter for aspiring data scientists! I would recommend this course for conceptual understanding of the field of data science and big data analytics, as it is not good to directly delve into it without such prior knowledge. Great work!

автор: Dr. S M A T

12 июня 2020 г.

Excellent Course designed to learn insights relating data science using R software. basic Coding and analytics basics are taught in this course. Moreover learning relating how a data scientist can collaborate on GitHub is an added advantage.

автор: James M

17 февр. 2021 г.

Very basic, but I guess that is what is what is meant to be. Not sure I really liked the computerized voice over slide aspect. I get the point of how that is more efficient, but it certainly takes something away from the lecture experience.

автор: John

22 апр. 2018 г.

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

22 авг. 2017 г.

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: Eugene V

30 авг. 2020 г.

Content is not so engaging but I think the new format (text-speech) will help improve the course delivery. Topics are discussed thoroughly and if a certain topic will not be discussed in detail, links to additional materials are provided.

автор: Michael M

28 мая 2020 г.

Exactly what I wanted from an introduction. I feel prepared to begin the more challenging courses in this specialization.

This course isn't so much a value-add on its own, but is designed to set students up for success in a specialization.

автор: Tommy Y

12 апр. 2021 г.

It was an informative foundation to start learning R-programming to Data Analysis. Although it was not easy at all for me to complete this course, I really loved to learn this toolbox including important concepts of statistical analysis.

автор: Muhamed N A A

17 дек. 2017 г.

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

5 дек. 2017 г.

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: Owie

23 авг. 2017 г.

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: Kylie A

15 июня 2021 г.

This class was pretty easy and was a good introduction on how to set up R and RStudio. I wish it had taken a little more time with introducing version control (Git) and teaching you how to use it, but overall it was a good intro class!

автор: Hasan B

11 янв. 2020 г.

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

26 дек. 2019 г.

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

25 мая 2018 г.

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: Frederico P

8 нояб. 2020 г.

Great course, with thorough explanations regarding types of data, data science, the importance of version control and begins to introduce Big Data. It is complete and gives an excellent ground to start developing your first projects.

автор: Serbay S

9 мая 2018 г.

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: Yian L

9 апр. 2020 г.

I like the instruction of connecting programming with Github. This is not taught in my other courses but being extra helpful for people who will work in the programming communities. The automated voice delivers contents efficiently.

автор: Hassan M S

28 мар. 2020 г.

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: Debinson C C

27 мая 2021 г.

Se presentan las herramientas básicas para una persona que desea trabajar con datos. La metodología permite avanzar en los temas pero teniendo la oportunidad de revisar su proceso de aprendizaje e identificar los errores cometidos.

автор: Joseph F

5 нояб. 2020 г.

This is a concise course for someone who has zero background in Data Science. Relevant supplementary readings were available and the samples used were really helpful. I enjoyed the learning process and I also loved the xkcd comics!