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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: 29,845
Рецензии: 6,369

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
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.

LR
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:

176–200 из 6,228 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Ravi V

23 авг. 2017 г.

This course helped me a lot in getting the basic understanding on the data science and necessary tools like R, Rstudio, Git & Github. Now I found myself confident enough to pursue this journey of becoming a data science. Thanks to respective professors and Coursera. Looking forward to learn a lot.

автор: Cody W

16 янв. 2017 г.

Good introduction to the specialization. It might be a little basic if you already have a lot of programming background, but it's nice to have the foundation in place before diving into the nuts and bolts of the software. Does a good job of gently introducing the user to Rstudio, git, and github.

автор: MITTAPELLI R K

4 авг. 2020 г.

I would like to appreciate the efforts of course instructors to start a new way of learning for us and also for giving a complete course on the basics and fundamentals of the software. I strongly recommend everyone to use this course as a foundation to learn software like git bash and R studio.

автор: Felix N

8 нояб. 2018 г.

Very good overview of the basic concepts and tools required to delve into the world of Data Science. Explanations are easy to understand, lectures are easy to follow. There is far more detail and information involved regarding Git and R in general but are not necessary to complete this course.

автор: SARI R

22 окт. 2018 г.

A very useful course with a lot to learn about the basics of programming and data analysis. I have learned a lot of things and also this course has enhanced my confidence level to a higher level. Thank you coursera and John Hopkins University for providing such a wonderful opportunity to all.

автор: Karen L

8 нояб. 2018 г.

This was my first experience taking a coursera course. I was impressed with the thorough and well thought out content. The course material was easy to follow and it was easy to stay on track. This was one of the best virtual classes I have attended. I am looking forward to the other courses!

автор: Esteban A F

6 июня 2020 г.

Un curso muy bueno para aquellas personas que no hayan trabajado antes con R o con RStudio. Abarca temas basicos pero fundamentales para empezar a trabajar con R y GitHub. Las lecturas no son muy extensas y estan bien explicadas, lo que facilita la comprension por parte de los estudiantes.

автор: Rolin M

4 авг. 2017 г.

Thorough course introducing all practices related do data science.

A bit overwhelming but I mostly saw it as a lexicon of some kind; a resource to use again and again during the certification.

Hates off to the speakers who made a great job in terms of pedagogy in all video.

Max, form France.

автор: Rohit P

28 янв. 2020 г.

A very balanced and quick course to introduced R, R-studio, Github and other tools for data analysis. Also, the examples and methods of communicating critical terms are impressive and are forever etched in my memory. As a trainer myself, I will do my best to employ these in my workshops.

автор: Cesar P

3 авг. 2020 г.

I wish there was assistance from the instruction in case we come into problems. I did find a lot of written assistance, but in case of an issue I am unable to solve then I will need an instructor available that will go over the issue with me. I do not know if that is already available.

автор: David B

25 июля 2018 г.

Good foundation concepts for what will be required in DS according to the instructors. Good start point and presents basic challenges to getting you set up for the rest of the certification. Other courses will be required for more breadth and depth of concepts. Very good introduction.

автор: Donald M

17 сент. 2020 г.

It is an excellent course to get started in the world of data science.

All the steps well explained without a doubt.

The course has an excellent organization.

I am totally satisfied and will continue with the courses that follow.

Thanks to the instructors for such an excellent course

автор: donna o

19 мая 2020 г.

It is a nice course which smoothly familiarize a novice data science learner to the nature and tools of their job. Although I prefer it to be taught by a real instructor instead of a robot, apart from that everything was designed carefully to introduce data science toolbox to people.

автор: Ricardo J d S

17 дек. 2018 г.

Achei de grande valia, no meu caso, especificamente, por me colocar novamente em contato com a parte mais técnica da TI - venho desempenhando papéis gerenciais a algum tempo e tinha certo receio de alterar a configuração da minha máquina para ser um "laboratório" de ciência de dados.

автор: Farkhadov Z

7 авг. 2016 г.

Good course for begginers like me. All information is provided very simple and it's easy to understand. Also involves srudents not only looking videos but offer books. In addition you will need to search some information yourself to complete some tasks.

Thanks for this great course.

автор: VEERA V

7 дек. 2019 г.

Even though it is a starter course to the specialization learned so many new things like amazon polly which is being used to generate these videos, R-markdown and how important is it to produce reproducible research.

A must take course for any data science aspirant

Happy Learning!!

автор: Ting L

24 авг. 2018 г.

It's a great course for beginners. I had little knowledge about data science. I didn't even know what was R and GIt. After taking this course, I had a preliminary understanding of them. If anyone wants to learn data science without any experience, this one can be your start point!

автор: Tristan I

17 янв. 2020 г.

All the information felt applicable to my current role. The main thing I gained from this course is that I feel more confident in the tools at my disposal as a data analyst. Additionally I learned about tools I had never heard of & how to utilize them, and for that I'm thankful!

автор: David L M

16 авг. 2020 г.

Good starting point for starting to learn data science. Short, practical course on definitions and tools for data science. I knew a little bit about R and RStudio (but not much) and didn't know anything about Git and Git Hub, and this helped me a lot to know these tools better.

автор: Dominic C

25 апр. 2016 г.

Great way to learn R and become familiar with how to use it. As a developer with an understanding of Python, Java, C and C++ I could quickly see how to use R, how to extend it and start working with it today. Very good use of supporting tools like Swirl to assist with teaching.

автор: Rodrigo E

23 окт. 2020 г.

I would prefer more courses with this format, videos and the reading section with exactly the same content, I have found that is better to read so you can go back to previous paragraphs if you didn't understand something. Both things are pretty good videos and reading section.

автор: Kaushal C

11 июня 2020 г.

The course provides a good introduction to the necessary toolbox required. It provides introduction to the Rstudio interface and Github version control system. The course helped me gain a lot of knowledge regarding Data Scientist toolbox, especially the version control system.

автор: Michael S

19 февр. 2018 г.

I found this course to be effective at getting the student to recognize the baseline set of tools, skills and behaviors expected in courses 2-10. Moreover, none of said tools, skills or behaviors fall outside the confines of typical and/or "in demand" experience. Nice work!

автор: Prithvi M

11 мар. 2020 г.

Great course to get started with data science using R as primary language. Good data practices are encouraged and use of GitHub for version control gives additional confidence to anyone wishing to preserve their work that leads them up to the solution to the problem at hand.

автор: Francisco M R O

27 авг. 2018 г.

It's an excellent introductory course for the specialization, I have recommended this course to a friend because I have found the content pretty useful. I will continue with the other courses of the specialization and I'm very grateful to have this opportunity from Coursera.