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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: 22,433
Рецензии: 4,523

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.

AM

Jul 22, 2017

Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.

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201–225 из 4,404 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Sruhith K

Oct 23, 2019

I loved the support of the Coursera, throughout this course and the way of unfolding a course all the way through till the end!

Really loved each and every aspect of the whole cream.

Thanks and love, Coursera!

автор: KHANGJRAKPAM A

Jan 05, 2020

It was an amazing course. The versioning of code during development is something that Data Scientist new to the trade are unaware of . It was good to have this knowledge of how to do versioning through Git.

автор: Darcy L

Sep 13, 2018

Nice balance between giving me the info I needed to complete the course and homework and providing links to materials and suggestions on how to find answers that were not explicitly covered in the videos.

автор: Álvaro G

Jul 17, 2017

I loved this class. The lessons were concise and very well planned, the information clear and easy to grasp and it gave me a very good perspective of what the rest of the specialization is going to entail.

автор: Senthil K M

Nov 11, 2016

Impressive explanation on the subject., Freshers with no knowledge about the domain can easily understand the subject. Thank you so much for such a fantastic MOOC mode of learning possibility. Love it all.

автор: Priyanka K

Jun 30, 2016

Thank you so much for the great course! Looking forward to taking the rest of the classes in the specialization. I really love the GitHub info, lectures overall, as well as the Textbooks you have provided.

автор: Sohan A

Jan 06, 2020

A well structured course. At first you feel like there is nothing interesting but later on, I enjoyed this and boost my confidence. Only minus point was sound in video, it should have been real persons'.

автор: Robin F

Oct 12, 2018

This course will probably be too easy if you already know about data science but it is perfect for neophytes who do not have the tools and the codes of data science yet. I strongly recommend this course!

автор: Christian S

Jan 12, 2020

I've been using SAS and Visual Basic as primary data manipulation tools from my very first job to date. I wanted to learn R/RStudio and this course provided a very good introductory learning experience.

автор: Alice

Mar 30, 2019

A great start to the world of data science. Love the idea of duplicating videos with text courses. I'm saving all texts to a folder for future use - this is a gold mine! Great job on the course, people!

автор: Ishtiak A

Jan 07, 2018

This a a nice introductory course for approaching data science domain. The instructor and course materials are very good to understand the basic concepts of the tools required for data science projects.

автор: Deleted A

Nov 12, 2017

Really impressed with the completeness of the learning environment. I would rate this more highly than a traditional classroom because of the interaction and opportunity to go over concepts repeadedly.

автор: Anshu S

Dec 20, 2018

This is a very important courase for the basics of all the software, tools and concepts regarding Data Science. I learned a lot with this course and the lecture is quite sufficient for the basic of it.

автор: Clifton H

Oct 16, 2018

Straightforward and the tasks aligned well with the instruction. Examples were used to good effect. Highly recommend using the course forums if you're stuck on a problem (especially the final project).

автор: Geetanjali B

Sep 03, 2016

This course helps people attain the basic knowledge of the tools that are to be used while creating scripts. It also emphasizes the value of community feedback, which helps us learn in a better manner.

автор: Amit k

Mar 12, 2020

I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.

Thank you.

автор: Nishank B

Jun 03, 2017

Nice Course. Basics are very well taught in this course.

Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.

автор: Darek G

Jun 13, 2017

Pretty easy, and never felt like it was a struggle to find the information that was needed. Basically a setup course for out things you'll need for the likes of R Programming and Data Science work.

автор: Maundrey W K

Oct 15, 2018

This course is perfect for pure beginners, because it introduces the student to what Data Science really is and what a skills and knowledge a student should possess in order to be a Data Scientist.

автор: Leon J R

Sep 20, 2018

Good Data Science Tools foundation course. You get your hands dirty a bit and you get to learn how to solve some issues with resources. Great practical experience on top of the knowledge additions.

автор: Ankur S

Dec 19, 2016

Good introductory course. Gives you an insight into the courses and topics which you will come across in the future. Would recommend this for beginners who want to get an insight into data science.

автор: Sheila K

Feb 22, 2019

This course is engaging and difficult to put down. I was obsessed with completing this each week and actually finished a bit earlier. I consider myself nontechnical but the format was well done.

автор: Cauan B d S C

Jan 23, 2019

Ótimo curso e com uma extensa bibliografia que deve ser apropriada pelo estudante para se aprofundar mais no assunto. Um começo excelente para quem quer iniciar a carreira como cientista de dados.

автор: budebrock

Feb 15, 2016

A great introduction to some of the tools of a Data Scientist. Just enough information to get you going, but still leaves enough mystery so that some investigating and problem solving is required.

автор: Austin C

Jul 14, 2018

The Data Scientist's Toolbox is a comprehensive, yet succinct introduction to the wide variety of resources needed for Data Science. The delivery method is fantastic and the pacing is just right.