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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: 26,297
Рецензии: 5,467

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

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.

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.

Фильтр по:

251–275 из 5,355 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Marvin G W

Dec 01, 2019

Basic intro but good material and refreshers. Git lesson is great for those of us that haven't been in that environment for a while or have never been there to start with. Looking forward to the next course!

автор: Azhan A

Mar 17, 2018

Awesome course! I would say, I was dreaded github, it never made sense to me but now I know what it is, the course covers super basics and I recommend everyone who is new to data science or even new to coding.

автор: Venkata D

Nov 06, 2017

This is a very valuable course for the biology or health research background students or scientists who have great interest in data and analysis can learn and explore newer skills. Very well structured course.

автор: Dasarathan S

Sep 17, 2019

All information given in this course is very basic overview about Data Scientist. It covers basic requirements at macro level and helped me to understand what is Data Scientist. Great course to start with it.

автор: John S

Jul 15, 2019

Most helpful for those who don't exactly know what they are doing and need help setting up R, R Studio, GitHub, and Git. Be warned, o actual programming here. However, I definitely appreciate what I learned.!

автор: sandeep

Feb 15, 2017

It's really a great introduction to know the very basic things of Data Science. This course will be useful in setting-up the required tools of R programming on your computer. For the beginners this is a must.

автор: Nischal S

May 01, 2020

The contents of the course were excellent, and every bit of instruction was to the point. The idea of providing the text version of the video was apparent. The voice of the narrator could be a little better.

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: 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: Nnamdi V E

May 14, 2020

This course is wonderful. Very detailed.

My main concern with MOOCs is the data consumed by videos but the videos here are so light. I don't have to worry about the size and I played them more than once.

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: Lailatul S B A R

Jun 12, 2020

Good introductory course and easy to follow to have basic understanding on Data Science and R programming language and how to use and interlink between R, RStudio, GitHub and the rest of the tools used.

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: peter d

Jun 07, 2020

This first module for the course is a great step in learning the fundamentals of Data Science. The RStudio and GitHub classes are excellent. I now have a starting point to mastering those environments!

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: 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.