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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: 33,077
Рецензии: 7,064

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


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.


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.

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4901–4925 из 6,962 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: John S

14 нояб. 2016 г.

Very good pace, sequencing, and mix of lecture and practice. Only suggestion is a bit more time on the "Add", "Commit", which appears to be a very core element of file handling/version management with GitHub.

автор: Maureen C

18 авг. 2021 г.

Main issue was that Git transitioned to a private access token system that was not incorporated into the lessons. Luckily, there were plenty of resources available online to troubleshoot. Great introduction.

автор: JiapengSun

14 нояб. 2019 г.

I used 7 days free trail first and then purchased it, then I found almost all the videos and works in free trail version are different from purchased version, can't understand why the institution did that.

автор: Baurjan S

13 апр. 2016 г.

The first week's quiz is really difficult and I had to go through the lecture material several times. Because of the great number of very short lectures it is difficult to find an asnwer to sought question.

автор: Rakibul R

10 окт. 2021 г.

The robot voice was little annoying. Specially when they say parenthesis - "(" it really makes confusion. Also there were some text which says This/That (this or that) which the voice says this slash that.

автор: Julian M D C

26 апр. 2020 г.

The content in the course is very helpful as an introduction to Data Science. There is no enough material to 4-week study. I finished the course in 3 days at a regular pace. Robotic voice is a bit annoying

автор: Tales T P

16 мая 2016 г.

There were lectures about how to install R and RStudio on Mac and Windows. And the quiz asked about information on these lectures. You must pay attention to them even if you have previously installed them.

автор: Angie M

24 мая 2020 г.

Seems like the lessons are using an older version of R. BioConductor repo packages instructions need updating. Otherwise, this course gives a good intro to Data Science and how to use RStudio with GitHub.

автор: Vivian G

12 мая 2020 г.

This course gives you a nice overview of the very first steps in dealing with your data. It explains very well how to use GitHub and RStudio.

The mini-quizzes (3 questions) are a bit useless in my opinion.

автор: Pranali S L

22 июля 2020 г.

Course was Excellent . I have learnt many things from this course which will be very helpful in future .My suggestions will be -framing of questions should be more exact.,so learner will not be confuse.

автор: Luis C

17 нояб. 2016 г.

El curso tiene toda la orientación a ser la primera parte de toda la hoja de ruta de la especialización de data science... En solitario no aportará prácticamente nada pero como punto de inicio, promete.

автор: Wenting T

23 мар. 2016 г.

The course is in fact an overall intro to the full data science specialization. Some of the content are useful; but some of the quiz questions are not very informative, and don't really test on stats...

автор: Rose E

15 апр. 2020 г.

It would be nice to have the R Studio and GitHub training with more guidance and proper syntax and coding for both and I would prefer it after the R programming course. Otherwise, good content overall.

автор: Marcus F

13 апр. 2020 г.

Yeah, the robot voice is annoying. There needs to be better instruction on getting R Markdown to work. I tried in vain and gave up on it after looking at multiple forums with my same issue. Oh well.

автор: Madhusudan S T

12 апр. 2020 г.

It's a beginning to a host of different courses that are to be followed after this. It makes up a for a good platform to start off the work on R and how to use version control feature of R via GitHub.

автор: Sumeeth R

15 мар. 2017 г.

It would be better if we can attempt the assignments even if we are not enrolled to the course. It would really help us to evaluate ourselves about the extent to which we have understood the concepts.

автор: Chris C

11 июня 2016 г.

A good basic class and collection of the tools. I wish there had been a little more explanation of what we would use the software for, but I found the lecture parts to be both concise and informative.

автор: Matt W

11 сент. 2019 г.

Very clear and concise and is very easy to follow for those who aren't very experienced with setting up a dev environment or git. A little on the easy side but I'm sure more challenges are to follow!

автор: Guillem P O

26 июля 2016 г.

Consistent yet very basic course. I would only recommend this course if you are willing to complete the whole Data Science specialization or if you have troubles with the basic functioning of GitHub.

автор: Alexandros-Charalampos K

14 июля 2016 г.

It's a very introductory course and in a sense I don't feel like I learnt something useful, except the part that shows how to install all the tools that are needed for the rest of the Specialization.

автор: Umar F A K

23 июня 2020 г.

This course is very educative and easy to follow by anyone regardless of their previous knowledge in Data Science. I recommend this course to anyone who want to learn r programming and data science.

автор: Carlos C B J

15 февр. 2018 г.

It is possible to learn how to set-up your computer to use R and Rstudio. It gives an overview about Git and Github. The only deficiency ,in my opinion, is the lack of linux explanation in set-ups.

автор: Dian Z

17 июня 2021 г.

Generally, it is a great class. However, a part is missing in the R Markdown section. You cannot convert RMD to pdf without installing tingtex package. This content should be included in the video.

автор: Navid S

24 авг. 2019 г.

It would be helpful for absolute beginners who even have difficulty in installing programs like R and GitHub but otherwise it felt a bit too basic although informative with some of the Git commands

автор: Tom J

17 авг. 2019 г.

Most of the instructions were very clear. Image quality for pushing files to Github via command lines was poor, so it was difficult to follow along. Not sure why there were 2 Git bash counsels open