学生对 Johns Hopkins University 提供的 The Data Scientist’s Toolbox 的评价和反馈
课程概述
(243 条评论)
(1056 条评论)
热门审阅
AK
Mar 11, 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.
NB
Jun 2, 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.
6626 - The Data Scientist’s Toolbox 的 6650 个评论(共 7,176 个)
创建者 Rafael T
•Apr 7, 2019
Very introductive. I hoped more about this course. There are interesting stuff but I'd rather more work volume.
创建者 Sérgio C C
•Jan 16, 2017
Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!
创建者 Deleted A
•Dec 28, 2016
Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p
创建者 PATHIK C
•Oct 13, 2016
There is practically nothing in this course to learn. It can be termed as a introduction to the specialization
创建者 Andrey T
•Sep 6, 2016
The course is too easy to be called a course. Just an easy intro, which you can complete in a couple of days.
创建者 Tamir L
•Jul 25, 2016
Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.
创建者 James M
•Feb 24, 2016
Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.
创建者 Aneesh B
•May 26, 2020
It is good for those who are looking what is data science and how to install R and Github and how they work.
创建者 Aritra D
•Jul 24, 2019
A little more depth on R and R studio and the rest and more data driven projects would have been appreciated
创建者 Leyla C
•Feb 24, 2020
Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.
创建者 Roman K
•Oct 9, 2017
The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.
创建者 Bill S
•Apr 12, 2017
Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.
创建者 Shawn O
•May 28, 2016
Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.
创建者 Shrestha P
•Jan 17, 2020
It was great to know new terms and tools used in data science. However, the course is mostly theoretical.
创建者 Jensen K
•Feb 7, 2016
Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.
创建者 Simin X
•May 5, 2017
It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.
创建者 JOHN O G
•Oct 28, 2016
Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.
创建者 Santiago N V G
•Sep 18, 2022
I think the content is not enought for an entire course, perhaps it can be a part of another course.
创建者 Kris
•Dec 20, 2020
Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
创建者 Abdallh A
•Dec 11, 2019
Good course for supporting the rest of the specialization. However, it has very little use on its own.
创建者 M S G
•Feb 2, 2019
Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash
创建者 Karan A
•Jul 6, 2018
Course is good overall, but it could be more detailed and informative which is lacking at some topics.
创建者 Adriana M M V
•Mar 29, 2020
Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.
创建者 Sourav P
•Jul 29, 2018
One Could have introduced the basics of R in this course..The course was too easy..Even for beginners
创建者 Hernan G
•Sep 27, 2017
Es básico, pero cumple para empezar en el mundo de Coursera, espero mucho más del resto del programa.