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.
LR
Sep 7, 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.
1076 - The Data Scientist’s Toolbox 的 1100 个评论(共 7,176 个)
创建者 Rohini B K
•Sep 4, 2020
It was great being part of coursera. I learned a lot and ill highly recommend to my friends also. Thankyou so much
创建者 Anik N
•Jul 28, 2020
Very detailed and informative course. The quizzes and the pratices made sure that the learner is getting it right.
创建者 Juan C S B
•Jul 24, 2020
Basic concepts for those who are beginning in the Data Science world. Every amateur needs this concepts and tools.
创建者 Yasha N B
•Jun 14, 2020
Very nice course! I would never have learnt Github better than from here. :) Thank you organizers for this course!
创建者 Raylene T
•May 29, 2020
Excellent Introduction to the Specialisation. Excellent lecturers and the course content was excellently packaged.
创建者 Nilesh A
•May 18, 2020
It's a very intriguing automated course that keeps progressing with Amazon Polly. Great introduction to the field.
创建者 Md S A
•May 5, 2020
This course has a great amount of knowledge and I learned a set of new tools. Really very easy and understandable.
创建者 Archit M
•Apr 30, 2020
Beginner Course but it provided a great insight into tools used for data science these days.A must for beginners!!
创建者 Steve N
•Jun 28, 2018
Great course, the instructor is very good, and tells you what you need to know, and where to get more information.
创建者 Maxime R
•Sep 20, 2017
Really good introduction to Data Science, useful for those which tend to work in this sector, or the curious ones.
创建者 Joyce
•Aug 13, 2017
Learned something about Github, which is really a helpful assistant and a good teacher for my data analysis study!
创建者 Albert D L
•Jun 26, 2017
Very Interesting Course!! I would recommend it to anyone who is looking for a knowledge or career in data science.
创建者 Freeman
•May 31, 2017
Very useful course. I started my github account and the adventure as a data scientist when I learned this toolbox.
创建者 Maruthi S
•Apr 30, 2017
it is a good course to start the data science career. syllabus was well structured and training in methodical way.
创建者 Meredith D
•Jan 17, 2017
A good introduction to the basic toolset you need for the rest of the specialisation, and what each "tool" is for.
创建者 LU D
•Oct 6, 2016
Good, Good! My first try at Coursera classes. A well organized class and real field data samples to practive with.
创建者 Salman S
•May 25, 2025
This is an obvious and precise module for understanding tools such as R Studio and GitHub and how to set them up.
创建者 Илья С
•Jul 8, 2021
Очень полезный курс, хотя изначально думал, что он мне не пригодится. Решил пройти на всякий случай и не пожалел
创建者 Yonette M
•Feb 3, 2021
Before this data science course, I had no idea about R, RStudio, and Github.
I am thrilled I am doing this Course.
创建者 Edward A A M
•Oct 23, 2020
Es simplemente maravilloso, estoy feliz este fue mi primer curso que logré obtener con este sistema de educación.
创建者 Promit R
•Aug 17, 2020
Beautifully Explained!!!! Cleared each and every concept related to data science, want to meet the instructors...
创建者 Bernard O
•Aug 3, 2020
I now have new skills to beef up my career. The pandemic has been a burden but I have gained something out of it.
创建者 Barbara C d M V
•Jul 25, 2020
Gostei porque mostra o passo a passo de tudo.
Os videos de robô incomodam tudo mas dá pra aprender da mesma forma.
创建者 Christopher G
•Jul 21, 2020
Fue una muy bonita experiencia, aprendí mucho y deseo seguir aprendiendo. Gracias por haberme dado la oportunidad
创建者 Aladdin C
•May 12, 2020
Great introduction to data science and most especially to the various tools and concepts used by data scientists.