(243 Reviews)
(1056 Reviews)
SF
Apr 14, 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.
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.
By Shivam J
•May 24, 2019
Covers all the basics. But yeah, just the very basics. Leaves a lot more to be learnt. I'm sure the upcoming courses in the specialization would be helpful
By Mauro S d S
•Mar 5, 2017
It was good - I think I would like a bit more on Github, but it gets covered in other courses. It shall have more material on the coverage of data science.
By Vinoth K T
•Jan 7, 2016
The introduction was very precise and straight to the core concepts of data science.
Please include a slide with the road map of becoming a data scientist.
By Filipe F
•Jun 22, 2019
Its a good basis. But i think there is a lot of information that is not relevant . Also, the materials of some questions are not mentioned in the videos.
By Mohamed M
•Feb 28, 2019
It is good as a start for a beginner, but I do not think it is adequate to be a separate course. Much of the material can be easily addressed in one week.
By WEI-LUN C
•May 17, 2018
It's a great course to have very basic introduction of Data Science.
In the meanwhile, also teach us how to install the necessary tool for future purpose.
By Christopher S
•Oct 7, 2017
Not the most engaging material, but the course does a good job of covering the fundamentals of R and GitHub and helps you download the necessary software.
By Adrian P J R
•Jun 7, 2017
Some typos in the slides need correction. Narration can be made more lively. Slides still quite classical in format and may be improved for better impact.
By Liz T
•Jan 16, 2016
Good overview of Data Science, but geared more towards people who have little background in computer science. Info that *was* presented was very thorough.
By ARPIT P
•Sep 24, 2020
Auto-generated voice is a major down-point. Then this is supposed to be a beigner friendly course, but it isnt really looks like that in certain aspects.
By Muqaddas R
•Nov 18, 2018
It's a really good course for the absolute beginners, but for me it was quite slow. I just took this course because it is the part of the specialization.
By Ramy H
•Jul 30, 2017
There are a lot of info on the video. Would be good to share a copy of the slides for the Git links/instructions so we can use them as a reference later.
By 허욱
•Dec 6, 2020
This lecture tells you a lot about new places for experiment and study such as github, r studio. Hope many people check out this lecture and gain a lot!
By Praveen S
•Dec 15, 2016
This course provide a good introduction to github , Rstudio and command line interface.
it also gives a information about different ways to analyse data.
By Wai M C
•Nov 18, 2017
Basic introduction to the tools that will be adopted in the Data Science. I do hope there would be more information regarding Hadoop, Python, SQL, etc.
By alifiya l w
•Aug 1, 2019
As it is a very technical to set everything and to start working on it but the mentor have tried to make it easy. For a beginor it can be challenging.
By Edward C
•May 23, 2018
Informative, but course did not provide exact information needed to complete the assignment without additional research (unless that was the purpose).
By Ajay K S
•Jul 15, 2017
Although I am vey much satisfied with this course but i felt a little low during the slides for explanation of types of data science .
Rest was superb.
By Jack L
•Jan 16, 2017
Pretty light weight so far, but I certainly understand it's targeted at a broad range of people so the vanilla material is probably a chore for some.
By Zhuoxiang Y
•Nov 29, 2016
This is a clear introductory course, but the content is not as much as expected. Compared with other coursera course, this one is like one-week pack.
By Harshita D
•May 8, 2020
The course is well structured but I still prefer that students new to this must read from other sources as well to completely understand the topics.
By David A
•Jul 6, 2017
Good and easy introductory course. Finished it in about 3 hours total - don't expect this to be the pace for the rest of the specialization, though!
By Wissam A
•Jan 4, 2017
Lots of information. I learned quite a lot. It was a nice and informative introduction to Data Science in all aspects technically and theoretically.
By Andrés F
•Apr 2, 2021
Interesante introducción, quedas con el entorno listo para iniciar el aprendizaje. Se hecha un poco de menos un humano en las clases pero está bien
By Cesar M A T
•Aug 1, 2020
This is a mere course on installing all the necessary tools and setting your environment, so the explanations are short lived and practice is null.