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.
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.
by Vinoth K T•
Jan 07, 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 A H A 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 18, 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 07, 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 07, 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 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 01, 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 08, 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 06, 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 04, 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 Cesar M A T•
Aug 02, 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.
by Nicholas E B•
Mar 06, 2019
Gives you the basics of how to use R and it's different file sharing platforms, is very useful when completing a project with various contributors
by Graham W•
Feb 17, 2016
Good overview, I appreciated that the course gets you set up and makes you prove it. More command line and RStudio simple exercises would be nice.
by PATNAYAKUNI P•
Jul 07, 2020
coursers are well explained.some of the topics are not explained .i request you to provide links to study the topics which are briefly explained.
by Emilie B•
Nov 15, 2016
I've just started this course, that's why my rating is 4/5. But I'm very satisfied with the video lecture, and I find it very interesting so far.