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.
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.
by ANKIT N•
Course is in simplified way. student can easily understand the whole course. Makers made best efforts in making this course
by Qing Y•
The quiz is mostly so'm'ething about the history or cha'ra'c'te'ristics of R or something else. No much knowledge provided.
by Srikanth S•
Was a great introduction. However, i felt, some of the lectures was very fast and i had to pause it constantly to try out..
by yaw o a•
Quite a fast course. Material is a lot though and would be quite daunting for someone completely new to this sort of stuff.
I found the way in which John Hopkins present the course, very valuable. Well structured, although the pace is quite fast !
by Luis C H•
Maybe too easy for some people, but is ok to ensure a minimum level in order to enroll other courses in the specialization.
by Bijan S•
Well. I don't think this could be categorized as a course. You can think of it as table of content for the specialization.
by ankit g•
good for all those who want to start from scratch, but if you know R programming then it has no use for you except GitHub.
by Kris H•
Much of this was review material, but the structure was such that it would be effective for learning as a first-time user.
by hoo y s•
a brief and yet organized and good resource for review old skills i have learnt and new skills that can acquire from here.
by Jason B•
A great little course for anyone who, like me, is curious to know if data science is something they might want to pursue
by Deleted A•
I thought it was good until Week three. I found some of the directions on how to download/set up programs very confusing.
by Francisco J A O•
Really gets me, so I renew my interest in learning new things, It´s a well implemented course to introduce you to RStudio
by Deepak J N•
It forms the base. The examples should be recent and since its more from Bio stats etc, sometimes gets a bit confusing. .
by Deleted A•
This is a very good introductory course for all those who are eager learn about Data Science. It gives you good insights.
by Carolina d C Z•
Es un curso muy básico, introductorio de conceptos, herramitas como git y github, las consolas... Sólo para principiantes
by Yash K S•
The course was nice but seemed too trivial at times of discussion about basic tools like git and command line interfaces.
by Jamie P•
Some of the exercises were challenging to follow; however, I was able to complete after troubleshooting and researching.
by Muhammad M A S•
It was really, a helpful intro to the concepts and tools to get someone - especially if new to the field - on the track!
by eon t•
it could be better if there is a true human being teaching instead of a female ai. it seems a little bit indifferent lol
This is a great introductory course and would recommend this to others who are interested in pursuing additional course.
by Subhajit M•
Very good place to start. Tells you just enough to get started and also just enough to get hands dirty to keep learning.
by Michael M•
Should be able to optionally select viewing the Mac or Windows installation videos.
There are no videos for linux users.
by Jeffrey P•
Good overview of the specialization. Probably very good for someone new to R and software development tools in general.
by Herman A•
Assignments are useful, background is interesting, but meat of it is nothing you can't get from googling "Data Science"