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.
автор: Susan S•
Great introductory. Some of the instructions were a bit vague at times - instructions RE code could have been more precise.
автор: ANKIT N•
Course is in simplified way. student can easily understand the whole course. Makers made best efforts in making this course
автор: 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.
автор: 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..
автор: 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 !
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: 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
автор: 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.
автор: 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
автор: 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. .
автор: Deleted A•
This is a very good introductory course for all those who are eager learn about Data Science. It gives you good insights.
автор: Carolina d C Z•
Es un curso muy básico, introductorio de conceptos, herramitas como git y github, las consolas... Sólo para principiantes
автор: Yash K S•
The course was nice but seemed too trivial at times of discussion about basic tools like git and command line interfaces.
автор: Jamie P•
Some of the exercises were challenging to follow; however, I was able to complete after troubleshooting and researching.
автор: 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!
автор: 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.
автор: 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.
автор: Michael M•
Should be able to optionally select viewing the Mac or Windows installation videos.
There are no videos for linux users.
автор: Jeffrey P•
Good overview of the specialization. Probably very good for someone new to R and software development tools in general.