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.
Good courses and necessary for people like me who never have a relation to computer science,,, But it is a waste of money...lol
By Peter F•
Very mechanical in nature. Worth doing though as it provides essential building blocks for the remainder of the specialisation.
By Jeanne R•
Very basic information but it does walk you through things quickly and clearly. The final project could use a little proofing.
By Claudia R C•
The course is well structured and it covers various concepts, but I think it could be enhanced with more practical activities.
By Ashutosh A•
The course is helpful to understand the basics of data analysis, big data, etc. more focus should be given to assignments in R
By Teresa E•
This course is a basic conceptual introduction to data science and a glance at RStudio and Github. It is very easy to follow.
By Ian J A•
Great course! However, the manuscript for module 4 is missing. Please fix as soon as possible to improve quality of lectures.
By Sorasa E•
The content is amazing and easy to understand for the new student. However, the assignment question/instruction is confusing.
By Stuti M•
This is a short term starter for those willing to indulge in the world of data science. The course is crisp and to the point.
By Taimoor G•
It's too easy for 1 month course.
Make it harder and make it shorter. Perhaps combine intro to R programming and this course?
By Graham C D•
Great course to get you setup - don't expect to learn anything besides getting the correct software and file sharing profile.
By Hande K•
Very useful course to start learning data science. Explains things clearly. Some explanations could have been more detailed.
By Adam D•
Good overall. It would have been helpful to have more context or examples for the modules on version control and R Markdown.
By Deleted A•
Great course that allows an introduction into the world of the data scientist. Some instructional videos could be improved.
By Melinda T•
Good course. Short and sweet. Nice to be able to access future weeks' lessons and finish ahead of schedule if you wish to.
By Dr. A R•
Amazing and very simply going course. Learnt the basics of Rstudio and GitHub in a very simple manner. Thank you organisers
By Susan S•
Great introductory. Some of the instructions were a bit vague at times - instructions RE code could have been more precise.
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.