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.
por Fabiana G•
May 07, 2016
I enjoyed the course - I wish there were more exercises, but hopefully they'll come in the next courses of this specialization.
por Matthew G•
Mar 29, 2016
It covers some basics, but doesn't go deep into anything. Definitely take the other courses in the specialization to go deeper.
Mar 17, 2016
Good courses and necessary for people like me who never have a relation to computer science,,, But it is a waste of money...lol
por Peter F•
Mar 07, 2016
Very mechanical in nature. Worth doing though as it provides essential building blocks for the remainder of the specialisation.
por Jeanne R•
Jul 10, 2020
Very basic information but it does walk you through things quickly and clearly. The final project could use a little proofing.
por Claudia R C•
May 29, 2020
The course is well structured and it covers various concepts, but I think it could be enhanced with more practical activities.
por Ashutosh A•
May 22, 2020
The course is helpful to understand the basics of data analysis, big data, etc. more focus should be given to assignments in R
por Teresa E•
Dec 30, 2019
This course is a basic conceptual introduction to data science and a glance at RStudio and Github. It is very easy to follow.
por Ian J A•
Oct 09, 2019
Great course! However, the manuscript for module 4 is missing. Please fix as soon as possible to improve quality of lectures.
por Sorasa E•
Mar 09, 2019
The content is amazing and easy to understand for the new student. However, the assignment question/instruction is confusing.
por Stuti M•
May 14, 2018
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.
por Taimoor G•
Mar 12, 2018
It's too easy for 1 month course.
Make it harder and make it shorter. Perhaps combine intro to R programming and this course?
por Graham C D•
Dec 05, 2016
Great course to get you setup - don't expect to learn anything besides getting the correct software and file sharing profile.
por Hande K•
Mar 26, 2020
Very useful course to start learning data science. Explains things clearly. Some explanations could have been more detailed.
por Adam D•
Aug 22, 2019
Good overall. It would have been helpful to have more context or examples for the modules on version control and R Markdown.
por Travis A•
Aug 11, 2016
Great course that allows an introduction into the world of the data scientist. Some instructional videos could be improved.
por Melinda T•
Mar 30, 2016
Good course. Short and sweet. Nice to be able to access future weeks' lessons and finish ahead of schedule if you wish to.
por Dr. A R•
Jun 07, 2020
Amazing and very simply going course. Learnt the basics of Rstudio and GitHub in a very simple manner. Thank you organisers
por Susan S•
Mar 18, 2020
Great introductory. Some of the instructions were a bit vague at times - instructions RE code could have been more precise.
por ANKIT N•
Jan 02, 2019
Course is in simplified way. student can easily understand the whole course. Makers made best efforts in making this course
por Qing Y•
Sep 04, 2017
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.
por Srikanth S•
May 27, 2017
Was a great introduction. However, i felt, some of the lectures was very fast and i had to pause it constantly to try out..
por yaw o a•
Jan 02, 2017
Quite a fast course. Material is a lot though and would be quite daunting for someone completely new to this sort of stuff.
Nov 14, 2016
I found the way in which John Hopkins present the course, very valuable. Well structured, although the pace is quite fast !
por Luis C H•
Sep 13, 2016
Maybe too easy for some people, but is ok to ensure a minimum level in order to enroll other courses in the specialization.