Sep 7, 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.
Apr 14, 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.
By David R•
Mar 7, 2020
Excellent course. I found it particularly hard in the first two weeks. Practical exercises were intense. Discussion forms really helped out.
By Karthik R•
Jan 16, 2017
Very good in setting up for the next courses. I would like to see more on Git though because I could have definitely understood it a bit better
By Douglas R•
Jul 16, 2016
With my background I found this part of the course rather slow, but I can see why it's necessary for people with less of a software background.
By Verónica B V•
Feb 4, 2022
the course is really good, just consider if you like more courses where there is a tutor talking to you maybe you can take a different course.
By Jeff L•
Feb 1, 2021
Computer voice was a little to quick to move on in some portions of the course. Particularly when trying to type code in R Studio or Git Hub.
By Nick M•
Jun 29, 2020
Nice way to teach but more example related to bio medical please add more example like finance and technology and please check out while study
By Kingsley B•
Jul 22, 2019
Liked the course and completed all the quizzes and project. But couldn't submit and earn a certificate because I can't afford to pay the fees.
By Mel A•
Feb 7, 2017
The course is a real beginner's guide to the world of data science and gives a good introduction to some of the tools used by data scientists.
By Heiko R•
May 27, 2019
The course was well laid out and covered the basics of definitions as well as setting up R, RStudio, GitHub and showing how to use RMarkdown.
By jason l•
Apr 29, 2022
fast paced and a bit convoluted for an introduction compounded by the computer generated voice. Some of the screenshots are a bit outdated.
By Glauco P S•
Jun 30, 2020
I do understand why they used automated videos in order to keep all the material as updated as possible, however it is a strange experience.
By Judith W•
Apr 2, 2020
It is a good course to get familiar with the basics, however, I would have liked a little more actual content. Week Four I enjoyed the most.
By Suryakant S•
Feb 7, 2020
I liked the course as it helped me to understand the basics of R programming including the installation of R studio and linking it to GitHub
By Leul B•
Nov 2, 2016
Pretty great introductory course on types of data analysis. I can't wait to see how this builds in the future courses of the specialization.
May 5, 2016
Nice course for Beginners, No complains regarding course material, however there is little bit audio issue in some slides as it is bit low.
By Peter E•
Feb 14, 2016
Great Course! Overall I would recommend. Had a little bit of trouble b/c I am using a Mac but after a few Google Searches I was on my way!
By Brandon P•
Jan 20, 2016
Great course! I would recommend compressing the audio on the video presentations so it's easier to hear and more consistent in volume level.
By Ashe G•
Apr 28, 2020
This course is nice kick start for the upcoming courses but the course could have been even more interactive . over all nice experience .
By Kadimisetty H S P•
Jan 12, 2020
This course helps many of us to get started with R and R studio. It also explains about some famous terms in data science and statistics. T
May 23, 2019
Everything was perfect except the Git and Github part. It was confusing. I ended up not using what it has teached me to pass the final exam
By Girish V V•
Dec 28, 2018
Quiz in final submission related to usage of toolbox Rstudio, like loading new packages will add more value and will help the learners also
By Francesco M•
Dec 28, 2017
Good introduction on Data science specializationi. I highly recommend to all people that would like to know more about this fantastic world
By John W•
Jan 9, 2017
I knew most of the material in this course already, but I thought it was a good introduction to some of the tools that data scientists use.
By 辔己 P•
Sep 27, 2021
For someone who has never used Github, I feel the instructional materials are a little bit confusing. Video demonstration would be better.
By Olivera D•
Jun 11, 2020
The automated voice of the lectures is dehumanized. It is less productive and focusing learning from a machine, but the material was good.