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.
by Karen P•
Mar 31, 2018
The class definitely eased a new learner who is unfamiliar with the concepts and skills. There are areas in this class that seemed outdated an made the class a bit confusing. Hopefully, those can be update in time.
by Karen H•
Mar 10, 2016
This introductory course is a good overview, goes pretty quickly through the basics, and gets you prepped for delving deeper in the subject matter. Planning to sign up for the next course in this certificate program.
by Nick S•
Nov 01, 2019
This course was fantastic, I just wish that there was more interactive work within the lesson's versus only in the final project. I believe that would help the material set in faster and better. Overall good course.
by Delaram A•
Apr 08, 2020
The content of the course was well-structured and useful. But unfortunately I could not use the videos very well. The robot voice was so annoying. I think the human voice is more soulful, pleasant and encouraging.
by Mixalis K•
May 21, 2017
It was very exciting taking this class because i learnt about the conceptual ideas of data scince wich was my goal and the fact that i started using some data science tools also helped in understanding the issue
by José F E K•
Nov 20, 2018
I think it's a great course, but because it's the course on tools for a data scientist, it would be a more effective approach if it contained more information about many other tools used by those professionals.
by Morgan W•
Jan 18, 2016
Good introductory course. Learnt a more structured approach to categorising statistical methods. Much of the rest of the content was a bit basic, though probably useful to fill in any knowledge gaps pre-course.
by Eryka W•
May 12, 2020
This was a very good overview of what a data scientist needs. The information was presented clearly and it was very helpful to do projects along with the seminars to start learning R, R Studio, and R Markdown.
by Muhammad B•
Jan 28, 2018
Author was speaking to quickly, its was every difficult to understand for me as non-native English speakers. An other thing that i notice is that the error message was completely misleading. Should be improved
by Andrés C•
Oct 05, 2016
It is very clear and useful course. It holds one hand to go sure through the contents. Anyway, I would suggest to end at certain point doing something simple in R, to give an end to this chapter in this story.
by Sandhya S•
Jul 13, 2020
I felt something in detail was required for GitHub and RStudio. There were repetitive questions asked. Those can be removed and only one question should be asked with repeating it in any of the questionnaire.
by Benjamin S M•
Jun 28, 2020
Simple and easy, but also essential information. This was a great course for beginners using R, R Studio, Git, GitHub, and for anyone who wants an introduction to data science, programming, and data analysis.
by Saloni R•
May 20, 2020
This course gave me a great headstart to step into the field of data science with more confidence. The lectures are very well created, scripted, and delivered using the Amazon Poly.
Overall a great experience.
by John S•
Nov 14, 2016
Very good pace, sequencing, and mix of lecture and practice. Only suggestion is a bit more time on the "Add", "Commit", which appears to be a very core element of file handling/version management with GitHub.
by Jiapeng S•
Nov 14, 2019
I used 7 days free trail first and then purchased it, then I found almost all the videos and works in free trail version are different from purchased version, can't understand why the institution did that.
by Baurjan S•
Apr 13, 2016
The first week's quiz is really difficult and I had to go through the lecture material several times. Because of the great number of very short lectures it is difficult to find an asnwer to sought question.
by Julian M D C•
Apr 26, 2020
The content in the course is very helpful as an introduction to Data Science. There is no enough material to 4-week study. I finished the course in 3 days at a regular pace. Robotic voice is a bit annoying
by Tales T d S P•
May 16, 2016
There were lectures about how to install R and RStudio on Mac and Windows. And the quiz asked about information on these lectures. You must pay attention to them even if you have previously installed them.
by Angie M•
May 24, 2020
Seems like the lessons are using an older version of R. BioConductor repo packages instructions need updating. Otherwise, this course gives a good intro to Data Science and how to use RStudio with GitHub.
by Vivian G•
May 12, 2020
This course gives you a nice overview of the very first steps in dealing with your data. It explains very well how to use GitHub and RStudio.
The mini-quizzes (3 questions) are a bit useless in my opinion.
by Pranali S L•
Jul 22, 2020
Course was Excellent . I have learnt many things from this course which will be very helpful in future .My suggestions will be -framing of questions should be more exact.,so learner will not be confuse.
by Luis C•
Nov 17, 2016
El curso tiene toda la orientación a ser la primera parte de toda la hoja de ruta de la especialización de data science... En solitario no aportará prácticamente nada pero como punto de inicio, promete.
by Wenting T•
Mar 23, 2016
The course is in fact an overall intro to the full data science specialization. Some of the content are useful; but some of the quiz questions are not very informative, and don't really test on stats...
by Rose E•
Apr 15, 2020
It would be nice to have the R Studio and GitHub training with more guidance and proper syntax and coding for both and I would prefer it after the R programming course. Otherwise, good content overall.
by Marcus F•
Apr 13, 2020
Yeah, the robot voice is annoying. There needs to be better instruction on getting R Markdown to work. I tried in vain and gave up on it after looking at multiple forums with my same issue. Oh well.