(243 Reviews)
(1056 Reviews)
SF
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.
LR
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.
By Kirsten M
•Aug 31, 2016
As someone who knows little to nothing about computer language this is very easy going and the TA's are very knowledgable.
By Víctor M
•Jun 29, 2021
It's a great program. Excelent and updated information. I'm feeling motivated to continue studying this kind of subjects.
By Oscar E G
•Sep 22, 2020
Es un curso excelente para conocer las funciones básicas y las partes mas útiles para el flujo de trabajo con R y Rstudio
By Sathishkumar V
•Mar 30, 2020
Such a wonderful course, Good way of learning practically. I learned to use RStudio, GitHub and Version Control practice.
By Pushkar B
•Mar 18, 2018
Some of the videos which had the screenshots were not clearly visible. Also the sequencing of the course can be improved.
By Grace B S
•Nov 5, 2017
This course got me excited for more things to learn and discover about data science. It's really very helpful. Thank you.
By Priscilla V
•Apr 22, 2016
O curso é muito bom!
Ele faz uma introdução aos principais conceitos de Big Data, mais especificamente a análise de dados.
By Jay Y
•Jul 15, 2021
Course material is very good. Thank you for starting with the basics and morphing into setup and version control system.
By Elayni E S F
•Jan 14, 2021
The course is clear and objective. If you want to start in data science and don't know anything, this course is for you.
By Yechie L
•Nov 19, 2020
Very good course for beginners. It give you a good perspective on what is data scenes and how to start thinking as such.
By Kalash P
•Aug 6, 2020
This is a great way to start learning R. Of course, it should not be taken as a stand-alone course as it is quite basic.
By Jorge U P J
•Jul 25, 2020
Strongly recommend to anyone involved with Data Science in the graduate level. Many important concepts e tools to learn!
By Jonathan R
•Jul 9, 2020
This was such a well laid out course, and my first I have taken on Coursera. I am looking forward to future lessons now!
By Jose E S
•May 28, 2020
Has an excellent yet gentle introduction to the topic and tools needed. Explains concepts very concisely and cohesively.
By Matt M
•Dec 18, 2019
Kind of boring, but a useful, "spoon-fed" introduction to data science, GITHUB, and R, and connecting the two platforms.
By Nicholas B
•Oct 2, 2019
Very helpful introduction to the field of Data Science and helpful guides to downloading important programming packages.
By Muskaan D
•Apr 17, 2019
It was very helpful, just dipping your toes into data science. As a beginner, this course can be a great starting point.
By Andrea A
•Mar 22, 2019
As a person who had no idea on this matter, I learned quite a lot. It was easy to understand and to follow instructions.
By Glenn W
•Dec 28, 2018
Great Overview of the Tools - Git, GitHub, R and RStudio - as well as Data Science. Looking forward to the next Course.
By Prasun K
•Aug 15, 2018
Course vividly explains the working of Git and Github as well as clearly introduces us to the R programming environment.
By Margaret A
•Mar 13, 2018
Great overview of what data scientists do and how they do it. Looking forward to more Data Science courses on Coursera.
By pankaj g
•Jun 14, 2017
Good way to start course generally information about tools are not taught which makes it difficult to manage code later.
By Yuxuan Z
•Jul 30, 2016
As a preparation class, I think it covers all the necessary things and made me very interested in the following classes.
By Susana Q
•Jul 16, 2020
I would like to know if there is someway I can defer the deadline for this course. Is for this upcoming Monday, thanks!
By Waqas M
•Apr 21, 2020
This course is perfect for beginners. It contains basic topics to learn but the content may be covered in 2 or 3 days.