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 Vojtěch K•
Feb 2, 2016
It is unfortunate that I was only able to audit this course and not take it for free without the Coursera certificate, as it is currently not possible for me to pay for the whole course.
By Alice W•
Jan 24, 2021
Good stuff, though there are some changes I had to figure out as Github and other things with my Mac have slightly changed. (Though being a data scientist is about figuring things out)
By Yuvaraj A P•
Sep 18, 2020
Good basic and well structured. What could have been better is the assignment and evaluation criteria. Possibly having result based evaluation would be better. Overall enjoyed learning.
By Ahmad A•
Apr 24, 2017
greet efforts to learn us about Data Scientist's Toolbox, thank you very much
just one comment, it's about the instructor talking speed .. it was too fast and was not easy to keep focus.
By Yatin M•
Oct 20, 2016
A gentle start to the 10-course data science specialization. Would not recommend taking the course just by itself. If you're planning on the specialization, it's a great way to easy in.
By William K•
Apr 10, 2018
This is a good introduction the tools, however I had some issues with Git Bash and Git Hub, which was nor really answered in the lectures, could update the lectures with a live example
By Abdullah A•
Jan 22, 2021
The course lacks the human part, since it is only a robotic voice, with no emotion and excitement.
But apart from that the course content was good and easy to follow for the most part.
By Nikhilendra M•
Aug 26, 2019
The final assignment was really helpful in implementing what we learnt through the course. Some more details on the integration between Remote & Local folders would have been helpful.
By Xavier C•
Jun 25, 2018
Havegreatexpectationfortherestofthecurriculum.Visual presentations could be substantially improved, including the audio volume. But in general, great start down the Data Science path!
By Rajanikant T•
Aug 31, 2017
This is just a basic overview into the world of data science. I would recommend only to the students just starting out in this field. Still, is a good course starting out. Have fun !!
By Fouzi T•
Aug 12, 2017
Thanks to Johns Hopkins University for this helpfull course. It helped me a lot to understand the fondamentals of what data science is and the bueatiful tools used by data scientists.
By Ximena V•
Jul 17, 2016
All excellent and a very good introduction. I wish I was able to get my quiz graded without having to pay just to see if I was learning. For the rest, I recommended for a great intro.
By Pat S•
Apr 21, 2018
This course describes the overview and useful tools for doing data science with less details. The material only prepare you for taking the other courses in the specialization track.
By Felipe K H•
Apr 4, 2017
Overall the course is very good and well paced, but I believe it could be a bit more clear in the git and github lessons on how to push from your local repository to your remote one
By Stella L X T•
May 30, 2020
Not bad to start off with! It teaches installation of all the required things for starting off R (e.g. RStudio, GitHub), and gives a basic understanding of experimental design too.
By Javier A P O A•
Jan 27, 2020
Al inscribirme en la especialización figura el español como uno de los idiomas en los que se dicta, pero no estaba disponible para este curso, por eso lo clasifico con 4 estrellas.
By Zili D•
Sep 16, 2018
Great course. But sometimes it's a little bit difficult to follow, because the instructor just listed those Git commands without actually demonstrating how to use Git step by step.
Sep 8, 2018
I was already familiar with the stuff taught for the most part. I think they should do more tutorials on how to install and do things though for those not experiecned enough in it.
By James C•
Aug 12, 2016
Good introductory course pointing to background reading materials and providing context for following courses as well as supporting the installation of the required software tools.
By Samin B•
May 31, 2022
This is a great introductory course to what it feels like to be a data scientist or analyst. It teachs the proper culture and etiquette carried out in the data science community.
By Debabrata G•
Apr 25, 2022
The basics were well explained but the robotic voice is not engaging and I understand and appreciate the reason behind using it but further development in speech synthesis needed.
By fisica f•
Jun 8, 2021
Es un curso basico para entrar en el mundo "Data Science" es imprecindible complementar este curso inicial con otros , sobre todo por que se necesita mas conocimiento con Rstudio
By Renzzo S S•
Oct 31, 2020
Excellent course to start from zero! if you have some knowlegde or a little of selflearning you can only take the weeks that has theory, others are how to install R and its tools.
By J. E M•
Jul 9, 2018
Seemed simple, but had to figure out some things that weren't explicit in the videos for the exams. Helped in my learning, but frustrating for a very pure beginner in programming.
By Pinko W•
Sep 7, 2017
Professors could extend the videos by more examples and illustration for deeper understandings of the students. The tests could cover more items and deeper contents of the course.