Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
(243 Reviews)
(1056 Reviews)
Top reviews
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.
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.
6651 - 6675 of 7,152 Reviews for The Data Scientist’s Toolbox
By Migdonio G
•Feb 11, 2017
Too little material for 4 weeks. All this could've been written in a PDF instead of videos.
By Mark P
•Oct 11, 2020
the computer voice is very hard to handle.
low production value of the course in that part.
By Kapeesh
•Jul 26, 2020
Video lectures where TTS, not at all engaging. Thankfully, text material was well written.
By Shahrooz
•Jul 22, 2016
Overall the course content is good, but the power points are not engaging and interactive.
By Mantra B
•Jun 27, 2020
Very Basic level. A little difficult to stay focused without having an instructor around.
By Sadanand U
•Aug 19, 2018
Very basic, may be a bit more use cases on Git would have been useful. But that's just me
By Uian S
•Nov 23, 2017
Few content for an entire course. I think this one could be together with R Programming.
By Ali A F A N
•Apr 12, 2020
Wasn't as good as I expected, but still I learnt from it, I can say it's above average.
By Andreas L
•Dec 3, 2017
I am aware that this is the introduction to this topic but it was a bit long-drawn-out.
By Juan J E
•Oct 22, 2017
I was already familiar with some content. it was a good starting point for may training
By Craig G
•Jan 27, 2017
A good intro to the tools, but for anyone with prior programming experience unnecessary
By Debanjan D
•May 25, 2019
Okayish course. This course will give you an introduction in RStudio and Data Science.
By João P S
•Sep 7, 2017
Too few activities for the time allocated. I completed this course in 4 periods of 2h.
By Danyal B
•Jun 7, 2017
I think the project became very confusing since no examples were done in the lectures!
By Seçkin D
•May 20, 2016
I think this class is best for academic people. I did not find what i was looking for.
By kheman g
•Aug 5, 2020
This is a very basic of the course where I learned so much about the different tools.
By John Y
•Jul 8, 2017
This could be wrapped into one of the other courses since its just environment setup.
By R G
•Jan 17, 2017
Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.
By Ankush K
•May 31, 2017
A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.
By Drake O N
•Mar 17, 2017
Good starter setup. Looking forward to the technical portion of the Specialization.
By Yash D
•Mar 24, 2020
the course is good but the language is little bit hard because it is auto generated
By John P
•Aug 24, 2017
peer review was sporadic, had to redo several assignments based on language barrier
By LUIS E M H
•Nov 12, 2020
Una buena introducción de los fundamentos y herramientas para el trabajo con datos
By Snow L
•Nov 17, 2020
This was a good intro for novices, except the automated robot voice was annoying.
By João “ L L
•Dec 31, 2019
It`s too introductory. The methodology with an IA voice it`s not comfortable yet.