Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual
introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in
the program like version control, markdown, git, GitHub, R, and RStudio.
(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.
NB
Jun 2, 2017
Nice Course. Basics are very well taught in this course.Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.
6701 - 6725 of 7,160 Reviews for The Data Scientist’s Toolbox
By Mamar H
•Jun 25, 2016
A little bite long regarding the concepts number developped in this course.
By Ian W
•Aug 30, 2017
Easy course. Everything covered in this course can be found easily online.
By Mohamed A
•Jun 20, 2017
Nice introduction but not many new ideas i had recive, but thank you team.
By Hamza T
•Aug 9, 2016
A great course. But I still think there is a lot of room for improvement.
By Rajendra V
•Feb 26, 2022
Computer voice over is not a great experiment; everything else is great!
By MEHEDI H
•Jul 1, 2020
Need more friendly lecture, that's why we can understand topics easily..
By Vishesh k
•Jun 16, 2018
Sound quality for every lecture is very disappointing ,very poor quality
By Abhey K
•May 27, 2017
A good introduction to data science and the associated issues around it.
By Perruchoud A
•Aug 13, 2016
Extremely useful info, but the material is too shallow to be satisfying.
By Caio L
•Sep 12, 2017
Really basic, it's only necessary if you have no knowledge in the area.
By Mitchell S G
•Nov 12, 2016
Audio on videos was sometimes unclear. Course content was interesting.
By Nate S
•Jun 26, 2017
Mostly auditory discussion of concepts. Not so much visual or hands-on
By Aditya C
•Jan 4, 2019
Very basic...One must do the entire specialization to make any sense.
By Rupert
•Aug 31, 2017
Very basic. Probably unnecessary for anyone with some experience in R
By Isha V
•Aug 12, 2017
Please include some optional Quizzes/Assignments also for practising.
By Prasen M
•Apr 17, 2017
Very basic introductory course. Looking forward to the other modules.
By Juliana N
•May 12, 2016
The instructions for using git and git hub left a lot to be desired.
By Revanth T
•Feb 15, 2016
Very Basic Course. Doesn't require the time that was allotted to it.
By Matthew K
•Mar 10, 2016
Probably more useful for someone with no background in programming.
By Arslan R
•Feb 8, 2019
good for introduction. The sound quality is low. Can be shortened.
By Rustick T
•Nov 22, 2017
Ne présente qu'un ensemble restreint des outils du data scientist.
By rotem n
•Sep 13, 2016
too easy,
i wish we had more things do submit so we will learn more
By Haojun S
•Sep 12, 2016
The introduction of how to use github is undetailed in my opinion.
By Rakesh
•Apr 10, 2016
Too simple. Personally feel this can be clubbed with R Programming