Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
Top reviews
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.
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.
4851 - 4875 of 6,461 Reviews for The Data Scientist’s Toolbox
By Michael M
•A good course for identifying the field of data science and introducing the computing tools of the trade.
By Bernard O
•A simple introduction to R and data science. You have given me the appetite to know more and learn more.
By Guillermo C P
•Sometimes beginners MAC's users get a bit lost due to many explanations are only for Windows environment
By Thomas Z Y
•Straightforward, and I know what to expect for the next few chapters with John H University. Thank you!!
By Filipe M
•Good introduction to data science, however it should have more details and practical examples about Git.
By Eileen S
•Super basic introduction. I liked the last section reviewing data science methods and conceptual ideas.
By Lee D
•I think more detail statements are needed on PDF.
Because I'm not good at listening, so I studied by PDF.
By Shriya I
•Extremely informative & interesting, Instructions can be followed with ease. Worth the time and effort.
By John E F
•Excelente curso, porem diferentemente da descrição, existe legenda em português, apenas para um modulo.
By Satya P
•Structure, content and step by step practice was good. Interface to browse the courses could be better.
By Jay G
•Good start, looking to dig in more, as I already have a background in stats data analysis and data viz.
By Vicent G
•Quite simple. It could be more engaging.
When downloading PDF slides, links in them should be clickable.
By Cristiano L
•Good and objective course. Gives the basics about data science and how to get started with R software.
By Brandon W
•Good course. I felt the Git course went a bit too quickly (and I have experience with Git and Github).
By Sanidhya S
•Great cousre for starting in the data science since, it contains the installation and usage of tools .
By Danylo K
•From the begining of the course thats difficult to catch structure if you are new to the Data science.
By Russ L
•More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!
By Aliaa M A
•Brief and Excellent! Content great for anyone getting into software development not just Data Analysis
By santiago R
•Nice Course. Important to have a general idea about what is necessary and also useful for data science
By Matthew S
•great intro to stats concepts for data science and the programs. No real coding taught in this though.
By Victoria S
•Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.
By Saul H
•Really good. Just some minor issues with the automated voice and some typos. All in all great though.
By Nivedh R
•Good, simple introduction to the specialization. Accompanying PDF slides would be great if clickable.
By Siert A
•Very good introduction. It is a very basic, but much needed step. Setting up the tools you will need.
By 徐凡洁
•nice course, but it would be better if the teacher can give us more details more about git and github
Coursera Footer
