Sep 10, 2017
This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.
Jan 02, 2018
It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,
von Ravi K S•
Apr 02, 2018
The course content was fine, but I faced some issues with the Quiz content. I don't know if it was browser issue or the website itself, but on my various attempts, the same correct answers were reported as incorrect, occasionally. I had a hard time completing the Data Scientist's Toolbox quiz - despite providing correct answer in the first attempt, it was reported as wrong, and so, I never chose it again. This way, it is frustrating as well as confusing, breaking my confidence, and making it hard for my brain to memorize and recall the correct concepts.
von AHMET E•
Nov 28, 2017
von IRFAN K•
Nov 27, 2017
There were too many questions based on interpretation :/
von caroline l•
Mar 11, 2018
Good basics, but basic and you really need to have knowledge of many Data Science terms before you start.
von Murat K K•
Oct 22, 2017
As an economics student, this one week course helped me a lot.
von chenlong c•
Nov 04, 2017
Great concept about data scientist
von Stephen K•
Feb 04, 2018
Some of the lectures/rers were better than others, but on the whole I got what I wanted from the course. 5-6 hours' investment, so not too much.
von Suman C•
Feb 24, 2018
Quizes could have been a bit tougher.
von Supriya M•
Mar 11, 2018
Excellent introduction to the con
von Aishwarya K•
Mar 26, 2018
Felt a little confused sometimes. I hope the videos can be a bit more detailed and clear with their flow
von Rokas N•
Feb 20, 2016
The course touches upon most important topics in Data Science but doesn't go deep into the topics:
- Covers most important important topics in Data Science on high level.
- Course works as a "refresher" to follow the course you should know the basics in statistics and modelling. Concepts like parsimonious model would be used with expectation that student already knows it.
von Ramaswamy V•
Apr 14, 2017
The course can be described as the first hour lecture by the professor. It introduces students to data science, its uses and pitfalls.
von Ketan B•
Jul 04, 2016
Good introductory course for Data Science
von Iuri V d J Q•
Feb 07, 2016
While to introductory, yet very good.
von Melissa B•
Jul 29, 2017
Good information on the basics in data science - presented in understandable format.
von Jeremy H•
Aug 10, 2016
It would be good to be able to complete the quizzes even if you are not paying for the certificate, this would enable people to understand how much they have taken away from the class.
von bruce b•
Jul 29, 2016
von Árvai M•
Sep 20, 2015
I really enjoyed this course, it gives me lot of new, interesting knowledge about data science, But there are some mistake about good (clean) programming. Please do not use comments, the comments show strange code, do not write big function etc... Clean code book from Uncle Bob helps me a lot of to write clean, maintainable code.
von Seraphim A•
Dec 11, 2015
A very good intro to Data Science by three experts. Well-paced, with reasonable quiz questions and can be completed in less than a week. However, I would certainly not pay for it, because it is feels more like a well-designed ad for the spesialization that follows!
Aug 02, 2017
Good Overview of Data Science for starters
von Marek N•
Sep 07, 2016
Very good and brief overview of the topic.
von Augustina R•
Dec 25, 2016
Really good quick and dirty high level overview of how to structure and talk about data science projects. Great for improving communication about your project to your boss and people from outside of your team.
Feb 25, 2018
More examples would be awesome for beginners like me
von Mercedes B•
Sep 24, 2016
A very good introduction to Data Science!!
von Clifton d L•
Nov 20, 2017
Great intro, especially if you have no knowledge in the field.