Jan 11, 2016
Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.\n\nThe lessons are well designed and clearly conveyed.
May 28, 2016
I like the breadth of coverage of this class. Each of the exercise is a gem in that I get to learn something new also. I would highly recommend this even to experience practitioner also.
교육 기관: tuzunkan•
Dec 06, 2015
Lost in details. Professionals(btw I hold a MSc degree in Computer Engineering) cannot get anything from this. What is the point of writing frequency.pl where there is a hist() function in R? If the instructor is trying to teach us how to program in any language, then I can assure you the data science class is not the right place. I recommend the instructor check ESSEC Business School for analytics subject to better comprehend the Coursera and its goals.
교육 기관: Lloney M•
Nov 03, 2017
The course info makes no mention of Python as a prerequisite. Yet the first assignment demands Python knowledge and skills. Without which you can't pass the assignment. Yet the week's lecture is not about Python.
교육 기관: Andreea D L•
Feb 06, 2016
Th first three classes are very 'thin' in content and the assignments are easy. The fourth class is basically optional and it has TONS of content. What's the point?
교육 기관: Aitor G R•
Feb 20, 2017
Outdated, unintelligibly exercises, terrible lectures.
교육 기관: Catherine Z•
Feb 19, 2016
Poorly designed videos, too long and confused
교육 기관: FilippoV•
Sep 19, 2017