TB
Nov 16, 2021
I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University
JE
Oct 30, 2015
The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
By Mmoloki M
•Nov 22, 2020
REALY interesting course
By Jyoti K
•Oct 7, 2020
Very good course format.
By Eve D
•May 20, 2020
Very interesting course
By raghav s
•Dec 30, 2015
its very helpful course
By Nick P
•Apr 19, 2020
few clear explanations
By Vardges Z
•Dec 15, 2018
A lot of useful theory
By ZHANG W
•Feb 19, 2022
very good course
By Divya M
•May 13, 2020
Excellent course!
By Pranshu J
•Nov 29, 2015
Extremely helpful
By Raja K P
•Oct 6, 2016
Excellent Course
By Deepak S
•Jul 11, 2017
Good course!
By Tan E
•Feb 2, 2019
Very useful
By Chuang M
•Feb 6, 2016
Good course
By Angel S
•Feb 5, 2016
Very useful
By SAHANA S R
•Apr 1, 2021
its useful
By Felipe P
•Dec 15, 2015
Excelent!
By Jay K P
•Dec 3, 2015
Awesome!!
By Zewei R
•Aug 7, 2019
too hard
By Foo J W
•Jun 17, 2020
tough!!
By K C
•Jan 4, 2016
Love it
By Ansar A K
•Jun 26, 2021
good
By Akash K
•Dec 17, 2020
Good
By Zhengfeng Y
•May 25, 2016
Go
By Francis K
•Jul 24, 2021
I feel that the course title is inaccurate as it is more about statistical concepts and their application as opposed to learning analytics using excel. This point has been raised by several past students.
Having said that, I learned a great many news concepts which I can apply in my professional field. I would suggest that having the students make their own excel models would both give them experience in working with excel and also make it much easier for them to arrive at answers to quiz questions. I spent more time trying to navigate the large excel spreadsheet prepared by another person and to learn how to use them with no roadmap, that it took to arrive at answers to the quiz questions.
I also found it hard to follow the shift from on topic or video to the next and had to go over these several times. I felt there was no smooth flow of concepts and sometimes a concept was introduced with no direct relevance to preceding ones. i.e. a disjointed flow of information/presentation. Its decades since I was last in a class setting so maybe things have changed with online classes.
Overall a tough course to go through but given the complexity of some concepts to newbies and the potential this has to open the world of ML, AI and Big Data to many people I would still rate it a 3.
By Lidia B
•Jan 28, 2021
The course information is great, and my expectation was that the main focus will be on learning how to manipulate data with excel, Tableau, and SQL. The Mastering Data Analysis in Excel course part fully revolves around the Binary Classification concept and a student can't pass the quizzes without knowing and understanding it in entirety. Maybe the course title should have been more specific, such as "Mastering Statistical and Binary Classification Data via Excel Analysis". In order to avoid having students drop out before getting to the topics that made them sign up for the full course in the first place, maybe there should be a more generic emphasis on the Binary Classification topic and not focus on it as a career goal.
Also, just a note: if former Duke students who work at Argus, Google, or other companies happen to use Binary classification as part of their jobs that does not mean that every other job involves the same tasks and requirements.