REALY interesting course

Very good course format.

Very interesting course

its very helpful course

few clear explanations

A lot of useful theory

very good course

Excellent course!

Extremely helpful

Excellent Course

Good course!

Very useful

Good course

Very useful

its useful

Excelent!

Awesome!!

too hard

tough!!

Love it

good

Good

Go

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.

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.