Thoroughly enjoyable "journey" for this course. The syllabus was great, very well structured, thus easy to follow. Each module, including honors, can easily be completed in a day if you have the time.
thoroughly enjoyed the course. A big thanks to Instructor Kevin hartman for this perfectly organized course. Materials were on point and easy to understand. Got entirely new observations on analytics.
par Jennifer B•
This course was a let down. There wasn't enough practical or real world examples to practice with. Good candidates would have been software companies in the SaaS space.
par SHASHWAT G•
The course was fine, but I wanted to see more practical ways like the instructor showed google trends. More tools hands-on should have been discussed.
Overall the course is good however don't have much practical excercise, also personally feel is a bit short for data analytics learning.
par Saumya T•
I was expecting some data analysis techniques as well. Please statistics also such as the use of regression, inferential, etc.
par Devon M•
This is very much a primer. I was hoping it would go into more detail than it did, but I did find it a very helpful overview.
par Shalakha P•
The course is very informative for those interested in data analytic and want to go for market research kind of jobs.
par Pedro C•
Presents a useful analysis framework, but with limited practical examples to learn how to use analytical tools.
This course is very light on actual practical application of analytics. It's more theory than anything.
par Khushkool K•
Good course material. It should focus more on the tools rather than the theory part of it.
par SEDA N D•
This course was a brief intro to digital marketing analytics, not what I expected.
par Gargayee N•
hands on experience based content would have been appreciated, Its a good course.
par Neda H•
not enough practical examples. the information is providede on a bit higher level
par Lipan G•
Apart from theory some practical lessons in R could have been implemented.
par Nikhil N•
The nam says theory but it was kind of too much of theory without examples
par Sangeeta D•
The course could have had more practical application based assignments.
par Xueyan X•
Informative course; messy organization (readings, assignments, quizzes)
par Elsa V•
This course explains excellent materials. But no hands-on practice.
par Ashley A•
Fruitful course(mainly last few lectures) on data presentation.
par Arvy S•
Same as the theory class not much examples or case studies....
par Thomson J•
Good course for basic information about digital analytics.
par Luo J•
I wished the content and the tests were more challenge.
par Priyanka A m•
It was good but expected some more technical aspects
par Harinarayan B•
ID verification takes too long. Please look into it,
par Viktor K•
Not much practice, very primitive examples and tasks
par Kanakavally R•
It gives an overview of various tools available. But