Mar 01, 2016
I really enjoyed this course. I liked the professor's teaching style as well as the materials the course provided. All the knowledge I've got from the course helps me when I do research online.
Apr 13, 2018
Very well delivered content - having the slides to review ahead of the videos was very beneficial and I found the readings were very to the point in support of the content being delivered.
par Asfandyar S•
Dec 31, 2018
The course material was not detailed. It was way to high level to understand the concepts. As compared to the previous 2 courses in the whole specialization, this needs to be improved.
par Jorge C•
Feb 20, 2019
I don't think the example were practical enough.
Mar 26, 2019
This course is very light on actual practical application of analytics. It's more theory than anything.
par Angeline M•
Feb 06, 2019
For a foundational course, it was very, very good. The only thing I would have wished was to be Hands on with R as well as Tableau. It would have really made me 150% happy with the price that I was paying. Maybe it is the timing. Maybe it is a way to motivate ourselves to learn it.
I do like the fact that he protected us from getting banned from certain sites through free api access But, all in all, it was very nice. I really, really wanted to get hands on what analytics but i will go to other platforms where it is alot less costly or free to learn the things that I havent here.
par Priti M•
Dec 19, 2017
Overall the course Digital Analytics in Practice touched many aspects of digital analytics web world but I found the course a lot theoretical even though it says "in practice". The It was like a constant puzzle to gulp lot of information on types, channels and methods of analyizing data at a given video without actually practicing literally. An assignment would have been better to make the videos understand better. To be honest this is the only course I am not confident about amongst all the three courses I have taken so far.
par Gargayee N•
Feb 22, 2017
hands on experience based content would have been appreciated, Its a good course.
par Jennifer B•
Mar 05, 2017
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.
Feb 18, 2017
the information is outdated, and I have find some examples, services not working anymore. during the course.
par Luo J•
Feb 16, 2017
I wished the content and the tests were more challenge.
par Maria Y M d C e S•
Apr 16, 2017
par Pascal A S•
Jan 22, 2018
par Khushkool K•
Jun 26, 2017
Good course material. It should focus more on the tools rather than the theory part of it.
par Andrew O•
Feb 04, 2018
I'd have liked an exercise where you take some dataset from some company and actually apply this. I felt the exercises were a bit easy. This isn't the sort of thing you learn or apply via essay.
par Shalakha P•
Mar 15, 2016
The course is very informative for those interested in data analytic and want to go for market research kind of jobs.
par Krisztina F•
Jul 21, 2016
Even though the theoretical part was well put together, case study questions were too vague and should have been better thought out. This part of the specialization did not meet my expectation.
par Nikhil K•
Oct 26, 2016
nice but doesnt give you much knowledge
par Spyros A•
Oct 17, 2017
I expected more hands-on exercises
Jun 21, 2018
Overall the course is good however don't have much practical excercise, also personally feel is a bit short for data analytics learning.
par Nikhil N•
May 08, 2018
The nam says theory but it was kind of too much of theory without examples
Jul 14, 2017
Jun 17, 2016
I expected it to be far more
par Thomson J•
Feb 17, 2017
Good course for basic information about digital analytics.
par Lotfi A•
Dec 07, 2016
The content is definitely interesting. But I didn't see any "Practice" there... I didn't really get the difference theory vs practice between this course and the previous one "Digital Analytics for Marketing Professionals: Marketing Analytics in Theory".
Sometimes the assignments were not very interesting, and didn't always help practicing the content exposed in the lectures... For example, the piece about the different statistical tools: I didn't get why it was included in the course... either we do exercises on it, or it shouldn't be in the course... but there is not point of knowing by heart the differences between the different statistical tools.
The part about the customer decision journey, the plan for analytics, and the different analysis techniques were very interesting. I would have liked to see and practice more concretely how to collect data (e.g. how to perform clickstream analysis), etc.
And the lectures should avoid general tips and guidelines (like "5 things to avoid in order to"... the web is full of this kind of content)... I mean, it has to be "in Practice". And the professor should know exactly the content of his slides, and prepare his speech.
Lastly, a lot of the suggested readings were from a blog that is really horrible to read... The author of the blog might be very knowledgeable on his subject, but his blog it is full of useless jokes, very long to read... I mean one of its articles could 3 times shorter if he gets straight to the point
par Ashley A•
Nov 14, 2015
Fruitful course(mainly last few lectures) on data presentation.
par Neda H•
Jul 08, 2016
not enough practical examples. the information is providede on a bit higher level