AG
10 de may. de 2020
Great course.Coursera provides wonderful opportunity for analytics learners through the course.Well designed course packed with assignments.Just Loved every lessons of the course.Thank you Coursera.☺
SW
7 de may. de 2020
This was a good and challenging course. It really gave me the basic foundations of marketing.
It challenged me to think and I enjoyed the projects that were incorporated to give hands on training.
por Chinenye O
•18 de ene. de 2021
When I started the course, I didn't expect it to be this intense. It was detailed enough. I learnt a lot from the study.
Thank you.
por Anu P
•21 de jul. de 2020
because there is always a possibility to do better or may be because i don't know what else should be included. But great course.
por Thea B
•22 de jun. de 2020
This was an amazing and challenging course. Perfect for those who want to add more knowledge about various aspects of marketing.
por Savinay K S
•19 de sep. de 2019
Going good So Far.. Only issue is we did not discuss how we arrived at the numbers shaded in green. Like R Squared and P value.
por NIVEDKRISHNA T 1
•10 de jun. de 2021
Raj sir was a great teacher, humble and happy gave a very positive vibe. The vegetable inclusion for the tough math's was fun
por Nikhil K
•10 de mar. de 2020
The course had very practical touch to it. Prof Raj is very adept at explaining idea in a manner that it sticks in your head.
por Loh H X R
•11 de jun. de 2020
Useful, would be interested in taking a further course about R programming in sentiment analysis and regression modelling
por Jeff A
•2 de may. de 2016
Good intro course to marketing analytics! Professor is a little goofy with his squash, but it's endearing after a bit.
por Rohit K K
•11 de jun. de 2020
This course covers a lot of topics of marketing analytics. A very informative course and good assignments at the end.
por Omar M
•21 de abr. de 2020
Gives enough knowledge to kick off in marketing analytics. Could have been more thorough. Thanks Raj for the effort.
por Joost Z
•27 de ene. de 2021
Would be worth more if it showed you how to execute the regression in statistical software, like excel, R or SPSS.
por MURALI K H
•10 de jul. de 2020
This is basic 101 course on analytics, useful but need to take more courses and data analysis to work in industry
por Suraj G
•28 de dic. de 2020
A really good insightful course with real life examples to shed a practical light on theories learnt/discussed.
por RAPOLU S R
•4 de jul. de 2020
IT WAS A GREAT EXPERIENCE OF LEARNING ON THIS PLATFORM AND I ATTAINED A GOOD KNOWLEDGE ON MARKETING ANALYTICS.
por Data S
•17 de may. de 2020
I couldn't understand fully the math in week4 and week3 . The instructor must explain it in a more simple way.
por bk t
•19 de may. de 2020
Really enjoyed the course and is a great overview of concepts of using numbers to quantify marketing efforts.
por Patricia s
•17 de sep. de 2021
Great content, but some formulas could have been better explained. Also, some words were hard to understand
por Ashil T
•11 de jun. de 2021
5 stars if you could teach us more problems and how to solve those using the various formulas u thought us.
por Udit V
•12 de jun. de 2020
Raj is an awesome instructor. This course provided a lot of insights about real world marketing analytics.
por Aravinth T A
•9 de jun. de 2020
It is very useful . It explains the things in the manner that we can easily understand. Thats sounds good.
por Pulkit B
•17 de mar. de 2018
Overall a good course. Offers a lot to learn. However some imp topics must have more detailed explanation.
por Rajesh A
•28 de jul. de 2019
Great course with amazing examples. Thanks it was great learning different aspects of marketing analytics
por 真话 陈
•23 de dic. de 2017
never learn this, a basic understanding of marketing. a lot of real examples show the marketing, thanks.
por Vishal J
•5 de jun. de 2020
Great time investment for marketing Analytics with professor raj sir
Thank You sir for your valuable time
por Rishi B
•15 de abr. de 2020
The course could include usage of tools and more depth into analytics - logistic and bayesian regression