SW
7 мая 2020 г.
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.
AG
10 мая 2020 г.
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.☺
автор: Chinenye O
•18 янв. 2021 г.
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.
автор: Anu P
•21 июля 2020 г.
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.
автор: Thea B
•22 июня 2020 г.
This was an amazing and challenging course. Perfect for those who want to add more knowledge about various aspects of marketing.
автор: Savinay K S
•19 сент. 2019 г.
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.
автор: NIVEDKRISHNA T 1
•10 июня 2021 г.
Raj sir was a great teacher, humble and happy gave a very positive vibe. The vegetable inclusion for the tough math's was fun
автор: Nikhil K
•10 мар. 2020 г.
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.
автор: Loh H X R
•11 июня 2020 г.
Useful, would be interested in taking a further course about R programming in sentiment analysis and regression modelling
автор: Jeff A
•2 мая 2016 г.
Good intro course to marketing analytics! Professor is a little goofy with his squash, but it's endearing after a bit.
автор: Rohit K K
•11 июня 2020 г.
This course covers a lot of topics of marketing analytics. A very informative course and good assignments at the end.
автор: Omar M
•21 апр. 2020 г.
Gives enough knowledge to kick off in marketing analytics. Could have been more thorough. Thanks Raj for the effort.
автор: Joost Z
•27 янв. 2021 г.
Would be worth more if it showed you how to execute the regression in statistical software, like excel, R or SPSS.
автор: MURALI K H
•10 июля 2020 г.
This is basic 101 course on analytics, useful but need to take more courses and data analysis to work in industry
автор: Suraj G
•28 дек. 2020 г.
A really good insightful course with real life examples to shed a practical light on theories learnt/discussed.
автор: RAPOLU S R
•4 июля 2020 г.
IT WAS A GREAT EXPERIENCE OF LEARNING ON THIS PLATFORM AND I ATTAINED A GOOD KNOWLEDGE ON MARKETING ANALYTICS.
автор: Data S
•17 мая 2020 г.
I couldn't understand fully the math in week4 and week3 . The instructor must explain it in a more simple way.
автор: bk t
•19 мая 2020 г.
Really enjoyed the course and is a great overview of concepts of using numbers to quantify marketing efforts.
автор: Patricia s
•17 сент. 2021 г.
Great content, but some formulas could have been better explained. Also, some words were hard to understand
автор: Ashil T
•11 июня 2021 г.
5 stars if you could teach us more problems and how to solve those using the various formulas u thought us.
автор: Udit V
•12 июня 2020 г.
Raj is an awesome instructor. This course provided a lot of insights about real world marketing analytics.
автор: Aravinth T A
•9 июня 2020 г.
It is very useful . It explains the things in the manner that we can easily understand. Thats sounds good.
автор: Pulkit B
•17 мар. 2018 г.
Overall a good course. Offers a lot to learn. However some imp topics must have more detailed explanation.
автор: Rajesh A
•28 июля 2019 г.
Great course with amazing examples. Thanks it was great learning different aspects of marketing analytics
автор: 真话 陈
•23 дек. 2017 г.
never learn this, a basic understanding of marketing. a lot of real examples show the marketing, thanks.
автор: Vishal J
•5 июня 2020 г.
Great time investment for marketing Analytics with professor raj sir
Thank You sir for your valuable time
автор: Rishi B
•15 апр. 2020 г.
The course could include usage of tools and more depth into analytics - logistic and bayesian regression