Web Analytics Achieve competitive advantage through intelligent analysis of Click Stream and other web data
4 Weeks programme
Contact hours: 32 hours
Case studies/ Use cases
The “Web Analytics” programme is a niche programme designed to up-skill professionals, especially marketing professionals, who aspire to make a foray in the rapidly growing field of Digital Marketing. The programme has been designed to provide participants, and their businesses, the requisite proficiency to effectively exploit opportunities for business enhancement. The programme facilitates competency development in analysis of Click Stream data and other forms of web data, thereby providing a competitive advantage derived from intelligent, efficient and effective web data analysis.
Who should go for the Programme?
The “Web Analytics” programme has been designed & developed primarily for professionals aspiring to enter the emerging & growing area of Digital Marketing. Specific to marketing professionals, the programme would open up to them the specialized world of web data analysis, providing them with a competitive advantage.
Develop awareness of the various features of Web Analytics and related analytics tools & techniques
Understand & appreciate the various KPIs & terminologies prevalent in Web Analytics
Gather competency in analysis of Click Stream and other web data
Generate important & valuable insights into the behaviour of markets and website traffic
Achieve proficiency in effectively deploying Web Analytics to provide innovative solutions to business problems
Ph.D. (Statistics), Michigan State University, USA
B. Stats & M. Stats, Indian Statistical Institute, Calcutta
Ex-Chief Scientist & Founder, PlanetRisk Inc, USA; 20 yrs of industry exp. with Morgan Stanley, Barclays Capital, etc.
B. E. (Mech. Engg), NIIT PG Certification on Business Analytics, Machine Learning Cert from Stanford Univ.
LOMA ALMI Certified Professional
15+ years of experience in consulting on Financial Analytics, Credit Risk Analytics, Operations Research, Business Analytics,