Our course on Retail analytics with SAS and Excel was launched about 12 months ago and has turned out to be a big hit.

Here is what some of our students are saying -

"This is the 3rd course I did with Jigsaw Academy and they have not let me down. There quality is consistent, the faculty is always knowledgeable and seem like they enjoy teaching. Anshuman's course is filled with real life anecdotes and business examples which is what makes it so interesting."

Nakul Dogra, Research Manager at IMRB International

"The course is very well structured. Anshuman uses a lot of industry examples which make it easier to follow the course. By far the most interesting course I have ever done!"

Pankaj Narotra, SALES COACH at HSBC

About the course

This 30 hour course is designed and taught by industry experts with extensive experience directly in retail and in application of analytics within the domain. The emphasis in this course is on developing a comprehensive and intuitive understanding of retail as a business and how and where the application of analytics helps retailers address the challenges of a bigger and more complicated market.

By the end of this course,

• You will acquire a thorough and intuitive knowledge of the retail domain
• You will get hands-on experience in application of retail analytics through a series of case studies on category management, customer profitability analysis, marketing mix modeling and store clustering using the SAS language.

Here is a small clip from one of the modules - "Introduction to Retail"

[youtube]http://youtu.be/dCTCMbbld9A[/youtube]

About the Author:

Gaurav has over 10 years of experience in the field of analytics and has worked across multiple verticals including financial services, retail, FMCG, telecom, pharmaceuticals and leisure industries. Gaurav started his career in analytics with Capital One and over the last decade has worked with clients such as JC Penney, Gap, Wal-mart, IRI, 7-11, IMS health and ICICI Lombard. Gaurav’s articles cover a broad range of topics that are of interest to anyone in the field of analytics.