Live Webinar

SAS® Programming and Analytics Workshops | SAS Enterprise Miner

A strategic approach for developing your organization's analytical talent.

June 06• 09:00AM – 12:00PM UAE | 10:30AM – 1:30PM IST | 01:00PM – 04:00PM SGT

About the workshops

We have come to the final virtual/online workshop which was specially designed for SAS users at Standard Chartered Bank. In this workshop on SAS Enterprise Miner, you will understand the concepts of predictive modeling, quick tour of the tool and go through an end-to-end demonstration of entire analytics lifecycle – data, discovery and deployment. As a bonus, you will get a chance to interact and meet with other SAS users, located at different countries. 

Learn how to

  • Define the business problem
  • Create a SAS Enterprise Miner project and explore data graphically
  • Modify data for better analysis results
  • Build and understand predictive models such as decision trees and regression models
  • Compare and explain complex models
  • Generate and use score code and implement the model

Register your interest

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About The Experts

Sharad Saxena, Ph.D.,
Principal Analytical Training Consultant,
SAS R&D India

Dr. Saxena is a SAS Certified Predictive Modeler and has been teaching and consulting in the area of advanced analytics across the globe that specifically includes UK, USA, Singapore, Italy, Australia, Netherlands, Middle-East, China, Philippines, Nigeria, Hong Kong, Malaysia, Indonesia, Mexico and India for a variety of SAS customers counting banking, insurance, retail, government departments etc. Overall, he has more than two decades of rich experience in research, teaching, training, consulting, writing and education product designing.
Dr. Saxena has more than 35 publications including research papers in journals of international repute such as Journal of Statistical Planning and Inference, Communications in Statistics–Theory and Methods, Statistica, Statistical Papers, Vikalpa etc. and is a co-author of the book titled Randomness and Optimal Estimation in Data Sampling published by American Research Press, Rehoboth, USA. Tree-Based Machine Learning Methods in SAS® Viya® is his upcoming title.
Apart from various talks delivered at national and international conferences, he has written some case studies, technical notes, white papers, book reviews and popular columns in newspapers. He is an active member of many professional and academic bodies.