Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.
Who should attend
Target group of participants and prerequisites: Young working professionals without any formal background in analytics but are interested in this subject for their career advancement are encouraged to attend. Participants with quantitative aptitude, preferably those with science, engineering or commerce backgrounds, are best positioned to appreciate the subject. Familiarity with elementary computer tools such as Excel is a must.
About the course
Prospects of analytics in modern data driven business world are on the rise, and survival without appropriate use of analytics is getting increasingly difficult in professional organizations. The principles and theories surrounding statistical and machine learning techniques and a plethora of software tools and techniques overwhelm young professionals without a formal training in the subject about where and how to start. Consequently, interest in analytics often remains restricted to wishful thinking and a hand-waiving bouquet of buzzwords. Young professionals with analytical bend of mind willing to get initiated into this fascinating world of analytics need a suitable exposure where they can explore analytics with its associated principles and hands-on implementation to develop a taste for the subject. This is immensely doable with lucid explanation of fundamental principles of analytics and hands-on experimentations with readily available softwares. Such an exposure will contribute to their analytics readiness leading to career progressions in their own or other organizations by thriving on the analytics dimension of problem solving skills.
The main objectives of this five day executive development programme are:
- To understand and appreciate the emerging needs for applying statistical and machine learning concepts in decision making
- To learn widely used statistical and machine learning methods useful in solving data driven business decision problems in organizations
- To use readily available software with appropriate data sets for implementing each of the concepts learnt
- How to explore relationships and interdependence of variables in decision making: The world of Regression
- How data can detect alignment of business decisions with ground reality and trigger need for intervention: Tests of Hypotheses and Analysis of Variance
- How statistical models help in business planning for future outcomes: Forecasting techniques
- How machines learn from historical data to help take intelligent decisions: The world of supervised learning using Artificial Neural Networks and other emerging methods
- How data driven intelligence can be reconciled with managerial expertise: The tricks of Bayesian belief revision
- How machines learn from currently observed data without any history: The world of unsupervised learning techniques
Chattopadhyay is a Professor in the Operations Management group at IIM Calcutta, and is a former Dean of the business school. In the past, he has been associated with Presidency College of the University of Calcutta, University of Connecticut and University of Nebraska–Lincoln *Academic Backg...
Dr. Uttam Kumar Sarkar serves as the Dean of New Initiatives and External Relations at IIM Calcutta. Shri Sarkar worked as a senior member at a multinational design automation company, as a faculty member at IIT Delhi, as a Visiting faculty member at the University of Miami, Coral Gables, Florida...