In the era of big data, business leaders are turning toward digital tools to learn, understand and make informed decisions. Successful businesses are moving beyond the basic spreadsheet and revolutionizing their decision making processes with data science.

This seminar will empower managers and decision-makers to adopt optimal business solutions and pay attention to the issues that matter. Practitioners will be able to use data science to tackle common problems and opportunities in marketing, finance, and logistics.

Participants will learn how to extract information and knowledge from a large body of data and utilize various predictive models and visualization tools to wrangle, analyze, and visualize data.

Key Takeaways

This virtual seminar caters for all business executives who either work with data or wish to acquire knowledge in data science to make more profitable decisions. 

Participants will be able to:

  • Predict sales for new and existing products 
  • Identify segments of the marketplace should the company pursue, given scarce resources
  • Assess qualifying sales leads
  • Implement data algorithms to make decisions under uncertainty

Learning Objectives

  • Implement effective management tactics using the data science framework
  • Predict sales volume and revenue for new and existing products
  • Effectively segment the marketplace
  • Make decisions under uncertainty

Main Topics

  • Predicting sales for existing products using time series and multiple regression analysis
  • Forecasting sales for new products with bass modelling
  • Identifying most profitable consumer segments and product preferences with lifetime value logistic regression analysis
  • Converting sales leads to business opportunities with logistics regression analysis
  • Making decisions under uncertainty with Monte Carlo simulation

What’s Included

  • 12 hours of live sessions
  • Hands-on exercises
  • Seminar material
  • Certificate of participation from The Business Development Unit, Faculty of Social Sciences, The University of the West Indies

Date and Time

All sessions are live and delivered online.

Dates: Thursdays, September 23rd, September 30th, October 07th and October 14th 

Time: 5.00 PM – 8.00 PM (AST/ EC) / 4.00 PM – 7.00 PM (EST/JA): Live Lecture via Zoom. 

Pricing Information

Seminar Fee: TT$2,800/US$400

Discount: Get a 10% group discount. Applicable to:  

  • Groups of three or more individuals attending from the same organization 
  • The UWI campus community

Online payment option available (bank charge of 3% applies). Please contact us at

The FacilitatorIMG_20200210_214027717_0.jpg

Professor Paul Dion – Professor of Data Analysis, Susquehanna University of Pennsylvania, USA and Data Science Consultant.

Paul Dion earned his PhD from the University of Toronto's Rotman School of Business in Management Studies with a statistics minor. He has published many articles in business journals

such as the Journal of Business Research, Industrial Marketing Management, Journal of Purchasing Management, and the Journal of Academy of Marketing Science in marketing,

distribution and logistics. He is a reviewer for several journals specializing in the methodology and statistical analysis area. Since 2000, his primary research area of interest has been

advanced data analytic techniques. He is currently a data science consultant for several international companies.

He has taught doctoral programs in Germany, England, Northern Ireland,Thailand (Fulbright specialist fellow 2014), South Africa, and at the University of the West Indies (St. Augustine campus), Trinidad and Tobago



Registration Details

Register here for the Seminar  and download the seminar information package.

Don't hesitate to contact Dalaiah or Vidiya at 662-2002 Ext. 83850, 83870 or

Contact Us

The Business Development Unit
Faculty of Social Sciences
The University of the West Indies 
St. Augustine Campus, Trinidad and Tobago, W.I.

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