Centre for Professional Development and Lifelong Learning

Business and Data Analytics

With skills in business and data analytics being increasingly in-demand in the job market, whether you work in administration, accounting, marketing, or any job that requires you to organize and present any type of data, CPDLL has a suite of courses just for you. Developed and delivered by industry experts, the business and data analytics short courses offered by CPDLL enables you to be able to understand how to analyse data for businesses, assess business situations, support decision making and identify opportunities for creating value.

Business and Data Analytics

Business Analytics

Business Analytics

Overview

The ability to use data effectively to drive rapid, precise and profitable decisions has been a critical strategic advantage of companies such as Apple, Google and Walmart. Business and data analytics are therefore integral to modern management and graduates with business analytics skills are in increasing demand.  This course introduces you to the field of business analytics. Using real-world case studies, this course will enable you to develop skills in analyzing business situations.  You will also learn how to identify and evaluate opportunities in which business analytics can be used to support the decision-making process and improve performance. The triad of descriptive analytics, predictive analytics and prescriptive analytics will be covered.

Mode of Delivery: Face-to-Face Online

What will I Learn?

On successful completion of the course, delegates will be able to:
  • Define and interpret the core concepts and terminologies of business analytics;
  • Identify the tools and technologies required for business analytics.
  • Outline the history of business analytics;
  • Critically discuss the value of business analytics to the corporate world;
  • Explain how business analytics has been successfully used in various industries;
  • Explain the role that business analytics plays in the decision-making process;
  • Effectively use business analytics to support decision making;
  • Distinguish among the three categories of business analytics techniques (descriptive, predictive and prescriptive analytics) and determine the best technique to use in a given situation;
  • Assess business situations and identify opportunities forcreating value using business analytics;
  • Appraise business problems and determine most suitable analytical methods.

Who Should do this Course

Aspiring and current professionals in Marketing, Business Management, Finance and Data Science.

Important Information

This course has been offered at a special rate, CLICK HERE to view Terms and ConditionsFor our International/ Regional delegates who have successfully completed the requirements of obtaining their Certification, The Centre for Professional Development and Lifelong Learning would be more than happy to deliver your Certificate via a courier service for which you would be required to bear the cost. This sum must be paid to The UWI, Cave Hill Campus prior to dispatch of the certificate. 

For more details, email cpdll@cavehill.uwi.edu and a representative will guide you accordingly.”

At a Glance

  • Admissions Term: 2025/2026 Year Long CPDLL
  • Registration: Open
  • Date: March 31 - April 23, 2026
  • Time: Tuesdays and Thursdays (5:00-8:00 PM)
  • Duration: (24 hours)
  • Certificate Awarded: Professional Development Certificate of Competence
  • Course Code: PDLL 115
  • CEUs: 2.4
  • Capacity: 40
  • Cost: BBD $2,580 (USD$1,290) BBD$800.00 (USD$400.00)

The following topics will be addressed:

  • Visualizing and Exploring Data
  • Statistical Inference
  • Trendlines and Regression Analysis
  • Forecasting Techniques
  • Introduction to Data Mining

No prior knowledge is required or assumed in this course.

This course consists of two two-hour lectures and two one-hour tutorials per week.

Terry Harris, PhD

Dr. Terry Harris is currently an Assistant Professor at Durham University Business School and has a BSc in Computer Science and Accounting and a Master’s degree in Computer Science from the University of the West Indies. Over his academic career, Dr. Harris has taught extensively in the fields of Accounting, Finance and Computer Science.

Related Courses

Applied Machine Learning and Data Mining using Matlab and Python
Data Analytics using Microsoft Excel (Advanced)
Data Science for Business using R