Faculty of Social Sciences

Sagicor Cave Hill School of Business and Management

Short Courses

Applied Data Analysis for Public Policy

Registration is Open

Applied Data Analysis for Public Policy builds the analytical muscle public leaders need to deliver measurable results. As more of public life becomes datafied through text, images, and transactions, policy teams can see systems in higher resolution. Yet analysis often stalls before it becomes action. This programme closes that gap by turning complex data into clear choices that improve lives.

You will develop practical fluency in statistics, research design, and R programming, then apply it to real policy questions. Working with domestic and international cases, you will clean and combine diverse datasets, surface patterns that matter, and test what works with methods you can defend. You will learn to quantify uncertainty, design credible evaluations, and communicate findings through visual stories that move decisions.

The experience is hands on and outcome focused. Labs in R and reproducible workflows help you build dashboards leaders actually use, set up monitoring to track results in near real time, and create audit-ready analysis that strengthens transparency and accountability. By the end, you will brief stakeholders with confidence, align teams around evidence, and adjust course quickly as conditions change.

Leave with decision-ready analysis, a practical playbook for implementation, and the confidence to carry evidence across the finish line. Turn insight into action, raise service quality, and build public trust.

Programme Objectives

On successful completion of the programme, you will be able to: 

 

  • Explain the value of public policy grounded data-driven insights. 
  • Assess the importance of the relationship between data analysis and effective policymaking. 
  • Explain how data analysis can be used to inform policy planning and policymaking. 
  • Identify opportunities for leveraging data for effective policymaking. 
  • Apply statistical and data analytic tools to analyse publicly available data. 
  • Interpret different types of data visualisations using publicly available data. 
  • Use statistical programming language to enhance public policy decision making. 
  • Develop actionable insights from diverse data sets in the public policy field. 
  • Translate insights into actionable public policy recommendations. 

At a Glance

Course Duration:

May 4 - 8, 2026

Times:

Certificate Awarded:

Professional Development Certificate of Competence

Cost:

US $2,035

Registration Deadline:

Modality:

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Direct Contacts

Additional Information

Programme Curriculum 

  • Public Policy and Programme Evaluation 
  • Micro and Macro Economics for Public Policy 
  • The Fundamentals of Data Analysis 
  • Types of Data and Data Sources 
  • The Role of Data Analysis in the Policy Lifecycle 
  • Data Collection Methods and Sampling Procedures for Policy Analysis 
  • Data Cleaning and Manipulation Using Excel 
  • Descriptive Statistics for Policy Making 
  • Predictive Statistics for Policy Making 
  • Policy and Decision Analysis 
  • Introduction to R Statistical Programming 
  • Statistical Analysis Using R 
  • Data Visualisation, Presentation, and Storytelling 

Who is this programme for? 

  • Policymakers, Government Officials, NGOs and Non-profit Organisations who require training in the use of data analysis in the development of public policy. 
  • Professionals from diverse backgrounds who are committed to acquiring expertise in the field of data analysis for policymaking. 
  • Professionals seeking to develop advanced skills in managing and large extensive amounts of data to address public policy issues. 

All notification of cancellations, deferrals, and substitutions must be received in writing. Please submit your request via e-mail to schsbmopen@cavehill.uwi.edu

CANCELLATIONS

  • The Sagicor Cave Hill School of Business and Management (SCHSBM) reserves the right to make changes to any printed or online information on short courses, instructors, or course information; or cancel any short course due to under-subscription or circumstances beyond its control.
  • Delegates will be notified at least seven (7) days before the start of any course that must be cancelled.
  • Fees for short courses cancelled by the SCHSBM will be refunded in full.
  • The SCHSBM will not be liable for any loss, damages or other expenses that result from course cancellations.

REFUNDS

Due to the costs incurred for program preparation and administration any cancellations received 30 days or less from the program start date are subject to fees as described below. For programs with a virtual component, the start date will be considered the first day of live learning.

Written notice of cancellation received by SCHSBM Refund
30 days or more before the start of the specific course 100% of course fees.
29 to 15 days before the start of the specific course 50% of course fees.
14 days or less before the start of the specific course No refund

Sagicor Cave Hill School of Business and Management
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