Research and Data Analysis

Prescriptive Analytics: Optimization and Decision-Making Training Course

Introduction

In the age of big data and AI-driven innovation, organizations must move beyond descriptive and predictive analytics to fully harness Prescriptive Analytics—the apex of data-driven decision-making. Prescriptive Analytics: Optimization and Decision-Making Training Course empowers professionals with the optimization tools, algorithmic frameworks, and data science techniques to prescribe the best actions for business success. Through real-world case studies and interactive modeling, participants will learn to transform analytics into impactful, actionable strategies.

Designed for decision-makers, analysts, and data professionals, this course delivers industry-proven techniques in operations research, linear programming, simulation modeling, and machine learning integration. The focus is on practical, hands-on learning that bridges theory and application to solve complex problems in supply chain management, financial planning, healthcare optimization, and more.

Programme Curriculum

Prescriptive Analytics: Optimization and Decision-Making Training Course

Introduction

Course Objectives

By the end of this course, participants will be able to:

Understand the fundamentals of Prescriptive Analytics and its role in data-driven decision-making.
Apply optimization techniques including linear and nonlinear programming for complex business scenarios.
Leverage machine learning algorithms in prescriptive models.
Use simulation modeling to evaluate decision outcomes under uncertainty.
Solve problems using decision trees, genetic algorithms, and heuristics.
Deploy real-time decision engines using prescriptive analytics.
Analyze supply chain optimization using data models.
Use prescriptive models for financial risk management and investment strategies.
Build healthcare optimization frameworks for resource allocation.
Integrate predictive and prescriptive analytics in enterprise settings.
Evaluate ethical concerns and data governance in automated decision systems.
Present data-driven recommendations using effective visual storytelling tools.
Use optimization software tools like Gurobi, CPLEX, and Excel Solver.

Target Audiences

Data Scientists & Analysts
Operations Managers
Business Intelligence Professionals
Financial Planners
Supply Chain Professionals
Healthcare Administrators
IT Managers and Engineers
Graduate Students in Analytics & AI

Course Duration: 5 days

Course Modules

Module 1: Introduction to Prescriptive Analytics

Understanding the analytics lifecycle
Distinction between descriptive, predictive, and prescriptive analytics
Key tools and technologies overview
Role in modern enterprises
Industry applications
Case Study: Improving delivery routes using prescriptive analytics in e-commerce

Module 2: Optimization Fundamentals

Linear programming basics
Objective functions and constraints
Solving LP problems using Excel Solver
Sensitivity analysis
Shadow pricing concepts
Case Study: Optimizing marketing spend for an advertising agency

Module 3: Advanced Optimization Techniques

Integer programming
Nonlinear optimization
Goal programming
Solver platforms (CPLEX, Gurobi)
Constraint modeling
Case Study: Resource allocation for a manufacturing plant

Module 4: Decision Trees and Heuristics

Decision tree construction
Utility theory and payoff tables
Greedy algorithms and branch & bound
Genetic algorithms
Use of heuristics in complex systems
Case Study: Product launch decision modeling in retail

Module 5: Simulation and Uncertainty

Monte Carlo simulation
Risk assessment with stochastic models
What-if scenario planning
Simulation tools (Arena, Simio)
Linking simulations to optimization
Case Study: Hospital bed allocation under uncertainty

Module 6: Machine Learning in Prescriptive Analytics

Supervised learning integration
Predictive to prescriptive transition
Reinforcement learning
Decision automation pipelines
Real-time ML decision engines
Case Study: Dynamic pricing strategy using ML for airlines

Module 7: Applications in Industry

Prescriptive analytics in supply chain
Logistics and transportation
Retail demand planning
Energy management
Healthcare service delivery
Case Study: Warehouse layout optimization using analytics

Module 8: Ethical Decision-Making and Data Governance

Bias and fairness in algorithmic decisions
Transparency in prescriptive models
Data ownership and security
Regulatory compliance (e.g., GDPR, HIPAA)
Building trust in AI systems
Case Study: Ethical review of an automated loan approval model

Training Methodology

Instructor-led live sessions with real-time demonstrations
Hands-on labs using industry tools (CPLEX, Gurobi, Excel Solver)
Group activities, simulations, and decision games
Interactive case-based learning and model building
Quizzes and project-based assessments
Final capstone project for industry-specific optimization

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Prescriptive analytics optimization decision-making

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000