AI and Data in Business
Predictive Analytics for Business Professionals
This practical course develops directly applicable capability in Predictive Analytics for Business Professionals. Participants work in depth on Predictive Analytics Use Cases, and Framing the Prediction Problem, and Data and Model Development, then convert the methods into tools and actions suited to their workplace.
Objectives
- Apply the principles and methods of predictive analytics use cases in a workplace context.
- Apply the principles and methods of framing the prediction problem in a workplace context.
- Apply the principles and methods of data and model development in a workplace context.
- Apply the principles and methods of evaluating model performance in a workplace context.
- Apply the principles and methods of deployment and human decisions in a workplace context.
- Apply the principles and methods of predictive use-case business case in a workplace context.
Target audience
- Professionals responsible for the subject area
- Managers and supervisors
- Analysts, coordinators, and specialists
- Project and improvement teams
- Employees preparing for broader responsibilities
Program outline
A clear structure for the learning journey.
Outline points are grouped in one designed block instead of being treated as separate module cards.
01Predictive Analytics Use Cases3 topics
- Classification, regression, forecasting, and scoring
- Customer, finance, operations, and risk applications
- When prediction is not the right approach
02Framing the Prediction Problem3 topics
- Target outcome, prediction point, and action
- Features available at decision time
- Cost of false positives and false negatives
03Data and Model Development3 topics
- Training, validation, and test data
- Feature quality, leakage, and representativeness
- Baseline models and performance comparison
04Evaluating Model Performance3 topics
- Accuracy, precision, recall, lift, and error
- Threshold choices tied to business capacity
- Stability across segments and time
05Deployment and Human Decisions3 topics
- Embedding scores into real workflows
- Human review, overrides, and escalation
- Monitoring drift, outcomes, and unintended behavior
06Predictive Use-Case Business Case3 topics
- Estimating value, feasibility, and implementation cost
- Documenting risks, controls, and ownership
- Presenting a responsible pilot proposal
Materials provided
- ○ Course-specific presentation slides
- ○ Practical exercises and facilitated activities
- ○ Course-specific worksheets, checklists, and templates
- ○ Applied workplace case studies
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D adapts this program to the participant group and workplace context. Delivery combines structured explanation with course-specific exercises, realistic cases, working tools, and an action-planning component so participants can transfer the learning to their roles.
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