Global Learning for Operational Leaders
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Predictive analytics helps organisations anticipate demand, risk and customer behaviour. Accurate forecasts support better planning and resource allocation.
This Aractech course covers forecasting methods, time series analysis, regression models, classification basics, model evaluation, forecast accuracy and deploying predictive models in business processes, using practical tools and datasets.
What you will achieve
Learning objectives
- Explain predictive analytics concepts
- Apply time series forecasting methods
- Build regression-based predictive models
- Understand classification models
- Evaluate model accuracy
- Use predictions in business decisions
Who should attend
Target audience
- Business and data analysts
- Demand planners
- Finance and FP&A analysts
- Marketing analysts
- Operations planners
- Managers using forecasts
Methodology
Learning approach
- Hands-on labs
- Case studies
- Model evaluation exercises
- Group work
- Presentations
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Predictive Analytics Foundations
- Predictive versus descriptive
- Use cases
- Data preparation
- Coffee break
- Data preparation (continued)
- Model life cycle
- Exercise: Use-case selection
Day 2
Time Series Forecasting
- Trend and seasonality
- Moving averages
- Exponential smoothing
- Coffee break
- Exponential smoothing (continued)
- ARIMA overview
- Lab: Demand forecast
Day 3
Regression Models
- Linear regression
- Multiple regression
- Feature selection
- Coffee break
- Feature selection (continued)
- Interpretation
- Lab: Regression model
Day 4
Classification and Evaluation
- Classification basics
- Decision trees
- Accuracy metrics
- Coffee break
- Accuracy metrics (continued)
- Overfitting
- Lab: Churn prediction
Day 5
Deployment
- Forecast accuracy tracking
- Business integration
- Communication
- Coffee break
- Communication (continued)
- Governance
- Capstone: Predictive model project
FAQ
Frequently asked questions
What does Predictive Analytics and Forecasting (DMBI-027) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 2 - 6 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Business and data analysts, Demand planners, Finance and FP&A analysts
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Frankfurt, Dubai, Istanbul, Vienna, Paris, Geneva, Cape Town.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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Choose an available date and venue, add your participants, and we will email a formal quotation for Predictive Analytics and Forecasting to your business address.