What You'll Learn
Master time series forecasting for economic and policy planning. Learn ARIMA, VAR, and ML tools to build accurate models that inform evidence-based decisions.
Course Benefits
Industry Certification
Internationally recognized qualification
Expert Instructors
Learn from industry professionals
Dedicated Support
Assistance during and after training
Practical Skills
Apply knowledge immediately
Course Overview
This course offers a hands-on and analytical approach to time series forecasting tailored for economic modeling and policy formulation. It empowers professionals with the skills to interpret historical data, identify trends and cycles, and generate accurate forecasts for evidence-based policymaking. Participants will learn to use statistical and machine learning tools to support macroeconomic planning, budgeting, and socio-economic forecasting.
Duration
5 Days
Who Should Attend
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Economists and Policy Analysts
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Government Planners and Statisticians
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Central Bank and Treasury Officials
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Data Scientists and Research Officers
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Development Agency Economists
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Academics and Graduate Students in Economics
Course Level: Intermediate to Advanced
Course Impact
Organizational Impact
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Improve forecasts for better planning and resource allocation.
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Enable evidence-based policy decisions.
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Increase transparency and stakeholder trust.
Personal Impact
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Gain specialized skills in economics and policy.
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Advance into senior analytical or leadership roles.
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Lead data-driven planning with confidence.
Course Objectives
By the end of this course, participants will be able to:
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Understand and model time series data in an economic context
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Apply statistical and computational tools for forecasting
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Use time series outputs to inform policy and fiscal planning
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Evaluate forecasting accuracy and improve model performance
Course Outline
Module 1: Fundamentals of Time Series Analysis
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Structure and components of time series (trend, seasonality, noise)
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Stationarity and data transformation techniques
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Visualizing and summarizing economic time series data
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Introduction to software tools: Excel, R, or Python
Module 2: Classical Forecasting Techniques
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Autoregressive (AR), Moving Average (MA), and ARMA models
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Autoregressive Integrated Moving Average (ARIMA) modeling
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Seasonal ARIMA (SARIMA) for cyclical economic data
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Model identification, estimation, and diagnostics
Module 3: Forecasting for Economic and Policy Indicators
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Time series models for GDP, inflation, and unemployment
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Forecasting fiscal revenues and expenditures
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Scenario-based policy simulations using forecasts
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Case study: Forecasting economic growth under uncertainty
Module 4: Advanced and Machine Learning Methods
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Vector Autoregression (VAR) and multivariate time series
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Time series regression and exogenous variable modeling
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Introduction to machine learning models (e.g., LSTM, random forest)
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Comparing model performance using validation techniques
Module 5: Communicating Forecasts for Policy Impact
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Presenting forecasts for policy and budget decisions
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Risk communication and uncertainty quantification
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Creating forecasting dashboards and visuals
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Real-life project: Forecasting and policy brief presentation
Prerequisites
Course Administration Details
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.
For further inquiries, please contact us on details below:
Email: outreach@idealworkplacesolutions.org
Mobile: +254759708394
Register for the Course
Select a date and location that works for you.
In-Person Training Schedules
January 2026
| Date | Days | Venue | Fee (VAT Incl.) | Register |
|---|---|---|---|---|
| 5 Jan - 9 Jan 2026 | 5 days | Nairobi, Kenya | KES 99,000 | USD 1,400 | Enroll Now |
| 5 Jan - 9 Jan 2026 | 5 days | Cape Town, South Africa | USD 3,500 | Enroll Now |
| 5 Jan - 9 Jan 2026 | 5 days | Dubai, United Arabs Emirates | USD 4,000 | Enroll Now |
| 5 Jan - 9 Jan 2026 | 5 days | Zanzibar, Tanzania | USD 2,200 | Enroll Now |
| 12 Jan - 16 Jan 2026 | 5 days | Mombasa, Kenya | KES 115,000 | USD 1,500 | Enroll Now |
| 12 Jan - 16 Jan 2026 | 5 days | Kigali, Rwanda | USD 1,800 | Enroll Now |
| 12 Jan - 16 Jan 2026 | 5 days | Accra, Ghana | USD 5,950 | Enroll Now |
| 12 Jan - 16 Jan 2026 | 5 days | Kampala, Uganda | USD 2,200 | Enroll Now |
| 19 Jan - 23 Jan 2026 | 5 days | Dar es Salaam, Tanzania | USD 2,000 | Enroll Now |
| 19 Jan - 23 Jan 2026 | 5 days | Johannesburg, South Africa | USD 3,100 | Enroll Now |
| 19 Jan - 23 Jan 2026 | 5 days | Nakuru, Kenya | KES 105,000 | USD 1,400 | Enroll Now |
| 19 Jan - 23 Jan 2026 | 5 days | Dakar, Senegal | USD 3,500 | Enroll Now |
| 26 Jan - 30 Jan 2026 | 5 days | Pretoria, South Africa | USD 3,100 | Enroll Now |
| 26 Jan - 30 Jan 2026 | 5 days | Kisumu, Kenya | KES 105,000 | USD 1,500 | Enroll Now |
| 26 Jan - 30 Jan 2026 | 5 days | Naivasha, Kenya | KES 105,000 | USD 1,400 | Enroll Now |
| 26 Jan - 30 Jan 2026 | 5 days | Arusha, Tanzania | USD 2,000 | Enroll Now |
USD 1,400
Request Custom Training
We offer customized training solutions tailored to your organization's specific needs:
- Training at your preferred location
- Customized content to address your specific challenges
- Flexible scheduling to accommodate your team
- Cost-effective solution for training multiple employees
Early-bird Offer
Special pricing ends in:
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