CTOs, heads of data, data scientists, ML engineers and quantitative analysts.
Time Series Forecasting with Python
- 2 days
- HRDC claimable
- Intermediate
In short
What is the Time Series Forecasting with Python program?
A two-day technical program on forecasting temporal data across statistical, ML and deep learning methods. Spans ARIMA and ETS, XGBoost and LSTMs and Transformers, on your own datasets.
Your team leaves able to forecast temporal data across statistical, ML and deep-learning methods, from ARIMA to LSTMs and Transformers, on your own historical data.
89% of Malaysian employers prioritise hiring AI-skilled talent and 81% cannot find it (AWS and Access Partnership, 2024). Forecasting is among the highest-value skills that shortage leaves unfilled. Source: AWS and Access Partnership, 2024
Forecasting earns its keep in planning. We have built demand-forecasting systems for Malaysian operations, including SKU-level models that cut both overstock and stockouts. See a case study.
What your team will be able to do
- Handle stationarity, seasonality and autocorrelation in temporal data.
- Design hybrid pipelines combining statistical and ML forecasting.
- Use GenAI for automated temporal feature engineering.
- Deploy LSTMs and Temporal Fusion Transformers for multivariate forecasting.
- Set MLOps and governance aligned to national AI standards.
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Who runs it
This program is run by industry practitioners who have shipped AI inside regulated enterprises across banking, government, manufacturing, and telco. It is led by Peter Kua, our AI and data science lead, a core contributor to Malaysia’s National Big Data Analytics Framework under MDEC and co-author of Malaysia’s AI Adoption Blueprints in 2019 and 2020. You are learning from people who have built this in production, not read about it. Peter’s commentary on AI adoption and workforce capability has appeared in The Star, theSun, Singapore Business Review, e27, and DagangNews, and on RTM Berita’s Tech Today.
Built on real forecasting problems like retail seasonality and energy demand, using your own historical data.
Common questions
Is this program HRDC claimable?
Yes. It is claimable through HRD Corp under SBL and SBL-Khas. GrowthPro Asia is an HRDC-registered provider, and we handle the claim paperwork so it stays audit-ready. For most registered employers the levy covers most or all of the cost.
Is this hands-on or theory?
Hands-on. These are build-along programs: your team works in real tools on real datasets and leaves with working code and a project it can reuse, not a slide deck. We introduce concepts only to support what you build.
What do we need to know before we start?
It depends on the level. Beginner programs start from fundamentals and assume no prior coding. Intermediate and advanced ones assume working Python or data experience. Each program states its level, and we help you place your team correctly.
Is it delivered in-house or as a scheduled cohort?
Both. Most teams run it in-house over two days on their own stack and data, which is where the skills stick. A scheduled cohort is available when you want a smaller group to learn alongside peers from other organisations.
How is the cost set?
We do not publish a fixed price. Cost depends on in-house versus scheduled delivery, group size, and how far we customise to your stack and data. It is HRD Corp claimable, so for most registered employers the levy covers most or all of it. Tell us your group size and format for an indicative quote.
What forecasting methods does it cover?
The full range: statistical methods like ARIMA and ETS, machine learning with XGBoost, and deep learning with LSTMs and Temporal Fusion Transformers. Your team learns to handle stationarity, seasonality, and autocorrelation, and to choose the right method per problem.
What data do we work on?
Your own historical data where possible, or realistic problems like retail seasonality and energy demand. The program is hands-on in Python, and includes the MLOps and governance to keep a deployed forecast accurate as conditions change.
What it costs
We do not publish a fixed price, because the program is built around your team and stack. Three things set the cost: whether you run it in-house on your own tools and data or join a scheduled cohort, the size of the group, and how far we customise to your environment. It is HRD Corp claimable under SBL and SBL-Khas, so for most registered employers the levy covers most or all of it. Tell us your group size and format, and we will send an indicative quote and exactly what is included.
Book the Free AI Strategic BriefingRelated
- AI Capstone, the pilot a roadmap leads into.
- HRDC-claimable AI training, how the claim works.
- AI consulting, strategy, governance and pilots.
- Advanced GenAI Systems: RAG, Fine-Tuning and Internal Copilots, a related program in AI Engineering & Systems Intelligence.
- Agentic AI for Workflow Autonomy, a related program in AI Engineering & Systems Intelligence.
Turn AI strategy into a working pilot, and prove the ROI.
Start with the free 3-hour AI Strategic Briefing. See agentic AI run real workflows, and leave with an automation roadmap, a prompt library, and a pilot playbook.