5-DAY PRACTICAL TRAINING PROGRAMME

Python for Predictive TechnologiesForecasting & Automation

From Python foundations to forecasting, automation and deployment.

A hands-on, instructor-led programme that equips you to use Python for predictive modelling, machine learning, analytics, forecasting and automation — progressing from data preparation and predictive models to time series forecasting, automated reporting and deployment workflows.

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Python foundations included in Module 1. Practical, project-style learning.
5 Days
35 HOURS TRAINING
10
CORE MODULES
ActualForecastConfidenceHISTORYPREDICTION
ARIMA
+ PROPHET FORECASTING
Python
AUTOMATION READY
Early Bird price ends in
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Save RM 100 per pax
5 Days
35 HOURS
9.00am – 5.00pm daily
10
CORE MODULES
From Python basics to deployment
Practical
HANDS-ON EXERCISES
Learn by building real workflows
Instructor-Led
DELIVERY MODE
Instructor-led / remote online
Data→Preparation→Predictive Models→Forecasting→Automation→Deployment
WHY THIS PROGRAMME

Turn raw data into predictions, forecasts and automated reports.

This programme combines Python programming, predictive modelling, machine learning, forecasting and automation through practical exercises. Participants progressively move from Python foundations and data preparation to predictive models, forecasting, automation, advanced applications and deployment workflows.

Predictive Modelling & Machine Learning
Regression, classification, model evaluation, cross-validation, hyperparameter tuning and feature importance.
Time Series Forecasting
Trends, seasonality and noise, moving average, exponential smoothing, ARIMA, statsmodels and Prophet.
Automation & Deployment
Schedule scripts, automate reports, save models with joblib/pickle and create simple APIs for predictive services.
Time series = Trend + Seasonality + NoiseTRENDSEASONALITYNOISE
Python for Predictive Technologies in progress
Predict. Forecast. Automate.
WHO SHOULD ATTEND

Built for professionals who work with data and forecasts.

If you want to predict outcomes, forecast demand and automate repetitive analytics with Python, this programme is for you.

Data & Business AnalystsAspiring Data ScientistsForecasting & Planning TeamsSupply Chain & Inventory ProfessionalsEngineers & Maintenance TeamsFinance & Operations AnalystsIT & Software ProfessionalsBI & Reporting SpecialistsManagers & Team Leads
PROGRAMME CURRICULUM

10 Modules — From Python Foundations to Deployment

Tap any module to see what's covered.

P1
Python, Data & Predictive Modelling
Modules 1 – 5
1Python Foundations for Predictive Modeling
Data types, variables, loops, conditionals, functions and modules; code structuring for predictive workflows; essential libraries — NumPy, pandas, scikit-learn, matplotlib and seaborn.
2Data Handling and Preparation
Importing data from CSV, Excel, databases and APIs; cleaning, transforming and normalising data; handling missing values and outliers; categorical encoding.
3Feature Engineering & Exploratory Data Analysis
Feature engineering for predictive tasks, descriptive statistics, data visualisation, identifying patterns, trends and correlations, and using plots to detect seasonality and anomalies.
4Predictive Modeling
Machine learning concepts, supervised and unsupervised learning, regression models for numeric outcomes, classification models for categorical outcomes, and evaluation using accuracy, precision, recall, F1-score, RMSE and MAE.
5Model Selection and Optimization
Cross-validation techniques, hyperparameter tuning with GridSearchCV and RandomizedSearchCV, model interpretation and feature importance.
P2
Forecasting, Automation & Deployment
Modules 6 – 10
6Python Workflow for Predictive Technologies
Building reusable scripts, workflows and pipelines; using Jupyter notebooks for experimentation; introduction to Python automation frameworks for predictive workflows.
7Time Series Forecasting
Introduction to time series data — trends, seasonality and noise; moving average, exponential smoothing and ARIMA; forecasting future values using Python with statsmodels and Prophet.
8Automation of Forecasting Tasks
Scheduling scripts for automatic execution; automating data ingestion, cleaning and forecasting; sending automated reports and visualisations via email or dashboards.
9Advanced Predictive Applications
Scenario simulation and what-if analysis; predictive maintenance for equipment or processes; inventory and supply chain forecasting; integration with Excel, ERP systems and Power BI.
10Deployment and Practical Workflow
Saving and loading models with joblib and pickle; creating simple APIs for predictive services; dashboards and visualisation for non-technical stakeholders.
HANDS-ON PRACTICAL EXERCISES

Practice every stage of the predictive workflow.

PRACTICE 01
Python Foundations
Structure code with functions and modules for predictive tasks.
PRACTICE 02
Data Preparation
Import, clean, normalise and encode data from multiple sources.
PRACTICE 03
EDA & Feature Engineering
Spot trends, correlations, seasonality and anomalies with plots.
PRACTICE 04
Predictive Models
Build and evaluate regression and classification models.
PRACTICE 05
Tuning & Interpretation
Cross-validation, GridSearchCV and feature importance.
PRACTICE 06
Reusable Pipelines
Turn experiments in Jupyter into reusable scripts and pipelines.
PRACTICE 07
Time Series Forecasting
Forecast with moving average, smoothing, ARIMA and Prophet.
PRACTICE 08
Automated Reporting
Schedule scripts and send forecasts and visuals automatically.
PRACTICE 09
What-If & Applications
Scenario simulation, inventory and supply chain forecasting.
PRACTICE 10
Deploy & Present
Save models, create a simple API and build a stakeholder dashboard.
MEET YOUR TRAINER

Thayanithy Jegan

Chief Technology Officer · AI & Digital Transformation Consultant · HRD Corp Certified Trainer with over 28 years of experience in software engineering, enterprise technology, and AI adoption. Certified Machine Learning Expert (CMLE) bringing hands-on, real-world business focus to every session.

CMLE Certified
HRD Corp Certified Trainer
CTO, Thulija Technologies
Thayanithy Jegan, Chief Technology Officer and HRD Corp Certified Trainer at Thulija Technologies
Thayanithy JeganCTO, Thulija Technologies
COURSE FEE

Invest in skills that pay off from day one

Choose the registration option that suits you or your team.

Regular Price
Standard registration
RM 5,600 /pax
Early Bird
Early Bird Price
Register before the countdown ends & save
RM 5,500 /pax
Group Pricing
3 pax or more
RM 5,450 /pax
Programme includes
  • 5 Days Instructor-Led Training
  • Hands-On Python Exercises
  • Training Materials
  • Code Templates
  • 3 Months Coaching
  • 1 Year eLearning Access

Contact us for individual, corporate and group pricing.

HOW IT WORKS

From enrolment to a certificate — made simple.

01

Enrol

Submit the form or WhatsApp us your details.

02

Confirm details

We confirm your dates, delivery mode and any customisation.

03

Attend the 5-day programme

10 modules of instructor-led training with practical exercises.

04

Deploy & get certified

Finish the deployment workflow & receive your certificate.

DELIVERY & METHODOLOGY

Practical, hands-on, and immediately applicable.

Instructor-led / remote online training
Interactive lectures & PowerPoint presentations
Group discussion & practical exercises
9.00am – 5.00pm · 5 days / 35 hours
QUESTIONS

Everything you need to know before enrolling.

Do I need prior Python experience?+

The programme begins with Python foundations in Module 1 — data types, variables, loops, conditionals, functions and modules — before moving into data preparation and predictive workflows.

Which Python libraries and tools will I use?+

NumPy, pandas, scikit-learn, matplotlib and seaborn for predictive workflows, statsmodels and Prophet for time series forecasting, joblib and pickle for saving models, and Jupyter notebooks for experimentation.

What forecasting techniques are covered?+

You will work with time series trends, seasonality and noise, then forecast future values using moving average, exponential smoothing and ARIMA, with statsmodels and Prophet.

Will I learn to automate reports and forecasts?+

Yes. Module 8 covers scheduling scripts, automating data ingestion, cleaning and forecasting, and sending automated reports and visualisations via email or dashboards.

What is the daily training schedule?+

Training runs 9.00am – 5.00pm for 5 days (35 hours), with breaks at 10.15am – 10.30am and 3.15pm – 3.30pm, and lunch from 1.00pm – 2.00pm.

Can this be delivered for our team only?+

Yes, the programme can be arranged as a private corporate cohort. Contact us for scheduling and pricing.

CORPORATE TRAINING CONSULTATION

Bring this programme to your data & analytics team.

Our team will walk you through the curriculum, delivery modes, and help you schedule a cohort for your organisation.

🛡 Free to enquire⏱ Reply within 24 hrs🤝 Custom cohorts available
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forecast_job.pydef run_forecast():df = load_data()model = fit(df)forecast = model.predict(30)send_report(forecast)Scheduled dailyEmail reportLive dashboard
Corporate Training Programme

Bring this programme to your data & analytics team.

Fill in your details and our team will guide you through scheduling, delivery mode and enrolment.

Free to enquire
Reply within 24 hrs
Custom cohorts available
Early Bird ends soon — save RM 100/pax
GET STARTED TODAY

Ready to predict, forecast and automate with Python?

Fill in your details below and our team will contact you to guide you through programme details, scheduling and enrolment.

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    EARLY BIRD PRICING — ENDS SOON

    Ready to bring predictive power into your Python skillset?

    Join professionals who are upskilling in Python for predictive modelling, time series forecasting and automation — and lock in the Early Bird price before the countdown ends.

    ⏱️5 Days · 35 Hours
    🐍10 Core Modules
    📈Time Series Forecasting
    🤖ML & Predictive Models
    ⚙️Automation & Deployment
    📜Completion Certificate
    ⏳ Early Bird Ending

    Save RM 100 per pax before the deadline

    Early Bird pricing of RM 5,500 per pax is available for a limited time only. Register now to lock it in.

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