Master AI for Data Science:
From Business Questions to Predictive Decisions in 2 Days.
A hands-on workshop for non-technical professionals — no coding required. Use Gemini 3, Claude Code, and KNIME to interrogate data, build predictive models, and present real business insights.
Who Should Attend?
Business Managers & Team Leaders
Making data-informed decisions but relying on gut feel because the data is too complex or hard to interpret.
Marketing, Sales, Operations, HR & Finance Professionals
Working with business data daily but stuck in spreadsheets — ready to do more with AI-powered tools.
Analysts & Consultants
Currently using Excel or basic dashboards and want to move into predictive modelling and AI-assisted analysis.
Anyone Curious About AI & Data Science
Interested in data science but intimidated by code — this workshop is built specifically for you. No programming background required.
Practical Hands-on Projects
Customer Churn Prediction Model
Build a no-code classification model in KNIME that predicts which customers are likely to leave — using real business data. Learn to read model performance metrics and translate results into actionable retention strategies.
AI-Assisted Data Interrogation
Use Gemini 3 and Claude Code to have plain-English conversations with a real business dataset — surfacing anomalies, trends, and insights that would take hours to find manually. Learn to verify AI outputs critically and avoid hallucinations.
Capstone — End-to-End Data-to-Decision Project
Work in small teams to tackle a realistic business scenario from start to finish: frame the business question, explore the data with AI, build a predictive model in KNIME, extract insights, and present a one-slide executive summary to the room.
TOPICS COVERED
Day 1 - From Business Question to Clean Data
Framing business problems as testable, AI-ready data questions
Conversational data exploration using Gemini 3 and Claude Code
Profiling, summarising, and surfacing anomalies in real datasets
Reading AI outputs critically — verifying results and avoiding hallucinations
Introduction to KNIME — nodes, ports, and the visual workflow concept
Importing CSV and Excel data into KNIME
Data preparation: filtering, joining, grouping, handling missing values, and creating calculated columns
Hands-on: Interrogate a real business dataset and prepare a clean customer dataset end-to-end
Day 2 - From Data to Prediction to Presentation
Classification vs. regression explained in plain language
Building a customer churn or sales-forecast model in KNIME — no code required
Reading and interpreting model performance metrics
Using Gemini 3 and Claude Code to design KNIME workflows and improve models
Explaining model results in business language
Capstone: End-to-end group project
Group presentations with peer and instructor Q&A
What You Will Learn
Think Like a Data Detective
Frame any business problem as a testable, AI-ready data question — turning vague concerns into structured, answerable hypotheses.
Interrogate Data with AI
Use Gemini 3 and Claude Code to have plain-English conversations with your datasets — profiling, summarising, and surfacing insights without writing a single line of code.
Read AI Outputs Critically
Know when to trust AI-generated insights and when to verify — building the judgment to avoid costly hallucinations and misinterpretations.
Prepare and Clean Business Data
Use KNIME's visual workflow to filter, join, aggregate, and transform messy real-world data into a clean, analysis-ready dataset.
Build No-Code Predictive Models
Construct classification and regression models in KNIME — forecasting sales, predicting churn, and evaluating model performance — all without writing code.
Combine AI and KNIME Together
Use Gemini 3 and Claude Code to design and improve your KNIME workflows — letting AI guide your modelling decisions and suggest feature improvements in real time.
Translate Models into Business Recommendations
Interpret model results and communicate findings in business language — turning numbers into decisions that stakeholders can act on immediately.
Present a Complete Data-to-Decision Project
Deliver a structured, end-to-end group presentation covering business question, data approach, model results, and recommendations — just like a real data project.
COURSE DETAILS
KEY TECHNOLOGIES
COURSE FEE
Self-Funded
Kickstart your AI for Data Science journey
RM 3,200
+8% SST
2 full days of in-person intensive training
Complete programme materials, tools and templates
Certificate of Completion
3-month post-training WhatsApp group support
Refresher class access
HRDC-Claimable
Upskill with your company's HRDC grant
RM 3,500
+8% SST
2 full days of in-person intensive training
Complete programme materials, tools and templates
Certificate of Completion
3-month post-training WhatsApp group support
Refresher class access
Certification + Coaching
Accelerate with personalised mentorship
RM 9,250
+8% SST
Everything in the Certification
Personalised career & AI skills roadmap
4 x 30-min personal coaching sessions with Dr. Lau or Edmund
1-year ongoing guidance for real-world implementation
Frequently Asked Questions (FAQs)
Is this course suitable for beginners?
Yes. This course is designed for business professionals from all backgrounds. You don't need to have any programming experience, we will guide you step-by-step from basics concepts to advanced techniques to build agents and AI automation workflows.
Is there any prerequisite?
No coding or technical background required. The only prerequisites are a working Gemini account (free tier is fine), a Claude account with Claude Code access, and a laptop with admin rights to install KNIME — all free tools.
What are the hardware requirements?
A laptop that can connects to the Internet is sufficient. Please contact us to for the list of websites to whitelist, if you are using a company laptop.
Is this course HRDC claimable?
Yes, this programme is 100% HRDC-claimable for all eligible Malaysian companies. We will provide all the necessary documents. For more HRDC enquiries, feel free to WhatsApp us: +6018-2777 989
Will there be a certificate?
Yes, and the evaluation is your participation during class and your contributions during the final group presentations.
Will I have projects in my portfolio?
Absolutely. You will leave with a completed end-to-end data-to-decision project — including AI-assisted data exploration, a predictive model built in KNIME, and a group presentation deck — ready to showcase to employers and stakeholders.
YOUR EXPERT TRAINERS
Dr. Lau Cher Han
This AI for Data Science certification is designed and led by Dr. Lau, AI engineer, chief data scientist and founder of LEAD.
Dr. Lau is a highly sought-after trainer in AI, data science and emerging technology, with a strong track record of training leaders and individuals from OCBC Bank, TNB, Intel, IBM, Dell, PLUS, Shell and F&N.
In 2025 alone, he trained over 1,200+ professionals across more than 200 organisations, helping them adopt AI technologies and implement real-world automation solutions.
Find out more about Dr. Lau Cher Han on:
Edmund Hee
Edmund is a CTO and data scientist with extensive experience at AirAsia and multiple tech startups.
At LEAD, he designs and delivers hands-on programmes in Data Science 360, AI Engineering, AI Automation, and AI Analytics Certification, co-trained with Dr. Lau.
With a strong blend of corporate and startup exposure, Edmund brings practical, real-world insights into every session. He has trained teams from organizations such as JPAN Sabah, MaGIC, Hitachi, and UTHM.
Find out more about Edmund on:
About LEAD
LEAD was founded in 2015 by Dr. Lau Cher Han with a simple mission: to bridge the gap between education and industry, ensuring that learning goes beyond theory and concepts, and can be applied meaningfully in real-world situations.
Ten years on, LEAD has grown into one of Malaysia's most practice-oriented technology academies, specialising in professional training across areas such as Artificial Intelligence, Data Science, Automation, and Vibe Coding.
Guided by the philosophy of "practical application over empty theory," Dr. Lau and his team have developed a hands-on learning approach that places real implementation at the center of the learning experience. The goal is to help individuals and organisations stay ahead and evolve confidently in an AI-driven world.
To date, more than 12,000 individuals have been trained, and over 200 corporate clients have been served. From online to in-person programmes, LEAD works with professionals, IT specialists, business leaders, and government agencies — continuously empowering digital transformation across industries in Malaysia.
TRUSTED BY INDUSTRY LEADERS
AI for Data Science Interest Form
Kindly fill in the form and our course coordinator will contact you via WhatsApp.
Kindly provide the information below for HRDC application processing.
For Programme Enquiries: [email protected]
For Corporate Training: [email protected]
Master AI for Data Science: From Business Questions to Predictive Decisions in 2 Days.
No coding required. Using Gemini 3, Claude Code, and KNIME, you'll learn to interrogate data with AI, build predictive models, and present real business insights — all in just 2 hands-on days.
Instead of just "learning about data", you'll:
Frame business problems as testable, AI-ready data questions
Use Gemini 3 and Claude Code to interrogate real datasets through plain-English conversations
Build no-code predictive models in KNIME to forecast sales and predict customer behaviour
Present a complete data-to-decision project to stakeholders — just like a real data scientist
By the end, you won't just have theory. You'll walk away with a working capstone project, a curated AI prompt library, and the confidence to apply data science in your organisation — starting the very next day.
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