KNIME | 2-Day Codeless Data Analytics & ML Workshop
π‘ Why Join This Workshop?
π΅ Rapid advancements in data analytics and machine learning demand strong skills in data analysis and predictive modeling across various sectors. However, traditional programming requirements often present a significant barrier for many individuals.
π΅ The Codeless Data Analytics & Machine Learning Modelling workshop is specifically tailored to break down these barriers. Using the KNIME Analytics Platform, you will learn to build visual analytical workflows without typing code.
π΅ Through a hands-on approach, expert instructors will guide you through the full data lifecycleβfrom data preparation and manipulation to building and validating predictive models.
π― Workshop Objectives
Upon completing this workshop, participants will be able to:
- Master Core Concepts: Understand the foundational principles of data analytics, machine learning, and visual programming.
- Utilize the KNIME Platform: Develop practical skills in using KNIME for data preparation, transformation, analysis, and visualization.
- Build Predictive Models: Develop regression and classification models codelessly.
- Model Validation & Evaluation: Apply proper techniques for model training, validation, and performance evaluation.
- Drive Impactful Applications: Apply data analytics skills within your respective disciplines and workplace sectors for data-driven decision-making.

π₯ Who Should Attend?
This program is open to and highly recommended for:
- Students & Researchers: Looking to accelerate research data analysis without coding hurdles.
- Lecturers & Academicians: Seeking to integrate modern analytics tools into teaching and research.
- Industry Professionals: Aiming to make high-impact decisions backed by organizational data.
- Government & Public Sector Personnel: Interested in data modeling for socio-economic transformation and public policy.
π Program Tentative & Module Breakdown


π° Registration Fees
| Participant Category | Fee per Person |
|---|---|
| Student | RM 450.00 |
| UKM Lecturer | RM 650.00 |
| General / Industry / Public Sector | RM 800.00 |
Have Any Enquiries? Contact Us
Assoc. Prof. Ir. Dr. Siti Fatin Mohd Razali
Event Director
- Email: ksutra@ukm.edu.my