KNIME | 2-Day Codeless Data Analytics & ML Workshop


πŸ’‘ Why Join This Workshop?

πŸ”΅ 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.

πŸ”΅ 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.

πŸ”΅ Through a hands-on approach, expert instructors will guide you through the full data lifecycleβ€”from data preparation and manipulation to building and validating predictive models.

🎯 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.

πŸ‘₯ 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.

πŸ“… Program Tentative & Module Breakdown


πŸ’° 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

PIC

Assoc. Prof. Ir. Dr. Siti Fatin Mohd Razali

Event Director

  • Email: ksutra@ukm.edu.my

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