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Course Overview

The course is designed with a top-down approach to data science projects, following the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. It covers theoretical concepts of machine learning algorithms and evaluation metrics, which are then applied using KNIME for hands-on implementation.

Entry Requirements

Possess basic data visualisation skills, including data sorting and a foundational understanding of Excel.

Who Should Attend

Individuals looking to improve data storytelling and leaders building a data-driven culture.

What You'll Learn

Theory & Hands-on

  • Introduction to CRISP-DM methodology
  • Introduction to different types of commonly used machine learning algorithms and evaluation metrics:
    • Classification Algorithms: Decision Trees, Logistic Regression or K-NN
    • Clustering: K-Means
    • Regression / Prediction algorithms: Linear Regression
    • Model evaluation metrics
  • KNIME Installation: brief walk through for installation of add-ons & extensions
  • Implementation of machine learning algorithms using KNIME

 

Certification

 

Participants who meet at least 75% of the required course attendance and pass the assessment will be awarded a Certificate of Completion.


For more information on course fee / schedule, or to apply,

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Course Contact

  • 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757

     

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.

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