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Course Overview

Predictive Analytics is about discovering hidden patterns in data and making predictive outcomes using statistical models and machine learning algorithms. Advanced technical skills were needed earlier on because of the complex models and programming involved. However, with recent advancements, the latest trending tools have incorporated many built-in augmented analytics and automated machine learning algorithms. This means that business users can now DIY the entire predictive analytics project themselves.


This course covers the concepts, methodology, and techniques needed to provide an end-to-end analytics solution. Preparation of raw data into “analytics-ready” data will be covered. Popular techniques such as supervised and unsupervised learning will be introduced. Participants will learn to use a user-friendly, GUI-based process flow designing tool to automate the entire analytics lifecycle.

Entry Requirements

Possess basic Excel and statistical knowledge. No programming is required.

Who Should Attend

Individuals who are interested in learning about the concepts, methodology and techniques for end-to-end analytics.

What You'll Learn

By the end of this course, you will be able to use an analytics software to:

  • Develop an end-to-end analytics solution;
  • Understand the lifecycle of the analytics process;
  • Prepare the data for predictive analytics;
  • Perform techniques on predictive analytics (unsupervised and supervised learning);
  • Communicate the results from the models.


Introduction to Predictive Analytics

  • What is predictive analytics
  • Why predictive analytics

Data Preparation

  • Collecting data from various data files
  • Understanding data using descriptive analytics
  • Preparing data for predictive analytics

Predictive Models

  • Supervised machine learning techniques
  • Unsupervised machine learning techniques

Model Comparison and Evaluation






Participants who meet at least 75% of the required course attendance and attempt the assessment will be awarded the Certificate of Performance.

Course Schedule/Apply

Intake Info Application Closing Date Course Duration

Not Available

Not Available

2 days

9.00am - 5.30pm

Registration may be closed earlier due to overwhelming response.


For Corporate training, click here.

Course Fees

Fees Type Course Fees
(w GST) 
Singapore Citizens
Full Course Fee / Repeat Students S$481.50
Aged 40 and above / SME-sponsored S$54.45
Aged below 40 S$144.45
Non-Singapore Citizens
Full Course Fee / Repeat Students S$486.00
Singapore Permanent Residents / Long-Term Visit Pass Plus (LTVP+) Holder S$145.80
SME-sponsored (Singapore Permanent Residents) S$55.80

SkillsFuture Credit Approved. For more details, please click here

With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by the Work Support Scheme (WSS), for more information, please visit:

Lecturer/Trainer Profile

Course Contact

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