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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

 

 

 

Certification

 

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 AM - 5:30 PM)

Register Interest

View the application guide here

Course Fees

Fee Type Item Course Fees
(w GST) 
Full Course Fee S$481.50
SG Citizens aged 39 & below / Permanent Residents S$144.45
SG Citizens aged 40 & above / SME-sponsored SG Citizens & Permanent Residents S$54.45

SkillsFuture Credit Approved. For more details, please click here


With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by Work Support Scheme (WSS), for more information, please visit: 
https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html



Requirements

Please note that participants should achieve at least 75% of attendance and sit for the assessment at the end of the course. Participants who fail to meet the requirements will be withdrawn from their funding eligibility and participant/company sponsor will be requested to make payment for the difference in the course fee, which is the funded amount.

Lecturer/Trainer Profile

Course Contact

  • 67881212
  • 8.30am – 6.00pm (Mon – Thu)

    8.30am – 5.30pm (Fri)

    Closed on Sat, Sun & Public Holidays

    Due to Safe Management Measures, our office is currently closed.

    Please call or email us your enquiry.

    Thank you for your patience and understanding.

  • Website: https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy
    Temasek Polytechnic
    East Wing Block 1A,
    Level 3, Unit 81
    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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