Overview
There has been a growing demand for business analytics, particularly in recent years, and this trend is expected to continue. Predictive analytics stands out as a crucial component within business analytics. It leverages Artificial Intelligence (AI) and machine learning (ML) to extract insights from data and forecast future trends and behavioural patterns in businesses. Essentially, predictive analytics provides actionable business insights by analysing extensive historical data. It has found widespread application across various industries such as banking, insurance, telecommunications, retail, travel, and healthcare, significantly impacting planning and decision-making processes. Many companies are turning to predictive analytics to enhance competitiveness and outperform rivals.
This course aims to equip participants with the necessary knowledge and skills to effectively utilise AI and ML techniques for leveraging business data. Participants will learn to identify trends and anomalies in data and use them for predictive analysis, ultimately enabling their companies to gain a competitive edge by becoming more proactive in business and marketing strategies, leading to cost reduction and increased return on investment.
The course's objective is to empower participants with the concepts, methods, and techniques of predictive analytics using AI and ML. Through the many practice hands-on workshops, participants will gain practical experience in applying predictive modeling techniques to real-life business scenarios. While the course assumes some familiarity with statistical concepts like regression and logistic regression, it will review these topics to reinforce understanding. For participants lacking prior statistical knowledge, it is strongly recommended to attend the Statistics Bootcamp II before enrolling in this course.
This course is part of the Data Science and Graduate Certificate in Business Analytics Practice Series offered by NUS-ISS.
Upcoming Classes
Class 1: 6 September to 4 October 2025 (Part Time)
Duration: 5 Days
When: Sep 6, 13, 20, 27, Oct 4
Time: 9:00am to 5:30pm
Registration Instructions
Self-sponsored Participants
- Register for the course by clicking on the "Register Now" button above
- You may refer to the User Guide for Learner
Company-sponsored Participants
- You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
- The person in-charge may register you for the course by:
- Generating a corporate registration link for you to register for the course
- After the link is generated, you must:
- Log in to L³AP by clicking on the "Register Now" button
- Click on the corporate registration link after logging in
- If you do not follow the above instructions, you will be registered for the course as self-sponsored
- Registering you for the course backend
- You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
- You may refer your HR/L&D POC to the User Guide for Company