Predictive Analytics - Insights of Trends and Irregularities
About This Course
This course aims to equip participants with the necessary knowledge and skills to effectively utilise Artificial Intelligence and Machine Learning 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 Artificial Intelligence and Machine Learning. Through the many practice hands-on activities, 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 in Action: Driving Data Insights 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.
What You'll Learn
• Recognise the areas where predictive analytics, driven by Artificial Intelligence and Machine Learning, can be utilised and the advantages it offers.
• Examine the objectives of predictive models and assess the available data.
• Develop a predictive analytics framework, incorporating Artificial Intelligence and Machine Learning techniques efficiently.
• Appraise and choose suitable testing approaches to validate predictive models.
Interpret the outcomes and communicate decisions to senior management, facilitating deployment to assist end users.
Entry Requirements
Participants are required to have completed the Statistics in Action: Driving Data Insights course prior to attending this course.
The course workshops are conducted in R or Python. If participants have strong knowledge and experience in statistics and have not attended the Statistics in Action: Driving Data Insights course, you will be required to send your CV or transcript for review.