Post Diploma Certificate in Data Preparation for Analytics with AI and Applied Machine Learning - Part of Specialist Diploma in Applied AI (Data Analytics) (SDAAD)

Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2026066157
S$5,055

About This Course

This Post Diploma Certificate develops end-to-end skills in preparing data and applying machine learning to uncover patterns and support data-driven decisions. In Data Preparation and Modelling, learners gain hands-on practice in manipulating, cleaning and transforming diverse datasets, and building analytical models that yield reliable insights. In Machine Learning, they are introduced to core concepts and popular algorithms, including linear and logistic regression, decision trees and K-means clustering, and learn to train and evaluate models using leading software to address practical organisational challenges.

What You'll Learn

This Post Diploma Certificate aims is to build the skills to identify, cleanse and aggregate data sources and create data models that form the foundation for exploratory data analysis. Students will also learn to implement machine learning models with various code libraries.

Entry Requirements

Applicants must possess a diploma or higher qualification from local Polytechnics/Universities in any discipline or at least 1 year of relevant work experience.

Applicants with other equivalent qualifications will be considered case-by-case based on relevant work experience.

Other requirements:
•Learners enrolled into the course are expected to bring along their personal laptop
•Basic IT literacy, including operating system navigation, digital file management (creating, saving, organizing), and the use of standard productivity software (e.g., Microsoft Office, Google Workspace), is expected of participants.
•In addition, learners must be adept at using web browsers for research and communicating through email and video conferencing technologies (MS Teams).

Course Details

Duration 150 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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