Advanced Diploma in Data Science

Overview

Data Science is a blend of data wrangling, data visualization, machine learning, mathematical and statistical methods with the goal to discover hidden patterns from the raw data.

To arm the students with the knowledge to extract meaningful patterns, trends, and relationships from large datasets.
To enable the students to make useful, logical, mathematically sound predictions with high accuracy using data.
To provide the student the ability to apply the techniques of data science in the business world to make accurate predictions, maximize revenue, minimize costs and optimize workflows.

Entry Requirements

A/L with 3 passes (3S) with 3 years' experience in a relevant field OR Degree with 1 year experience in a relevant field.
"Exception will be made for school leavers on a case by case basis"

Syllabus / Content

SEMESTER 1

• Introduction to Programming in Python
• Calculus for Data Science
• Linear Algebra for Data Science
• Statistics 1 for Data Science
• Machine Learning

SEMESTER 2

• Statistics 2 for Data Science
• SQL Databases for Data Science
• NoSQL Databases for Data Science
• Data Visualization with Python
• Data Visualization with Tableau
• Independent Research Project