CZ4032: Data Analytics and Mining
Course Type: Certification | Study Mode: Part-Time
Keywords: Undergraduate | IT | Data Analytics
Course Detail
Introduction
This subject covers a comprehensive introduction to data analytics and mining. Introduction of Data Analytics & Mining; Data Pre-processing; Data Analytics & Visualization; Cluster Pattern Analysis; Predictive Pattern Mining; Association Rule Mining; Anomaly Detection.
Curriculum Overview
a) Understand the multidisciplinary nature of data analytics, data mining and knowledge discovery
b) Become familiar with some basics and current research issues in data mining
c) Acquire hands-on experience in using conventional data mining software/tools
d) Ability to critically evaluate original research papers
e) Ability to communicate complex technical material orally and in written form
f) Ability to learn independently by continuous interactions with a set of self-learning modules that complement the physical contact hours
Entry Requirements
Working professionals with prior knowledge of CZ2001 Algorithms previously.
- At least 21 years of age
- Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
- Degree in Engineering/Science or
- Polytechnic Diploma with relevant working experience
Other Information
Funding
- SkillsFuture Series / SSG
- SkillsFuture Credit
- NTUC-UTAP
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