Supported by CPA Australia, this course teaches you how to plan, design, and apply data analytics tests to identify red flags of fraud.
15 Aug 2024
2 days
In-person
SGD
$1,962.00
Up to 90% SF Funding
Accounting and Finance, Business Management, Data Science and Analytics, Audit
Infocomm Technology
Applied Python Fundamentals
This course helps non-technical learners to acquire programming basics, then advancing into technical areas such as machine learning, web services, and data visualisation.
To be advised
3 days over 3 weeks
To be advised
To be advised
Up to 90% SF Funding
Data Science and Analytics, Programming and Software Development
Business, Communication and Design
Database Management and Data Protection
This course teaches you how to design and manage databases for accurate and relevant data analysis, comply with data protection regulations, and understand how real-world activities are represented in databases.
To be advised
2 days
To be advised
To be advised
Up to 90% SF Funding
Accounting and Finance, Data Science and Analytics, Audit
Infocomm Technology
DSF6010 Application of Data Engineering
This module trains you in data wrangling using Python, creating and working with SQL and NoSQL databases, big data processing with Apache Spark, and machine learning with sklearn, preparing them for an entry-level position in data engineering.
To be advised
6 days
To be advised
To be advised
Up to 90% SF Funding
Stackable towards:
Postgraduate Certificate in Data Engineering and Smart Factory
AI and Machine Learning, Data Science and Analytics
Infocomm Technology
Ethical Computing and Data Analysis
This foundation micro-credential introduces learners to skills required by IT professionals, including ethics, computer systems, Python, and applied statistics.
To be advised
3+ months
To be advised
To be advised
Up to 90% SF Funding
Stackable towards:
Bachelor of Science (Honours) in Applied Computing (via the CSM Pathway)
Computer Ethics and Privacy, Programming and Software Development, Data Science and Analytics, Competency-based Education
Infocomm Technology
Machine Learning II: ML Fundamentals and Supervised Learning
This course establishes math and programming foundations for Machine Learning. It covers supervised learning techniques, Python programming and problem-solving. It is mapped to Smart Industry Readiness Index.
To be advised
3 days
To be advised
To be advised
Up to 90% SF Funding
AI and Machine Learning, Data Science and Analytics
