Live In-Person Program
TAFE's Work Integrated Learning – Data Analytics with SAS 2025
About SAS and TAFE's Integrated Learning Program:
SAS Institute Australia, a leader in AI and Analytics has partnered with TAFE NSW's Institute of Applied Technology Digital (IATD) to offer a Work Integrated Learning course, micro-credential on Data Analytics Lifecycle that can be undertaken upon completion of the Data Analytics Pathway.
Attending a Work Integrated Learning (WIL) course as a micro-credential offers key benefits, including practical experience in real-world environments, development of both technical and soft skills, industry exposure, and networking opportunities.
In this course explore the Advanced Analytics Lifecycle from Enterprise Skills, Problem Definition and Business Decisions through a real-world use case industry project. Once you have completed the Data Analytics Pathway, you can enrol in IAT-Digital’s work-integrated learning opportunity with SAS to gain real-world experience and connections to advance or start your career in data analytics.
Why join this course?
- Unleash Your Potential: Whether you dream of analysing financial data, optimising supply chains, or predicting customer behaviour, this course aims to prepare you for success in any data-driven environment.
- Real-World Use Cases: Get ready to tackle real-world challenges with confidence. This course will dive into real-world use cases ready to tackle complex problems head-on. Gaining a combination of analysising data to visualising insights skills, you’ll gain practical experience that sets you apart.
- Connect with Industry Leaders: Learn directly from experienced
professionals and build relationships with mentors who have excelled in the data field. Increase your networking opportunities and stay up-to-date with the latest trends and best practices.
- Elevate Your Career Path: No matter where you are at in your path, our program provides the skills you need to excel. This course can help transform your career.
What you’ll gain:
- Master core business and analytical skills
- Learn how to collect, explore, and interpret data to solve real-world problems
- Initiate and validate ideas using data-driven approaches
- Build and deploy machine learning models
- Understand key principles of data governance and ethical data use
- Design advanced, interactive dashboards
- Apply hypothesis testing to guide decisions with data
- Use advanced analytics techniques for deeper insights
- Implement frameworks for governance, risk, and compliance
- Present compelling stories through data visualisation & narrative technique
Learning roadmap:
- Week 1: Enterprise Skills including self-paced online learning SAS Studio
- Week 2: Problem Definition and Data Collection
- Week 3: Idea Initiation and Exploratory Data Analysis including self-paced online learning – SAS Visual Analytics basic
- Week 4: Data Modelling and Machine Learning + optional online learning – SAS Model Studio
- Week 5: Data Governance and Ethics
- Week 6: Project Management and Communications optional online learning – SAS Model Manager
- Week 7: Building Advanced Dashboards for Data Projects optional online learning – SAS Visual Analytics Advanced
- Week 8: Final Project Presentations
Includes optional SAS Specialist Certification
Eligibility:
- You must be 15 years or older, live or work in NSW
- Not be enrolled in secondary education (home-schooled students are exempt)
- Be an Australian citizen, permanent resident, humanitarian visa holder, or New Zealand citizen OR hold a partner visa where the sponsor is a humanitarian visa holder
Join the WIL program for $1,990*.
Last date to enroll is 14th July 2025 —
Secure your spot today.
*For eligible candidates only. See criteria below.
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Step into the future of work with confidence
Once you have completed the Data Analytics Pathway, you can enroll in lAT-Digital's work-integrated learning opportunity with SAS to gain real-world experience and connections to advance or start your career in data analytics
| Focus Area | Pre-Requisite | Step 1 Work-Integrated Learning | Step 2 Career Launchpad |
|---|---|---|---|
| What you'll do |
OR
| Practical, project-based program Work with industry partner SAS Includes self-directed learning | Apply your skills to secure roles and progress in your career |
| Duration & Effort | 8 weeks every Saturday 9am - 4pm AEST | Based on your career goals | |
| Outcome | Gain real-world experience with SAS | Career advancement opportunities | |
| Career Roles | • Market Research Analyst • Intelligence Analyst • Data Analyst • Data Modelling Analyst • Operations Research Analyst • Business Analyst |