About Course
Course Schedule
Course Structure
Financial Matters
About Course
Course Objectives
The Computing Technology Industry Association (CompTIA) DataX course is designed for experienced data professionals seeking to validate and enhance their expertise in data science and Artificial Intelligent (AI). Built on the exclusive DataX framework, this course provides a comprehensive, hands-on approach to mastering advanced mathematics, statistics, machine learning, and deep learning concepts. This course allows professionals to validate their expert-level knowledge in the rapidly evolving field of data science. Using the DataX frameworks, learners will solidify their understanding of advanced-level data tools and concepts, and learn a wide range of topics including mathematics and statistics, machine learning, operations and processes, and specialized applications of data science. learners will gain practical experience in data processing, statistical modeling, and AI-driven analysis, ensuring they can develop reliable and scalable data solutions. They will also explore specialized industry applications in finance, healthcare, and cybersecurity, applying data science to solve real-world challenges.Course Description
This course is designed to support learners in preparing for the Computing Technology Industry Association (CompTIA) DataX (DY0-001) Certification Exam, while also expanding their expertise to pursue diverse and evolving career opportunities within the data science field. It lays a strong foundation for both generalist and specialist roles, equipping learners with practical and theoretical knowledge essential for advancement in today’s data-driven industries.Course
Schedule
Duration: 40 hours
Delivery Mode: Classroom
Schedule may be subject to changes. The detailed timetable will only be released upon enrolment and closer to the course commencement date.
For self-sponsored applicant, you may proceed to apply after signing in with Singpass / Student ID.
For company-sponsored applicant, please approach your company HR to put in the application via the company portal using Corppass at STEP.
Delivery Mode: Classroom
Schedule may be subject to changes. The detailed timetable will only be released upon enrolment and closer to the course commencement date.
For self-sponsored applicant, you may proceed to apply after signing in with Singpass / Student ID.
For company-sponsored applicant, please approach your company HR to put in the application via the company portal using Corppass at STEP.
Course Structure
TPG course reference No.
TGS-2025055405
CompTIA DataX
Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
Description | CompTIA DataX | Total course fee |
---|---|---|
Full Course fee | $2,725.00 | $2,725.00 |
Enhanced Training Support for SMEs for Singapore Citizen | $317.50 | $317.50 |
Enhanced Training Support for SMEs - SPR & LTVP+ | $317.50 | $317.50 |
SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above | $317.50 | $317.50 |
SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 | $817.50 | $817.50 |
SkillsFuture Baseline Funding for SPR/LTVP+ | $817.50 | $817.50 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The payment needs to be made upon the application is submitted.
Allowed payment by
The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.