Supercharge Your Career with Generative AI & ChatGPT!
Data Science and Machine Learning
Ready to unlock the power of data? Our Data Science and Machine Learning course is here to supercharge your analytical skills and boost your decision-making abilities! Dive into the exciting world of data science and machine learning and discover how to turn raw data into valuable insights.
Data Science and Machine Learning Course
$0.00 ($1,286.20 bef. Subsidy)
-$826.00 (Subsidy)*
-$460.20 (SFC Credits)*
*This is a projected amount, should you qualify for these.
E-Learning via Zoom
2 Days, 9am to 5:30pm
Looking for 90% Subsidy?
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Why Choose Data Science and Machine Learning?
Whether you're looking to improve business operations or make smarter, data-driven choices, this course will teach you the key principles of data science and machine learning in a hands-on, engaging way. With expert guidance, you'll learn how to turn data into actionable insights, giving you a competitive edge in today’s data-driven world. Don't miss out on the chance to level up your career and make a real impact!
2-Day E-Learning via Zoom
Course ID: TGS-2025053622
Who is This Course For?
*Learners need to possess basic information and communication technology (ICT) skills. There are no *pre-requisites for professionals who would like to pursue the certification course.
Core Competencies You'll Gain:
Review programming languages
Assess business objectives
Develop functional code
Utilize scripting and algorithms
Use error handling
Apply structured testing
Develop coding frameworks
Prepare documentation
Data Science and Machine Learning Course Details
This course is designed for individuals eager to gain practical, in-demand skills in data science and machine learning to excel in today’s fast-paced, data-driven world. It meets the growing demand for analytical expertise by providing hands-on training in data analysis, machine learning algorithms, and data-driven decision-making. Ideal for professionals looking to pivot into data science, those wanting to strengthen their existing knowledge, or anyone interested in exploring the powerful world of data, this course empowers participants to make informed decisions and unlock exciting new career opportunities in tech, business, and beyond.
Synchronous
E-Learning via Zoom
2 Days,
9.00am to 5.30pm
Course Fee & Subsidies
Singaporeans aged
40 and above
Course Fee
$1,286.20
70% Subsidy
-$826.00
SFC Credits
-$460.20
Amount to Pay
$0
Singaporeans aged
below 40
Course Fee
$1,286.20
50% Subsidy
-$590.00
SFC Credits
-$696.20
Amount to Pay
$0
Permanent
Residents
Course Fee
$1,286.20
50% Subsidy
-$590.00
Amount to Pay
$696.20
*Please note that a $20 non-refundable registration fee applies for all course registrations
*Prices quoted are inclusive of GST at the prevailing rate
SkillsFuture Credits: All Singaporeans aged 25 years old and above can use their SkillsFuture Credits to fully offset the remaining fees.
UTAP Support: In addition, NTUC members can utilize UTAP to offset 50% of remaining fees (capped up to $500 per year)
Eligible Singaporeans can use their $500 SkillsFuture Credit top-up for this course (available until 31 Dec 2025).
Have questions? Read FAQ or Contact Us
Course Dates for Data Science and Machine Learning
Meet Your Trainers
Yeo Beng Wah
Counselling Expert
Mr. Yeo Beng Wah is a seasoned professional with over 35 years of experience spanning the education, electronics, and IT/software industries. He holds a Master of Business Administration and a Bachelor of Engineering. Throughout his career, Mr. Yeo has been involved in a wide array of projects, notably in the electronics design automation (EDA – CAD/CAE) sector, collaborating with companies such as Exsedia, Mentor Graphics, and Celoxica.
Dwight Nuwan Fonseka
Generative AI Specialist and Educator
With over 20 years of expertise at the intersection of technology, data science, and education, Dwight Nuwan Fonseka is a leading expert in Business Intelligence, AI, and Data Analytics. His unique multidisciplinary background, holding a degree in Biotechnology from NUS and a Master’s in Education from NTU, enables him to bridge the gap between cutting-edge technology and practical business applications.
Data Science and Machine Learning Course Outline
Learning Outcome
Review programming languages to select the best option for data processing.
Topics:
- Comparative analysis of programming languages for financial data analysis
- Evaluation criteria for selecting optimal languages based on business requirements
- Characteristics and applications of different programming paradigms in finance
- Decision frameworks for language selection in financial data science projects
Learning Outcome
Assess business objectives to determine coding requirements.
Topics:
- Identifying business objectives and their impact on software solutions
- Evaluating business constraints and compliance requirements in coding decisions
- Mapping coding requirements to business needs through structured analysis
- Case studies on aligning software solutions with business goals
Learning Outcome
Develop functional code solutions that meets business requirements.
Topics:
- Requirement decomposition techniques for financial applications
- Translating financial processes and business logic into programmatic functions
- Ensuring business compliance and accuracy in coding financial solutions
Learning Outcome
Utilize scripting and algorithmic techniques to develop efficient financial data solutions.
Topics:
- Selecting and applying algorithms for efficient financial data processing Developing automation scripts for repetitive financial data tasks
- Integrating scripting with structured coding solutions for scalable applications
- Optimizing data structures for performance and scalability
Ensuring code efficiency and maintainability in data processing solutions
Learning Outcome
Use error handling techniques to resolve coding errors.
Topics:
- Systematic error identification and debugging methodologies
- Error handling patterns for financial applications
- Analytical approaches to code review and optimization in financial models
Learning Outcome
Apply structured testing methods to improve code performance and reliability.
Topics:
- Techniques for identifying performance bottlenecks in code execution
- Applying structured testing methods (unit testing, integration testing, performance testing)
- Refactoring techniques to enhance code efficiency
- Optimizing algorithms and data structures for improved execution speed
- Measuring and analyzing code performance using profiling
Learning Outcome
Develop coding frameworks to ensure consistency and maintainability.
Topics:
- Developing structured coding frameworks for better documentation practices
- Standardizing coding structures to improve maintainability and system integration
- Applying coding conventions to ensure consistency across documentation
- Versioning strategies for tracking code changes in integrated systems
- Aligning coding frameworks with API documentation and system workflows
Learning Outcome
Prepare documentation for coding processes and system integration.
Topics:
- Best practices for documenting coding workflows and system architecture
- Maintaining clear and concise technical documentation for developers
- Documenting API specifications and software integration processes
- Writing structured reports for system updates and modifications
- Communicating technical documentation to non-technical stakeholders
3 Easy Steps to Enroll
1
choose desired
course schedule
Choose convenient classes on evenings or weekends.
2
subsidy
Calculation
Fill out the form to calculate your government subsidies.
3
register
Online
Secure your place with a deposit and start today.
achieve mastery in Data Science and Machine Learning today
Upon successfully completing the Data Science and Machine Learning course at Aventis Graduate School, you will receive an Statement of Attainment recognized by employers in Singapore. This certification serves as a testament to your expertise in digital assets, helping you showcase your skills to potential employers and professional networks.
Bonus Tip: Display your certification on LinkedIn to strengthen your professional profile and capture the attention of potential employers.
FAQ
Data Science is the field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines various disciplines like statistics, computer science, and domain expertise to analyze and interpret complex data, helping businesses and organizations make informed decisions, predict trends, and solve problems.
Yes, up to 70% funding support is available from The Institute of Banking & Finance (IBF) for our IBF-accredited programmes:
The IBF Standards Training Scheme ("IBF-STS") offers funding for training and assessment programmes accredited under the Skills Framework for Financial Services.
Eligible Singaporeans and PRs enrolled in our IBF-accredited courses can receive funding support through IBF-STS, subject to fulfilling all eligibility requirements.Yes. For self-sponsored Singaporeans aged 25 years old and above, you can use your SkillsFuture Credit to offset the remaining course fees after WSQ funding.
To check your SkillsFuture credit balance, please follow these steps:
- Go to https://myskillsfuture.gov.sg
- Click on ‘Submit SkillsFuture Credit Claims’
- Login with your SingPass
- Click on the arrow (>) at the top right hand corner. You will be able to see a drop-down list of your Available SkillsFuture Credits.
After you have registered for a course, an Aventis representative will reach out to guide you with the SkillsFuture Credits
*Please note that our courses are not eligible for “Additional SkillsFuture Credit (Mid-Career Support)’. You will only be able to use available credits from ‘SkillsFuture Credit’ and ‘One-off SkillsFuture Credit Top-Up’.Yes, all our courses are eligible for Union Training Assistance Programme (UTAP) Funding. NTUC Union members can use UTAP to offset 50% of unfunded course fees (capped at $500 per year).
This claim must be done after completion of the course. Please refer to the UTAP FAQ for more information.
Yes, both can be utilized concurrently. UTAP claims are processed after SkillsFuture Credits have been applied.
Illustrative Example:
- Total Course Fee: $1,000
- IBF Subsidy (70%): $700
- Remaining Fee: $300
- SkillsFuture Credit Applied: $200
- Out-of-Pocket Expense: $100
- UTAP Reimbursement (50% of $100): $50
The IBF funding support works on a nett fee model. This means that the subsidy is applied upfront, and you will only need to pay the balance course fees after the subsidy. For example, if you are eligible for 70% subsidy, you only need to pay the remaining 30% upfront.
To be eligible, you’ll have to meet the following prerequisites.
For Self-Sponsored:
All Singaporeans or Singapore Permanent Residents (PRs) that are physically based in Singapore and successfully complete the course will be eligible.
- Be a Singaporean Citizen or PR based in Singapore
- Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
- Pass the final assessment
Any balance course fees can be offset using your SkillsFuture Credits & NTUC UTAP funding.
For Company-Sponsored:
- Be from Financial Institutions that are regulated by the Monetary Authority of Singapore (MAS) (either licensed / exempted from licensing) or Fintech companies that are registered with the Singapore Fintech Association.
- Be a Singaporean Citizen or PR physically based in Singapore
- Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
- Pass the final assessment
A laptop is required for this course. No special software or other hardware is required for this course participation.
