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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

IBF - Machine Learning 101 for Financial Trading

Unlock the potential of machine learning in the financial trading sector with our IBF-STS Machine Learning 101 for Financial Trading course. Designed for both traders and finance professionals, this course demystifies the complex world of machine learning, teaching you how to analyze market data, develop predictive algorithms, and create automated trading strategies. You'll gain the knowledge and tools to identify profitable trading opportunities, manage risk, and maximize returns, making you an invaluable asset in today's fast-paced trading environment.

Master the application of machine learning algorithms for effective trading decisions. This course dives deep into key machine learning techniques such as regression analysis, clustering, and classification, giving you the skill set to construct, backtest, and deploy trading models. With hands-on exercises and real-world trading data, you'll be able to apply your newly-acquired skills instantly, boosting both your portfolio's performance and your market reputation.

Learning Outcomes

By the end of the course, learners will be able to 

  • develop and analyse machine learning algorithms of financial data to derive patterns and trends
  • perform coding and testing of machine learning algorithms

Brochure

Please download the brochure here

IBF-STS Accreditation - Up to 70% Funding

Effective for courses starting from 1 Jan 2024
Full Fee GST Nett Fee after Funding (Incl. GST)
Singaporeans below 40 yrs old and PR Singaporeans above 40 yrs old
$900 $81.00 $531.00 $351.00

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

About IBF Certification

This course address the following Technical Skills and Competences (TSCs) and proficiency level:  

Data Analytics and Computational Modelling Level 3 TSC under Financial Services Skills Framework

Participants are encouraged to access the IBF MySKills Portfolio https://www.ibf.org.sg/programmes/Pages/MySkills-Portfolio.aspx to track their training progress and skills acquisition against the Skills Framework for Financial Services. You can apply for IBF Certification after fulfilling the required number of Technical Skills and Technical Competencies (TSCs) for the selected job role. 

Find out more about IBF certification and the application process at on https://www.ibf.org.sg/certification/Pages/Why-be-Certified.aspx.

Course Code: TGS-2023018794

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$900.00 (GST-exclusive)
$981.00 (GST-inclusive)

Course Date

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Overview of Machine Learning Methodology

  • Introduction to Machine Learning
  • Machine Learning vs Deep Learning
  • Supervised vs Unsupervised Learning
  • Machine Learning Implementation Steps
  • Target and Features
  • Model Training and Prediction
  • Metrics to Evaluate Machine Learning Models

Topic 2 Supervised Learning Models and Applications

  • The Linear Regression Model
  • Logistics Regression Model
  • Naïve Bayes Model
  • Decision Tree Model
  • Random Forest Model
  • XGBoost Model
  • Neural Network Model

Topic 3 Unsupervised Learning Models and Applications

  • K-Means Clustering Model
  • Hierarchical Clustering Model
  • Principal Component Analysis

Final Assessment

Course Info

Promotion Code

Promo or discount cannot be applied to IBF-STS courses

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

Self-Sponsored Individuals

  • Up to 70% subsidy is available for Singapore Citizens and Permanent Residents of Singapore, physically based in Singapore. GST funding support will no longer be applicable for all courses.

Company-Sponsored Individuals

  • Up to 70% subsidy is available for Singapore Citizens and Permanent Residents of Singapore, physically based in Singapore. Please note:
  • The company must be a Financial Institution regulated by MAS or a FinTech firm certified by Singapore FinTech Association (SFA)
  • To register, please email your company name and your name to reachus@knowledgehut.com.sg.
  • For more information on the IBF subsidies and eligibility, please visit:  https://www.ibf.org.sg/programmes/Pages/IBF-STS.aspx

Steps to Apply Skills Future Claim

  • The staff will send you an invoice with the fee breakdown.
  • Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
  • Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
  • Upload your invoice and click ‘Submit’

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

  • SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
  • All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
  • An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
  • UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
  • UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Job Roles

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Research Scientist
  • Business Intelligence Specialist
  • Data Engineer
  • Software Developer (interested in ML)
  • Statistician
  • Predictive Modeler
  • AI Solutions Architect
  • Quantitative Researcher
  • Data Visualization Specialist
  • Analytics Consultant
  • Product Manager (focused on AI/ML products)
  • Innovation Specialist

Trainers

Dr. Alvin Ang: Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dr. Alfred Ang: Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang is a ACTA certified trainer and DACE certified course developer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Customer Reviews (7)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 3/17/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Class was well taught by Dr Alvin. He was engaging and detailed with his explanations (Posted on 3/17/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The IBF accredited course IBF - Machine Learning 101 for Financial Trading is well structured and meticulously delivered by Dr Alvin Ang. This course will equip you with useful knowledge, coding skill and practices in building machine learning model for financial trading.
Dr. Alvin is passionate about data science, trading as well as being a trainer. He had showcased his broad experience in data science and was able to deliver complex topics in a simpler and less overwhelming way. Apart from the course contents, Dr. Alvin shared about useful insight from a variety of resources and career advancement which are relevant to the course
It was an informative and interactive course where Dr Alvin’s open to discussion. I would recommend this course if you would like to explore the opportunities of using machine learning algorithms for trading. (Posted on 1/5/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I believe that extending the course to 4 days or more would be beneficial, given the wealth of knowledge Dr. Alvin Ang has to offer. His expertise, patience, and passion make him an exceptional educator, and I'm grateful for the knowledge and skills I acquired under his guidance.

I had the privilege of attending his course, which was an incredibly enriching experience. Dr. Ang's deep expertise in data, AI, and engineering was evident as he shared his extensive knowledge and ensured we could apply it practically.

His teaching style, driven by his contagious passion for data, sparked our curiosity and encouraged us to delve deeper into the subject. Beyond learning ML for Trading, I gained valuable insights into other relevant skills and development areas.

Overall, highly satisfied and recommended. (Posted on 9/4/2023)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Trainer knowledge & provide drink (Posted on 5/12/2018)
Every thing is good actually. No complaints here. Keep up the good work. Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The instructor Siva is great. He explains everything clearly, also very polite and has a lot of patience. Now I want to enroll on other related courses because I learned a lot from this one. Two thumbs up. (Posted on 11/9/2017)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
As this is only a one day course, I understand that it will be hard to cover all the fundamental topics. Most of the topics would be touch-and-go, and hands-on might be limited. That's what happen for this course. But its understandable, as explained. To help the learner, it would be good if current notes can be explained, specifically, some basic steps or instructions on the solidworks function to be covered. This can 'make-up' for the touch-and-go nature of the one day course. (Posted on 8/18/2017)

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