July 2026: Programme in Lending Application Using R-Credit Model Building

Programme in Lending Application Using R-Credit Risk Model Building

Are you ready to elevate your expertise in financial analytics? This July, join our comprehensive programme designed to help you master Machine Learning, Data Science, and R Programming for credit model applications.

What you will gain:

• A strong foundation in ML & Data Science tailored to financial services

• Practical skills in building credit models using R

• Hands-on experience with clustering, segmentation, and time series analysis

• Insights into applying advanced techniques to real-world lending applications

️ Live Sessions (11am–12pm MYT):

• 11 July 2026: Overview of ML & Data Science in Financial Services

• 18 July 2026: Credit Model Using R Programming

• 25 July 2026: Clustering & Segmentation in R

• 1 August 2026: Time Series Analysis for Credit Models in R

Whether you’re a data enthusiast, financial analyst, or aspiring model builder, this programme will equip you with the tools to make smarter lending decisions.

Who Suits the Programme

• Fresh graduates

• University students

• Pre-university students (IGCSE A Level, STPM, Matriculation, UEC) who may have studied time series analysis or R programming

The programme is not restricted to learners without prior experience. If you are capable of independent learning and able to catch up, you are welcome to join.

 Benefits:

Upon successful completion of the courses, you will be awarded a digital certificate of completion. This certificate comes with a unique credential ID for easy verification and can be proudly shared on LinkedIn or other professional platforms to showcase your achievement.

Registration Deadline: 11 July 2026 10:00am MYT

Our Instructors Background:

1. Dr Donald Wedding-Professor, Northwestern University and Head of Data Science, ATM. 3 decades of experience in teaching, consulting and senior industry positions (VP) at Key Bank, SAS etc. Dr Wedding is a highly popular instructor at Northwestern and has extensively taught courses online across the world. Based in Ohio, USA. BS, EE; MS, Engg; PhD, Engg University of Toledo. MS, Data Science, Central Connecticut State University.

Linkedin: https://www.linkedin.com/in/donaldwedding/

2. Kaustuv Ghosh-CEO, ATM and visiting faculty in the management programme for AI, SBS India. 3 decades of experience as senior level technologist, executive, serial entrepreneur. Focus on AI, Fintech, Data Science, Education. Sybase, NETS, Sinar Mas, Orga Systems, Simply Tapp. Author of 2 books on AI. Based in Singapore. 

MSc, National University of Singapore and PGDIP Communications, MICA. 

Linkedin: https://www.linkedin.com/in/kaustuvghosh1972/

For more assistance, kindly contact FINTLAS at [email protected] .

For more upcoming events, kindly follow FINTLAS at Linkedin: www.linkedin.com/company/fintlas-applied-fintech-learning/ or Instagram: @fintlas.learning

Download Ticket PDF

1. Upon successful registration, you are expected to receive a Ticket Purchase Confirmation email auto-generated by ticket2u. We kindly advise you download the ticket PDF which would contain the zoom meeting link.

2. If you have lost the Ticket Purchase Confirmation email, we kindly advise you to come to our event page, click the Retrieve Ticket button and key in your email address. You are expected to receive the Ticket Purchase Confirmation email again. 

 Withdrawal & Refund Policy:

1. The programme fee is non-refundable upon the registration. We kindly advise you to check your commitment for the full programme before making payment.

2. Sessions run at fixed dates and times. If students withdraw midway or fail to attend some classes due to the change of timings, partial refunds will be made to the respective students upon the requests. Successful partial refunds will be made after checking the attendance data.

3. No refund would be made if you have lost the tickets (which contains the meeting link). 

Additional Fee

1. An additional fee of RM5 will be applied for each request to issue a digital certificate with a credential ID, unless the error was made by FINTLAS. We kindly advise you to ensure that the correct name is submitted for printing on the digital certificate.