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IBF - Data Analytics and Deep Learning for Financial Services

IBF - Data Analytics and Deep Learning for Financial Services

Embark on a transformative learning journey with our IBF-STS Data Analytics and Deep Learning for Financial Services course. Designed for financial professionals and data analysts, this course provides an in-depth understanding of data analytics techniques and deep learning models applicable to the financial services sector. Learn how to harness big data to create predictive models for risk assessment, portfolio optimization, and customer segmentation. By the end of the course, you'll possess the essential skills to analyze complex financial data and generate actionable insights for strategic decision-making.

Dive deeper into the future of financial analytics by mastering deep learning technologies. This course explores advanced techniques like neural networks, natural language processing, and recommendation systems, equipping you with the ability to identify new revenue streams, manage risks, and personalize customer experiences. With practical exercises based on real-world financial data, you'll gain hands-on experience in implementing these advanced analytics solutions, positioning you as a key player in your organization's data-driven transformation.

Learning Outcomes

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

perform Python coding for data analytics and computational modeling
perform data analytics and visualization to translate insights and patterns embedded in the data
apply basic deep learning techniques using Tensorflow to isolate trends and analyse root causes of issues
apply advanced deep learnings models to uncover relationships between variables

Brochure

Please download the brochure here

IBF-STS Accrediation - 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
$1600	$144.00	$944.00	$624.00

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

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

About IBF Certification

This course address the following Technical Skills and Competences (TSCs) and proficiency level: Data Analytics and Computational Modelling FSE-DAT-4019-1.1 Level 4 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-2022601648

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 - Python Fundamental

Topic 1.1 Get Started on Python

Overview of Python
Set Python
Code Your First Python Script

Topic 1.2: Data Types

Number
String
List
Tuple
Dictionary
Set

Topic 1.3 Operators

Arithmetic Operators
Compound Operators
Comparison Operators
Membership Operators
Logical Operators

Topic 1.4 Control Structure, Loop and Comprehension

Conditional
Loop
Iterating Over Multiple Sequences
Comprehension

Topic 1.5 Function

Function Syntax
Return Values
Default Arguments
Variable Arguments
Lambda, Map, Filter

Topic 1.6 Modules & Packages

Import Modules and Packages
Python Standard Packages
Third Party Packages

Topic 2 - Data Analytics and Visualization with Python

Topic 2.1 Data Preparation

Data Analytics with Pandas
Pandas DataFrame and Series
Import and Export Finance Data
Filter and Slice Finance Data
Clean Missing Data

Topic 2.2 Data Transformation

Create Computed Data Column
Join Finance Data with Concat, Append and Merge
Aggregate Data with Groupby and Pivot Table

Topic 2.3 Data Visualization

Visualize Time Series Data with Line Plot
Visualize Statistical Relationships with Scatter Plot
Visualize Categorical Data with Bar Plot and Pie Plot
Visualize Variation with Box Plot
Visualize Distribution with Histogram

Topic 2.4 Data Analysis

Descriptive Statistics
Rolling Window Average Analysis
Covariance and Correlation

Topic 2.5 Advanced Data Analytics

Apply
Data Piping

Topic 3 Basic Deep Learning with Tensorflow

Topic 3.1 Introduction to Deep Learning

Overview of Artificial Intelligence (AI) and Deep Learning
Evaluation of Data Analytics Platforms for Deep Learning
Applications of AI to Finance Services
Deep Learning Methodology

Topic 3.2 Neural Network for Regression

What is Neural Network (NN)?
Activation Functions
Mean Square Error (MSE) Loss Function for Regression
Optimization Algorithms
Build a Predictive Regression Model for Sales Forecasting

Topic 3.3 Neural Network for Classification

One Hot Encoding and SoftMax
Cross Entropy Loss Function for Classification
Build a Classification Model for Classifying Currency Notes

Topic 4 Advanced Deep Learning Computational Models

Topic 4.1 Image Classification with Convolutional Neural Network (CNN)

Introduction to Convolutional Neural Network (CNN
Build a Image Classification Model for Currency Notes Detection
Small Dataset Overfitting Issue
Methods to Solve Overfitting Issues
Transfer Learning

Topic 4.2 Time Series Forecasting with Recurrent Neural Network (RNN)

Introduction to Recurrent Neural Network (RNN)
LSTM and GRU Models
Build a Time Series Forecasting Model for Stock Price

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

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

Financial Data Scientist
Quantitative Analyst
Risk Management Analyst
Portfolio Manager
Investment Banker
Credit Analyst
Finance Machine Learning Engineer
Asset Manager
Algorithmic Trader
Financial Modeler
Finance Business Intelligence Specialist
Financial Technology Developer
Bank Operations Analyst
Hedge Fund Analyst
Insurtech 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.

Terence Ee: Terence Ee is a ACTA certified trainer that has delivered IT training in Singapore and Myanmar. He has also facilitated faith formation courses for Christians in Singapore and Myanmar. As a trainer, his mission is to co-create insightful and actionable learning experiences with his learners.His current areas of focus include project management, information security management, quality management and office productivity applications.
Terence has more than 25 years of corporate IT experience. He has held senior management roles in the public and private sectors. He holds a Master of Science in Technology Management, a Bachelor of Science in Computer and Information Sciences, a Diploma in Family Education, and the Advanced Certificate in Training and Assessment (ACTA). Part of his spare time goes towards tutoring his children in their studies (while learning a thing or two along the way). He is also imparting to them the essential skills for thriving in a digital world.

Customer Reviews (259)

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

Dr.Alvin Ang is a very helpful and friendly instructor. I have learned a lot from him. Hope to come back again for further re-skilling. (Posted on 8/7/2024)

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

he course was informative and insightful. It was a real pleasure learning from Alvin (Posted on 4/12/2024)

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

Alvin is very knowledgeable on the subject at hand and his industrial insights are most valuable. The smaller group setting is definitely a plus for hands-on learning. (Posted on 2/17/2024)

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

I joined the course recently. It was a very engaging course with Dr. Alvin. His enthusiasm and delivery kept the students engaged. He shared a lot of real-life examples throughout the course. (Posted on 2/17/2024)

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

Overall, it was a very informative and enjoyable training course. The content was well covered and the trainer also demonstrated the concept very well. I truly enjoyed the course and had many takeaways from the class.

Dr. Alvin is extremely knowledgeable and his delivery style is very engaging. The course was delivered at a perfect pace for me and had a good mix of theory and real-life applications.

Thank you and keep up the great work! (Posted on 6/26/2023)

Dr Alvin Ang is a really good trainer, very knowledgeable & ready to answer our questions. Thank you! 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

It's really good, please continue.
(Posted on 6/25/2023)

Dr Alvin Ang is a very knowledgeable, professional and passionate traine 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

Dr Alvin Ang is a very knowledgeable, professional and passionate trainer. Dr Alvin made the course very interesting ,very engaging and ensures all the various concepts is easy understood by for non - data science background student. He also shared many useful data science websites/knowledge too. I would highly recommend anyone who are interested in AI subject matter using Popular Deep Learning tools to approach him. (Posted on 4/20/2023)

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

More structure (Posted on 12/29/2022)

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

More structure (Posted on 12/28/2022)

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

Provide hardcopy of the notes. Include use case to detect anomaly in alerts or ML in detecting suspicious traffic in firewall logs.

Dr Alvin was my trainer during the 4days course. He has a pleasant personality and shared many of the interesting concept/knowledge through real-life use cases besides class notes. As a person with a strong passion in data science, he selflessly shared many useful data science websites/knowledge too. I would highly recommend anyone who are interested in AI subject matter using Python to approach him. (Posted on 11/24/2022)

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 11/24/2022)

Dr. Alvin is very knowledgeable, super friendly 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

Dr. Alvin is very knowledgeable, super friendly and extremely keen to share his knowledge and experiences. Lessons were spontaneous, fun and easy to understand. Thanks ! (Posted on 10/27/2022)

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 10/27/2022)

Dr Alvin is enthusiastic and passionate about sharing his deep knowledge of Data Analytics and Artificial Intelligence with the class. 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

Zoom experience was not perfect (audio was choppy). Would be good to ensure proper setup for Virtual classrooms.

Dr Alvin is enthusiastic and passionate about sharing his deep knowledge of Data Analytics and Artificial Intelligence with the class. He goes beyond the syllabus to share many real world applications of how AI is being used and future job trends in the Data Analytics field. He provided the class many useful resources as well. (Posted on 10/27/2022)

Dr. Alvin Ang is an established authority in the fields of data science 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

Dr. Alvin Ang is an established authority in the fields of data science, statistics and machine learning with numerous publications and industry connections to his name. He goes the extra mile to share his years of valuable industry experience to benefit us as participants of this futuristic industry. I am extremely satisfied and proud to call myself a student of Dr. Alvin Ang. Thank you so much, Dr. Alvin! (Posted on 10/27/2022)

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 9/1/2022)

Dr. Ang was my trainer on Data Analytics and Deep Learning for Financial Services course. 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

Dr. Ang was my trainer on Data Analytics and Deep Learning for Financial Services course. He is well-versed in the field of data analytics, machine learning and deep learning. I was able to comprehend Dr. Alvin teachings very effectively because he would spend every effort in making sure his students are able to understand the content well. He is a very passionate educator & tries his very best to teach as much as he can within the 4 days class. His class is exiting and engaging.
I highly recommend this course to anyone who is interested in starting a journey on machine learning and deep learning!
I am thankful to have the opportunity to have learnt from him! (Posted on 9/1/2022)

Dr Alvin is very knowledgeable and friendly and the course is very engaging. 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

Dr Alvin is very knowledgeable and friendly and the course is very engaging. Real life examples were used throughout the course. He is approachable and helpful. Thumbs-up to him! (Posted on 9/1/2022)

Dr Alvin Ang is a very engaging and knowledgeable trainer. 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

Dr Alvin Ang is a very engaging and knowledgeable trainer. He goes above and beyond to share his knowledge about various aspects of data science and he makes the concepts easy to follow and relevant, and adjusts it for different learners. (Posted on 9/1/2022)

Dr. Alvin was knowledgeable and passionate about teaching. 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

Dr. Alvin was knowledgeable and passionate about teaching. He explained the technical topic in layman's terms and in an interactive way that made the course enjoyable. Most importantly, I was able to grasp the idea of how I can apply the knowledge I had learned from the course to real-world. (Posted on 9/1/2022)