Fill the Gaps in 2 months

In 2-month part-time mode, we will equip you with the hands-on technologies needed to fill the gaps to drive financial innovation initiatives and increase competitiveness. In PREPARATION, you will pre-study basic programming knowledge. In CORE, you will learn the five key technologies with case studies. Finally in CONTINUE, you will continue to learn the latest technologies via our online platform. The goal is to apply what you have learnt immediately in daily operations in the financial industry.

DANGER Eduction: Big Data in TechFin Program

Curriculum

Prepare for future financial services priorities

Campaign offer with rebate:

New year offer: HK$15,000 HK$9,000

Course Code: de6001
Medium of teaching: English & Cantonese
For who: Advancing career in financial industry or joining the financial industry

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Student Review

PREPARATION

Before Start: pre-study basic programming

CORE

2-months: upskill with five key technologies

CONTINUE

Ongoing: learn the latest technologies

CORE (2 Months)

Module 1: Robotic process automation (RPA)

Learn network concepts including the OSI model, TCP/IP and HTTP. Understand webpage langagues such as HTML, CSS, and JavaScript with their significance in web automation. Gain hands-on experience in web scraping using Python libraries like Requests, BeautifulSoup, Selenium for browser automation and robot prevention mechanisms like ReCaptcha. Finally learn how to automate desktop applications like MS Word, Excel, and Outlook to streamline repetitive tasks using low-code RPA tools like UiPath.
Case Studies: Excel & Web automation with UiPath

Module 2: Open banking and Application programming interface (API)

Explore key data transmission formats, including JSON, XML, and SOAP. Understand fundamentals of HTTP requests and the differences between the GET and POST methods. Learn parameter passing techniques with URL encoding vs JSON. Learn different types of APIs, with a focus on REST and GraphQL. Provides insights into the government and quasi-government frameworks such as HKMA's Open API Framework, the HKAB common baseline for TSPs and the HKAB phase III standards. Finally introduce The Science Park Data Studio repository, the APIX Open API Exchange Platform and sandbox arrangements.
Case Studies: FPS, CBDC, eHKD

Module 3: Big data storage and manipulation

Explore the distinction between online transaction processing (OLTP) vs online analytical processing (OLAP) systems. Understand traditional relational databases, the emergence of NoSQL databases and the difference between data lakes, data warehouses, and data marts. Introduce the concept of distributed data storage and processing with Hadoop family, Apache Spark, Databricks and Delta table.
Case Studies: Building Data Pipeline with Big Data

Module 4: Machine learning & AI

Introduce Artificial Intelligence (AI), Machine Learning (ML), and data science and its applications. Learn Supervised Learning (regression vs classification tasks, weight-based vs tree-based algorithms), Unsupervised Learning (dimensionality reduction, clustering, and recommender systems) and Deep Learning (neural network, pretrained models from Hugging Face). Finally learn how to enhance model performance with Feature Engineering and Evaluiation Metrics.
Case Studies: Credit score prediction, propensity modeling for financial products

Module 5: Distributed ledger technology

Explore hash functions and public-private key pair encryption as fundamental building blocks of DLT. Examine blockchain technology, including its structure and components, consensus algorithms such as Proof-of-Work (PoW) vs Proof-of-Stake (PoS). Learn Smart Contracts and Solidity programming for blockchain development, the debate between centralization vs decentralization. Finally highlight DLT applications in the finance industry.
Case studies: Bitcoin, Ethereum, Boring APE NFT Contract

Pricing

The Most Valuable Deal


1. Learning Experience
Pre-program consultation
Onsite lectures
Remote lectures
Lectures materials
5+ assignments
100+ knowledge quiz
Online learning portal
Lifetime access to materials
Certificate by DANGER
Daily campus self-study
2. Enhanced Training with
Discount on top-up to Big Data bootcamp
3. Career Support
1 career planning
1 portfolio project
Lifetime career advice
On-demand job referral
Standard Price *Check out other discount offers availble now.	HK$15,000 Campaign Offer with rebate HK$9,000

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Having concerns? Schedule a consultation

Course Structure

End-to-end support for your career

1. Career Consultation

Not sure how to achieve your career goal? Our career coach with industry experience will listen and advise the best solution during 1-on-1 consultation

2. Lectures

Join our lectures and learn as much as you can from our experienced instructors under each specialised topic

3. Online Learning Portal

Revisit the key concepts learnt in program through our interactive online portal, anytime and anywhere

HKMA Fintech 2025

Expanding the fintech-savvy workforce is one of the key strategy in "Fintech 2025" published by HKMA to drive fintech development in Hong Kong.

Why DANGER

The Most Professional Big Data & AI Academy

Industry Instructors Support

Our curriculum is designed by industry instructors, covering both business, data science and data engineering. We ensure graduates are equipped with the skills demanded by the employers.

Job Hunting Support

At the end of the program, we will work with career coach to help you get your next job, including project presentation, resume workshop, mock interview and career events (e.g. networking, seminars).

Graduates Community Support

Once you graduate, you belong to the DANGER community and have access to our exclusive alumni network including experience sharing, job opportunities and any career events.

Recent Openings

What is your next availability?

No upcoming class schedule, stay tuned!

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Through participating in Danger Education’s courses such as Python Explorer and Python Practitioner, I can learn some basic Python programming knowledge and how to manipulate python libraries to analyse data. The teachers are patient and willing to teach us to solve our problems.

Tony Or - Python Student since Dec 2020

Being someone who have no background in programming and computer science, It's hard to figure out how to make a career switch into data science. Danger education provides the "Zero to Hero" pathway at an affordable rate.

Anthony Leung - Python and SQL Student since Feb 2021

As a HR professional, with growth of HR cloud applications, people analytics are becoming vital for all aspects of operational improvement to drive business goals. With my knowledge of Python instructed by Danger, I am able to analyse people's data moving away from Excel. Courses from Python Explorer, Python Practitioner and Python Machine Learning prepared me with real life examples on how we analyse data from scratch. Instructors are friendly and nice like friends which provide a comfortable environment to learn coding even though I had absolutely no idea on coding. I am happy to have joined the world of Python with Danger Education.

Coco Mak - Python and Machine Learning Alumni since Aug 2020

Jason is a professional instructor who is knowledgeable and patient enough to walk me through the coding process. The course consolidated my mathematical foundation, as well as practical coding fundamentals (like how to use python to call on different functions), which are all deemed to be the stepping stones to become a successful data scientist. I sincerely recommend this course to those who are interested in learning data science.

Cathy Kam - Python and Machine Learning Alumni since Aug 2020

Pretty awesome tutorial, start from the basics concept, broad and expounds the necessary knowledge with a specific framework and sufficient reference content, case studies, and project for students to practice. Suitable for beginners to find directions here.

Ar Chu - Python Student since Jan 2021

Having completed all courses in Danger Education, I become an experienced data analyst. The teachers are so helpful and well prepared. They gave us thorough and comprehensive notes and practice. In addition, they presented so well that even some complicated concepts could be well digested. The machine learning course help me further understand what data scientists’ work. This course is recommended for all people who are just beginners or even junior data analysts/programmers to better gain knowledge of data science.

Charlie Yeung - Python and Machine Learning Alumni since Apr 2020

Danger teaches me the skills in coding, but more importantly, it provides capable tools to discover another side of language. As a researcher in humanities, I had a preliminary understanding of Natural Language Processing through the Machine Learning Explorer course. Now I’m planning to apply my Python skills to my linguistic research.

Max Lee - Python and Machine Learning Alumni since Sep 2019

The series of Data Science courses in Danger Education is well-structured and organized. The trainers are knowledgeable and manage to provide valuable insights of coding skills and data science world in practice. The courseware contents are very rich and can pinpoint the key learning areas of different topics with real life applications. The excellent quality of teaching is of the greatest attraction. Thank you again for offering such a high quality of Data Science journey!

Steven To - Python and Machine Learning Alumni since Oct 2020

This course is well designed to let students understand the basic syntax of Python in 8-week. Lecture materials with weekly hands-on projects are well prepared and developed for practicing. The instructor gave clear explanation and care students’ progress all the way along the lecture, enable us not to get loss during the time. I will highly recommend the course to those who wish to learn about the data analysis tools using Python.