Chartered Fintech Professional (CFtP) Level 1B Training Module 1: Data Structure, Algorithms, and Programming in Python (Synchronous E-Learning)
About This Course
At the end of the 2-day module, participants will be able to:
• Understand Python's main features and the reasons why it is widely used
• Understand the role of algorithms in data analysis to solve problems sequentially given a set of data
• Learn about the data types, data structure, related types, definitions, and functions
• Understand the meaning of each kind of operator and be capable of performing basic calculations using these operators
• Differentiate the basic structure of while and for loop
• Explore the foundation of algorithms such as categories, characteristics, and applications
• Understand the manipulation and operation of different data types like array, list, stack
• Know the basic definitions of searching and sorting algorithm
What You'll Learn
• Working with large datasets - the financial industry generates a lot of data, and Fintech professionals need to be able to store, manipulate, and analyse this data efficiently. Data structures provide a way to store data in a way that is efficient and easy to access. Python is a powerful programming language that is well-suited for working with data structures.
• Developing trading algorithms - trading algorithms are used to automate trading decisions. These algorithms are typically written in Python, and they require a good understanding of data structures and algorithms.
• Building financial applications - Fintech professionals often need to build financial applications, such as trading platforms, risk management tools, and customer relationship management (CRM) systems. Python is a popular language for building these applications, as it is easy to learn and use, and it has a large library of financial libraries.
There are 2 sections to this module: Data structure and Algorithms and Python programming. The first section introduces the basic types of data structure like array, list, etc. and some basic algorithm like sorting algorithm, searching algorithm. The second section will introduce participants to the Python programming language. They will learn the basics of Python syntax, data types, operators, control structures, functions, and modules. Participants will also learn about the need for data structures and algorithms, and how they can be used to solve problems.
Entry Requirements
No prerequisites, but participants are strongly encouraged to go through the assigned pre-reading materials and videos, especially if one does not have any prior learning or working knowledge in the subject matter of this Module.
If the participant intends to register for the Chartered Fintech Professional examination following the completion of this training course, do note that an undergraduate degree from a recognised university or equivalent professional qualification is a compulsory enrolment requirement.