AI Assisted Python Programming for Finance
About This Course
This comprehensive course on Python Programming for Financial Services is designed from basic to advanced levels, targeting professionals looking to leverage Python for financial data analysis and software development within the finance sector. Participants will start with an introduction to Python programming, understanding its application in meeting business requirements, setting up Python IDEs, and diving deep into Python data types and operators. The course emphasizes practical problem-solving with control structures, scripting with functions and lambda expressions, and effective error handling techniques to manage exceptions.
As the course progresses, learners will gain hands-on experience in importing, processing, aggregating, and visualizing financial data using powerful Python libraries like Pandas. Key topics include object-oriented programming to enhance code efficiency, analyzing finance data with advanced statistical methods, and applying best coding practices for error detection and improvement areas. With a focus on real-world finance applications, this course ensures participants can confidently manage programming activities, document coding processes accurately, and apply systematic approaches to group coding outputs, preparing them for a successful career in the financial services industry..
What You'll Learn
• Gather and interpret business requirements of software through business use cases
• Review and propose overall coding best practices to guide individuals in executing coding
• Review and detect errors and areas for improvement within written codes and communicate accordingly
• Test completed codes to identify gaps and possible improvement areas
• Manage programming and coding activities and monitor outputs
• Group coding outputs using a systematic approach
• Ensure programming and coding documentation is accurate and complete
Topics Covered:
Topic 1 Introduction to Python Programming
• Business requirements and objectives
• Applications of Python programming to meet business requirements
• Install Python and Setup Python IDE
Topic 2: Data Types and Operators
• Data Types
• Operators
Topic 3 Problem Solving with Control Structures
• Problem solving with conditional and loop techniques
• Coding using comprehensions
Topic 4 Scripting with Function and Lambda
• Create Python functions to meet business use cases
• Lambda function and its applications
Topic 5 Error Handling Using Exception
• Exceptions versus Syntax Errors
• Handle Exceptions with Try and Except blocks
• The Else clause
• Clean up with Finally
Topic 6 Import and Process Finance Data
• Data analysis using Pandas package
• DataFrame and Series data structures
• Import finance data
• Filter and slice finance data
• Clean missing data
Topic 7 Aggregate and Visualize Finance Data
• Join finance data with concat, append and merge
• Aggregate data with groupby and pivot table
• Assess codes to identify gaps
• Test and visualize finance data
Topic 8 Object Oriented Programming
• Introduction to Object Oriented Programming
• Create Class and Objects
• Method and Overloading
• Initializer & Destructor
• Inheritance
• Polymorphism
Topic 9 Analyze Finance Data
• Improve codes with pipe and apply
• Applications of statistics
• An
Entry Requirements
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)
Experience
• Minimum of 1 year of working experience.