Python Programming for Finance
About This Course
Elevate your financial analysis capabilities with our specialized course on Python Programming for Finance. This comprehensive course delves into the application of Python for various financial tasks including trading algorithms, portfolio management, and risk assessment. Through hands-on exercises and real-world financial case studies, you will learn how to utilize Python's powerful libraries to analyze financial data, forecast trends, and make data-driven decisions.
Upon completing the course, you’ll have a robust skill set in applying Python for financial analysis and strategy development. Whether you're a financial analyst, a portfolio manager, or someone keen on fintech, this course equips you with the computational tools and knowledge to optimize your financial operations and strategies effectively.
What You'll Learn
- apply Python programming to meet business requirements
- code data types and operators.
- organize codes using conditional and loop for problem-solving
- code Python functions and scripts for business use cases
- code import and prepare finance data using Python Pandas package
- test Python codes with aggregation and visualization
- improve and document Python codes to analyse finance data
Course Outline:
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 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 6 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 7 Analyze Finance Data
- Improve codes with pipe and apply
- Applications of statistics
- Analyse finance data to track any changes
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)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.