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Python 101 Financial Analysis
Applying Programming Logic to Solve Financial Problems
Secondary school students in Hong Kong can greatly benefit from learning Python due to its versatility and relevance in today's digital age. Python is not only a powerful programming language but also one of the most widely used languages in various fields such as data science, artificial intelligence, and web development. By learning Python, students can develop essential computational thinking skills, problem-solving abilities, and logical reasoning, which are invaluable in navigating the increasingly technology-driven world.
Moreover, Python's simple and readable syntax makes it an accessible language for beginners, allowing students to quickly grasp programming concepts and build practical applications. Equipping secondary school students with Python proficiency not only prepares them for future academic and career pursuits in STEAM fields but also cultivates a mindset of creativity, innovation, and adaptability that is essential in the ever-evolving landscape of technology and information.
Why Python?
Course Content
Total 8 Lessons, 1.5 hours for each
01
Introduction to Finance & Python Basics
02
Data Types & Variables in Python
03
Financial Data Manipulation with Python
04
Statistical Analysis with Python
Financial Modeling and Visualization
Risk Management & Portfolio Optimization
06
Investment Analysis with Python
07
08
Final Project and Application
05
Expected Outcome:
1. Mastery of Financial Analysis Using Python: Students will develop proficiency in utilizing Python for financial analysis tasks, including data manipulation, statistical analysis, and visualization. They will be able to apply Python programming skills to analyze financial data effectively.
2. Enhanced Problem-Solving Skills: Through hands-on experience with Python programming and financial analysis, students will sharpen their problem-solving abilities and critical thinking skills. They will learn to approach financial problems analytically and develop solutions using Python
3. Application of Python in Finance: Students will be able to apply Python programming skills to analyze financial data, perform calculations, and create financial models
What we Aim?
Course Overview:
The "Finance - Python 101 Financial Analysis" course introduces secondary school students in Hong Kong to basic finance principles and Python programming for financial analysis. By mastering Python, students can manipulate financial data, conduct analyses, and gain valuable skills for future academic and career paths in finance and data analysis.
Office Address:
E2/Room, 11/F, Gee Chang Industrial Building, 108 Lok Shan Road, To Kwa Wan, Kowloon
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