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Course Outline

Introduction

Configuring the Development Environment

  • Local vs. online programming environments: Anaconda and Jupyter

Python Programming Fundamentals

  • Exploring control structures, data types, functions, data structures, and operators

Extending Python's Capabilities

  • Understanding modules and packages

Building Your First Python Application

  • Calculating initial and terminal dates and times

Accessing External Data with Python

  • Importing, exporting, reading, and writing CSV data
  • Retrieving data from SQL databases

Organizing Data Using Arrays and Vectors in Python

  • Leveraging NumPy and vectorized operations

Visualizing Data with Python

  • Creating 2D and 3D plots using Matplotlib, pyplot, and SciPy

Analyzing Data with Python

  • Conducting data analysis with scipy.stats and pandas
  • Importing and exporting financial data from sources such as Excel and websites

Simulating Asset Price Trajectories

  • Applying Monte Carlo simulation techniques

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset distribution, and risk evaluation

Risk Analysis and Investment Performance

  • Formulating and resolving portfolio optimization challenges

Fixed-Income Analysis and Option Pricing

  • Performing comprehensive fixed-income analysis and option valuation

Financial Time Series Analysis

  • Evaluating time-series data within financial markets

Deploying Your Python Application into Production

  • Integrating applications with Excel and other web-based tools

Application Performance

  • Enhancing application efficiency
  • Implementing parallel computing and multiprocessing

Troubleshooting

Closing Remarks

Requirements

  • A solid foundation in finance concepts, including securities and derivatives
  • General proficiency in probability and statistics
  • Basic knowledge of differential and integral calculus
 35 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

How to manage business financials

surprise mtileni - Hatima Holdings (Pty) ltd
Course - Learning Xero

Good communication, open for discussion, kept it interesting and engaging

Ahmet Keyman - Keytrade AG
Course - Management Accounting and Finance for Non-Finance Professionals

Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.

Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python

Upcoming Courses

Python Programming for Finance

2026-10-19 09:30
35 hours
Taipei- Concord
58500 NT$ (Online)
58500 NT$ (Classroom)

Python Programming for Finance

2026-11-02 09:30
35 hours
Taipei Walsin Xinyi
58500 NT$ (Online)
58500 NT$ (Classroom)

Python Programming for Finance

2026-11-16 09:30
35 hours
Taichung, Global
58500 NT$ (Online)
373500 NT$ (Classroom)

Python Programming for Finance

2026-11-30 09:30
35 hours
The Hsinchu Wishun centre
58500 NT$ (Online)
58500 NT$ (Classroom)

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