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Course Outline

Introduction

Configuring the Development Environment

  • Local vs. online programming: Utilizing Anaconda and Jupyter

Essentials of Python Programming

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

Enhancing Python's Functionality

  • Working with Modules and Packages

Developing Your First Python Application

  • Calculating start and end dates and times

Retrieving External Data via Python

  • Importing/exporting and reading/writing CSV data
  • Interacting with data stored in SQL databases

Structuring Data with Arrays and Vectors in Python

  • Leveraging NumPy and vectorized operations

Data Visualization with Python

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

Data Analysis with Python

  • Conducting data analysis using scipy.stats and pandas
  • Importing and exporting financial data from Excel, websites, and other sources

Simulating Asset Price Movements

  • Implementing Monte Carlo simulations

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset allocation, and risk assessment

Risk Analysis and Investment Performance

  • Formulating and resolving portfolio optimization problems

Fixed-Income Analysis and Option Pricing

  • Conducting fixed-income analysis and pricing options

Financial Time Series Analysis

  • Examining time series data within financial markets

Deploying Your Python Application

  • Integrating your application with Excel and other web-based platforms

Optimizing Application Performance

  • Refining application efficiency
  • Utilizing Parallel Computing and Multiprocessing

Problem Solving and Troubleshooting

Conclusion

Requirements

  • Familiarity with financial concepts, such as securities and derivatives
  • A basic grasp of probability and statistics
  • Foundational 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

2026-10-27 09:30
35 hours
Bayan Lepas, iDEAL
37743 MYR (Online)
38968 MYR (Classroom)

Python Programming for Finance

2026-11-10 09:30
35 hours
Kuala Lumpur KL Sentral
37743 MYR (Online)
39368 MYR (Classroom)

Python Programming for Finance

2026-11-24 09:30
35 hours
Bayan Lepas, iDEAL
37743 MYR (Online)
38968 MYR (Classroom)

Python Programming for Finance

2026-12-08 09:30
35 hours
Kuala Lumpur KL Sentral
37743 MYR (Online)
39368 MYR (Classroom)

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