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Course Outline

Introduction

Establishing the Development Environment

  • Local programming vs online environments: Utilising Anaconda and Jupyter

Essentials of Python Programming

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

Expanding Python's Functionality

  • Working with Modules and Packages

Developing Your First Python Application

  • Calculating and estimating initial and final dates and times

Retrieving External Data via Python

  • Managing imports, exports, and the reading and writing of CSV data
  • Interacting with data stored in SQL databases

Structuring Data with Arrays and Vectors in Python

  • Utilising NumPy and vectorised functions

Data Visualisation with Python

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

Analysing Data with Python

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

Simulating Asset Price Movements

  • Implementing Monte Carlo simulations

Asset Allocation and Portfolio Optimisation

  • Executing capital allocation, asset distribution, and risk assessments

Risk Analysis and Investment Performance Metrics

  • Formulating and resolving portfolio optimisation challenges

Fixed-Income Analysis and Option Pricing

  • Conducting fixed-income evaluations and pricing options

Financial Time Series Analysis

  • Evaluating time-series data within financial markets

Deploying Your Python Application to Production

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

Application Performance

  • Optimising application efficiency
  • Leveraging Parallel Computing and Multiprocessing

Debugging and Troubleshooting

Conclusion

Requirements

  • A foundational knowledge of finance, including an understanding of securities and derivatives
  • A general grasp of probability and statistical concepts
  • Basic proficiency in 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

Provisional Upcoming Courses (Require 5+ participants)

Python Programming for Finance

2026-10-12 09:30
35 hours
Melbourne 385 Bourke Street
11750 AUD (Online)
28250 AUD (Classroom)

Python Programming for Finance

2026-10-26 09:30
35 hours
Cliftons Perth
11750 AUD (Online)
29750 AUD (Classroom)

Python Programming for Finance

2026-11-09 09:30
35 hours
Sydney King Street
11750 AUD (Online)
28250 AUD (Classroom)

Python Programming for Finance

2026-11-23 09:30
35 hours
London Circuit
11750 AUD (Online)
28250 AUD (Classroom)

Python Programming for Finance

2026-12-07 09:30
35 hours
200 Mary Street, Brisbane
11750 AUD (Online)
28250 AUD (Classroom)

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