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Course Outline

Introduction

Configuring the Development Environment

  • Local programming versus online environments: Anaconda and Jupyter

Core Python Programming Concepts

  • Control flow, data types, functions, data structures, and operators

Enhancing Python Functionality

  • Working with Modules and Packages

Developing Your Initial Python Application

  • Calculating initial and terminal dates and times

Retrieving External Data with Python

  • Data import/export processes, including reading and writing CSV files
  • Connecting to and querying data within SQL databases

Structuring Data with Arrays and Vectors in Python

  • Utilizing NumPy and vectorized operations

Data Visualization Techniques in Python

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

Data Analysis with Python

  • Performing statistical analysis using scipy.stats and pandas
  • Handling financial data imports and exports (Excel, web sources, etc.)

Simulation of Asset Price Movements

  • Applying Monte Carlo simulations

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset distribution, and risk evaluation

Risk Assessment and Investment Performance Evaluation

  • Formulating and resolving portfolio optimization tasks

Fixed-Income Evaluation and Option Valuation

  • Conducting fixed-income analysis and pricing options

Financial Time Series Examination

  • Processing time-series data within financial markets

Deploying Your Python Application to Production

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

Application Optimization

  • Performance tuning of your application
  • Leveraging Parallel Computing and Multiprocessing

Debugging and Troubleshooting

Conclusion

Requirements

  • A solid grasp of financial concepts (including securities and derivatives)
  • A foundational knowledge of probability and statistics
  • Basics 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

Upcoming Courses

Python Programming for Finance

2026-10-20 09:30
35 hours
Central Point Varna
1620 EUR (Online)
2620 EUR (Classroom)

Python Programming for Finance

2026-11-03 09:30
35 hours
Business Center Plovdiv
1620 EUR (Online)
5870 EUR (Classroom)

Python Programming for Finance

2026-11-17 09:30
35 hours
Crystal Business Center
1620 EUR (Online)
2620 EUR (Classroom)

Python Programming for Finance

2026-12-01 09:30
35 hours
Central Point Varna
1620 EUR (Online)
2620 EUR (Classroom)

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