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 Duration 35 hours

Course Outline

Introduction

Configuring the Development Environment

  • Comparing local versus online programming environments: Anaconda and Jupyter

Core Python Programming Concepts

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

Enhancing Python Functionality

  • Working with Modules and Packages

Building Your First Python Application

  • Calculating initial and final dates and times

Retrieving External Data with Python

  • Handling data import/export and reading/writing CSV files
  • Connecting to and querying SQL databases

Structuring Data with Arrays and Vectors

  • Utilizing NumPy and vectorized operations

Data Visualization Techniques

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

Data Analysis Workflows

  • Conducting statistical analysis with 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 Strategy

  • Executing capital allocation, asset distribution, and risk evaluation

Risk Assessment and Performance Tracking

  • Formulating and resolving portfolio optimization challenges

Fixed-Income and Derivative Valuation

  • Performing analysis on fixed-income securities and pricing options

Financial Time Series Examination

  • Interpreting time series data within financial markets

Deploying Python Applications to Production

  • Integrating applications with Excel and other web-based tools

Enhancing Application Performance

  • Optimizing application efficiency
  • Leveraging Parallel Computing and Multiprocessing

Debugging and Troubleshooting

Conclusion

Requirements

  • Foundational knowledge of finance, including securities and derivatives
  • Basic understanding of probability theory and statistics
  • Elementary proficiency in differential and integral calculus

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

2026-11-30 09:30
35 hours
Buenos Aires - Libertador
13612 USD (Online)
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Python Programming for Finance

2026-12-14 09:30
35 hours
Còrdoba - Ecipsa Tower
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Python Programming for Finance

2026-12-28 09:30
35 hours
Puerto Madero - Torre Colonos Sur
13612 USD (Online)
16112 USD (Classroom)

Python Programming for Finance

2027-01-11 09:30
35 hours
Buenos Aires - Laminar Catalinas
13612 USD (Online)
16112 USD (Classroom)

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