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 Duration 35 hours

Course Outline

Introduction

Establishing the Development Environment

  • Local vs. online programming: Anaconda and Jupyter

Python Programming Fundamentals

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

Enhancing Python's Capabilities

  • Modules and Packages

Your First Python Application

  • Estimating beginning and ending dates and times

Accessing External Data with Python

  • Importing and exporting, reading, and writing CSV data
  • Interacting with data in an SQL database

Organizing Data Using Arrays and Vectors in Python

  • NumPy and vectorized functions

Visualizing Data with Python

  • Matplotlib for 2D and 3D plotting, pyplot, and SciPy

Analyzing Data with Python

  • Data analysis using scipy.stats and pandas
  • Importing and exporting financial data (Excel, website data, etc.)

Simulating Asset Price Trajectories

  • Monte Carlo simulation

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset allocation, and risk assessment

Risk Analysis and Investment Performance

  • Formulating and solving portfolio optimization problems

Fixed-Income Analysis and Option Pricing

  • Conducting fixed-income analysis and option pricing

Financial Time Series Analysis

  • Analyzing time series data within financial markets

Deploying Your Python Application into Production

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

Application Performance

  • Optimizing application performance
  • Parallel Computing and Multiprocessing

Troubleshooting

Closing Remarks

Requirements

  • A solid understanding of finance concepts (including securities, derivatives, etc.)
  • A general grasp of probability and statistics
  • Basic knowledge of 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

2026-11-10 09:30
35 hours
Mirobod
56,493,766 UZS (Online)
61,493,766 UZS (Classroom)

Python Programming for Finance

2026-11-24 09:30
35 hours
Mirobod
56,493,766 UZS (Online)
61,493,766 UZS (Classroom)

Python Programming for Finance

2026-12-08 09:30
35 hours
Mirobod
56,493,766 UZS (Online)
61,493,766 UZS (Classroom)

Python Programming for Finance

2026-12-22 09:30
35 hours
Mirobod
56,493,766 UZS (Online)
61,493,766 UZS (Classroom)

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