Get in Touch

Course Outline

Introduction

Configuring the Development Environment

  • Local vs. online programming: Anaconda and Jupyter

Essentials of Python Programming

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

Expanding Python's Functionality

  • Modules and Packages

Creating Your First Python Application

  • Estimating start and end dates and times

Retrieving External Data with Python

  • Importing, exporting, and handling CSV data
  • Accessing data stored in SQL databases

Structuring Data with Arrays and Vectors in Python

  • NumPy and vectorized functions

Data Visualization with Python

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

Data Analysis with Python

  • Analyzing data using scipy.stats and pandas
  • Importing and exporting financial data (Excel, web data, etc.)

Simulating Asset Price Paths

  • 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 to Production

  • Integrating applications with Excel and other web-based tools

Optimizing Application Performance

  • Performance optimization strategies
  • Parallel Computing and Multiprocessing

Troubleshooting

Conclusion

Requirements

  • Familiarity with financial concepts (e.g., securities, derivatives)
  • General knowledge of probability and statistics
  • Basic understanding of differential and integral calculus
 35 Hours

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories