Python Programming for Finance Training Course

Saigon Tower, 29 Lê Duẩn, Bến Nghé, District 1, Ho Chi Minh City, Vietnam

Description

Overview

Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

  • Understand the fundamentals of the Python programming language
  • Download, install and maintain the best development tools for creating financial applications in Python
  • Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
  • Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
  • Troubleshoot, integrate, deploy, and optimize a Python application

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

Course Details :

Course Code : pythonfinance
Duration: 35 hours (usually 5 days including breaks)
Workday courses take place between 09:30 and 16:30
Requirements
– An understanding of finance (securities, derivatives, etc.)
– A general understanding of probability and statistics
– Elementary differential and integral calculus
Audience
– Developers
– Analysts
– Quants
Fees : 599347193 VND(Price per participant)
Venue : Ho Chi Minh City, Saigon Tower, Vietnam

Course Outline

Introduction

Setting up the Development Environment

  • Programming locally vs online: Anaconda and Jupyter

Python Programming Fundamentals

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

Extending 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
  • Accessing 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 with 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

  • Performing capital allocation, asset allocation, and risk assessment

Risk Analysis and Investment Performance

  • Defining and solving portfolio optimization problems

Fixed-Income Analysis and Option Pricing

  • Performing fixed-income analysis and option pricing

Financial Time Series Analysis

  • Analyzing time series data in financial markets

Taking Your Python Application into Production

  • Integrating your application with Excel and other web applications

Application Performance

  • Optimizing your application
  • Parallel Computing and Multiprocessing

Troubleshooting

Closing Remarks

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