Python Programming for Finance Training Course

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

Audience

Developers
Analysts
Quants

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.

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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

Requirements

An understanding of finance (securities, derivatives, etc.)
A general understanding of probability and statistics
Elementary differential and integral calculus

35 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

Pre-course call with your trainer
Customisation of the learning experience to achieve your goals -

Bespoke outlines
Practical hands-on exercises containing data / scenarios recognisable to the learners

Training scheduled on a date of your choice
Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €11400 online delivery, based on a group of 2 delegates, €3600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Public Training

Please see our public courses

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Testimonials (4)

The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)

Matthieu - CS Group

Course - Scaling Data Analysis with Python and Dask

Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)

Monika - Procter & Gamble Polska Sp. z o.o.

Course - Developing APIs with Python and FastAPI

It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course