Intro to Python Programming May registration closes on June 10, 2022

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Python and Finance

Class description

This is an instructor-led course to introduce you to the Python programming language. Python is one of the most popular programming languages used in industries ranging from gaming to finance. Python is an interpreted, object-oriented high-level programming language, which has recently become a popular tool in industry and in academia.


Python is free to use, easy to install and learn and its open source. In this course, you will learn to create programs, functions, complex data structures and to collect user input with Python. Furthermore, you will learn to read and write from external sources such as files and databases By learning these concepts, students will have a starting point to learn a few of the many ways that Python is utilized from basic reporting to complex machine learning solutions and much more.

Uses of the Python and finance

  • The Python programming language is used by business analysts, software developers to analyze data and to create captivating yet insightful data visualizations
  • The Python programming language can be used for developing both desktop, web and mobile applications.
  • Python can be used for creating Windows, UNIX and Mac applications, from simple console and web-based to
  • elaborate graphic interfaces for video games.
  • Also, you can use Python for developing complex scientific and numeric applications for Machine Learning, Robotics and Finance


Course objectives

  • Introduce students to the basics of Python.
  • Provide students with the hands-on Python programming building block skills needed to develop applications
  • Create working Python scripts following best practices
  • Lean to use Python with financial data


Course Format

This course is a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions,

labs, and project work including a capstone assignment.

Class Syllabus

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Class Syllabus

Module 1 - Introduction to Python Crash Course

  • System set up
  • Data Structures, Numbers, Strings and Loops
  • Input / Output Operations
  • Algorithms and conditional functions
  • Data Analysis  Modules (Numpy, Pandas)
  • Pandas Dataframes and Series
  • Pandas Operations

Module 2 - Intro to Financial Concepts and Python

  • Importing and managing financial data in Python
  • Data Visualization with stock data
  • Simple Moving averages
  • Timeseries and Financial forecasting
  • Correlation Analysis and Regression Analysis
  • Accessing financial ratios with Python (Ex. Sharpe Ratio)
  • Calculating returns

Module 3 - Applied Finance with Python

  • Portfolio Modelling & Allocation with Python
  • Algorithmic Trading Strategies with Python
  • Backtesting a trading strategy
  • Intro to Risk Analysis with Python
  • Introduction to Machine Learning
  • Forecasting Time series data using machine learning

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