Python for Finance

Welcome to the "Python For Finance" Free Course, designed for anyone who wishes to learn Python for use in the financial sector and more broadly in data analysis. Whether you are a student, a finance professional, or simply passionate about the field, this training will enable you to master the basics of Python and apply it to real-world scenarios in the financial sector.


We are thrilled to announce that this "Python for Finance" course is offered entirely free of charge by Crypto Robot in collaboration with Robot Traders (! Our goal is to make learning the Python language and its application in the financial domain accessible to everyone. The best way to support us is to follow us on our various social media platforms, and most importantly, share this course with as many people as possible!

Table of Contents

  • 0 - Python and VsCode Installation: Learn how to install Python and Visual Studio Code, a versatile and powerful code editor, to start your journey in learning the Python language.
  • 1 - Variables, Operations, and Types: Get acquainted with variables, mathematical operations, and different data types in Python.
  • 2 - Loops and Conditions in Python: Discover how to use control structures such as loops and conditions to perform repetitive or conditional tasks.
  • 3 - Lists and Dictionaries in Python: Learn to handle lists and dictionaries to store and organize your data efficiently.
  • 4 - Functions and Classes in Python: Discover how to create and use functions and classes to structure your code and facilitate reuse.
  • 5 - The Pandas Library, the best library for financial data: Learn to use Pandas, a powerful library for data manipulation and analysis, especially suited for working with financial data.
  • 6 - Visualizing Data in Python with Matplotlib: Discover how to create charts and interactive visualizations of your financial data using the Matplotlib library.
  • 7 - Unlocking the Power of Pandas and Avoiding Loops: Learn to get the most out of Pandas by avoiding loops and using advanced techniques to manipulate and analyze your data.
  • 8 - Mastering Date Usage in Python: Discover how to manage and manipulate dates and times in Python, a crucial aspect when working with financial data.
  • 9 - Backtesting an Automated Trading Strategy in Python: Learn to develop and evaluate automated trading strategies using Python.
  • 10 - Analyzing the Backtest of a Trading Portfolio in Python with Pandas: Discover how to analyze the performance of your trading portfolio using Pandas to draw conclusions and optimize your strategies.

It is important to emphasize that the best way to progress in Python is not just by watching videos and reading documents, but by actively engaging in practice. We encourage you to work on personal projects, even on a small scale, to apply and reinforce the skills you've acquired throughout this training.