Data Science for Trading
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Algorithmic Trading

Real world Quantitative Trading with Python - Momentum and Mean Reversion models - Jupyter Notebooks included. In the algorithmic trading course you will learn how to build momentum, mean reversion and factor models. This course is different from other algorithmic trading courses where you only learn to code some basic technical indicators such as MACD or Bollinger Bands. Here you will learn succesful real world trading models.

Curso de trading básico

En este curso tendrás una introducción a los diferentes mercados en los que puedes invertir o hacer trading. Muchas personas piensan que únicamente se puede operar en el mercado de acciones, pero la realidad es que existen muchos otros mercados como por ejemplo el mercado de bonos, el mercado de monedas o el mercado de materias primas.

Trading de opciones

Empezamos con definiciones básicas y aprendemos los perfiles de pagos de CALLs y PUTs individuales y de spreads como los Collars, las Gaviotas, los Strangles, etc

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Introductory Data Science

for Investing and Trading

Data Science for Investing and Trading


Free APIs and powerful visualizations using python – Jupyter Notebooks included


What you’ll learn

1.  Download data from APIs that have public information such as Yahoo Finance, Federal Reserve FRED,SEC Edgar, OECD, FDIC, The World Bank, etc
2. Visualize the information in powerful and impacful charts.
3. Perform basic analytic calculations such as mean and median return, volatility, correlation, maximum drawdown, etc.
4. Put all the information together to be able to analyze how a stock or any financial asset has performed in the past and give a view about it.


  • Basic python knowledge like installing the program and its main libraries.
  • Basic financial concepts like what is a stock.


This Introductory Data Science for Investing and Trading course is designed to teach you 3 main things using python:

1) Download data from public APIs such as Yahoo Finance, The World Bank, EUROSTAT, SEC Edgar, FINRA, etc.

2) Perfom some basic analytics using python, like calculating mean and median returns, volatility, correlation or maximum drawdown. Along the way you will learn basic commands for pandas, numpy and other libraries.

3) Make powerful and nice visualization for your data and calculations using libraries such as Matplotlib, Plotly or Seaborn.

We have organized the course in those 3 main topics. In each of them you will have complementary exercises that will help you better understand the concepts. For each lecture we provide a jupyter notebook, so you can reproduce the examples in your computer as well.

If you are a financial analyst this course will help you a lot, since you will leverage your financial skills with useful python scripts. This course can also help traders, portfolio managers, financial advisors and other financial professionals who want to increase their productivity, process data better and make more impactful presentations using powerful charts.

You just need very basic python knowledge. If you know how to install python and its basic libraries you can follow this course. So, don’t hesitate to jump in and start learning with us.

Who this course is for:

  • Financial analyst who want to learn useful python applications.
  • Financial advisor who wish to better comunicate with their customers showing powerful visualizations.
  • Independent traders and portfolio managers who would like to know how to download information from public APIs for free.

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