Data science is becoming increasingly important in investing and trading. With vast amounts of market data available, data science techniques like machine learning can help investors analyze data to gain valuable insights and make better investment decisions. This article will provide an introduction to how beginners can start using data science in investing for free.
Learn basic data science and Python coding skills
To effectively use data science in investing, you need to start by learning some basic data science skills like Python coding, statistics, modeling, etc. Many free online courses are available for this.
Find free datasets to practice on
Many websites provide free financial datasets for practice. Kaggle, Quandl, Google Finance, Yahoo Finance are some good sources. Practice basic data analysis on these datasets.
Learn from open source algorithmic trading frameworks
Check out open source algorithmic trading frameworks like Zipline and Backtrader. Review their example codes to see how data science is applied in trading strategies.
By learning basic data science skills, finding datasets to practice on, and studying open source trading frameworks, beginners can start exploring data science in investing for free.