Udemy course Data science for algorithmic trading by Data World
Data science for algorithmic trading is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Finance & Accounting category. Therefore, if you are looking to improve your Finance & Accounting skills we recommend that you download Data science for algorithmic trading udemy course.
Here you can see Udemy courses linked to: Finance & Accounting.
Course data:
- Author: Data World
- Course rating: 3.5
- Category: Finance & Accounting
- Modality: Online
- Status: Available
- Idiom: English
Abouth Data World
Passionné de datascience et de finance j’étudie ses deux disciplines de manière très régulière. Autodidacte, j’ai appris grâce à des livres et à des formations. Cependant, le chemin était parfois semé d’embuches c’est pourquoi je veux à présent vous transmettre mes connaissances afin de pouvoir vous aider au mieux dans vôtre cursus d’apprentissage. J’ai à mon actif une cinquantaine de projet dont plus de trente dans le trading et je suis le fondateur du site Data-World.
What the udemy Data science for algorithmic trading course teaches?
What you’ll learn Use numpy to do scientific calculation Use pandas to import and organize data Use Matplotlib to visualize data Use, create, understand mathematical model Machine learning for algorithmic trading Features Engineering Statistics for finance Create an easy-to-reuse backtesting universe Automatically take sales and buy positions Data import with a API
We will create an algorithmic trading strategy that earns 50% annually.
More information about the course Data science for algorithmic trading
It is with pride that I offer this data science course for algorithmic trading. It is the fruit of several years of work in the field to truly understand all the subtleties of the world of quantitative finance. Using libraries will allow you to do complex mathematical calculations applied to finance in just a few lines of code . We will see how to create an algorithm for trading from data import to automatic positions. You will create an algorithm that will yield more than 50% annually on the Nasdaq 100 using an algorithm. In summary, we will study: The numpy library to do scientific calculations The pandas library organize and visualize data The Matplotlib library to make powerful graphics Features engineering Linear regression for finance Machine vector support Decision tree Random Forest Apply and understand the Sharpe ratio Apply and understand the Sortino ratio Understanding the volatility of a stock market asset Understand and create a backtesting universe that is easy to use Backtest the strategy using the most know metrics in trading How to choose the best features for Machine Learning models The basics in python language to follow the course and to do your own projects after the course. The basics in python language to follow the course and to do your own projects after the course.
