Learn the cutting-edge in NLP with transformer models and how to apply them to the world of algorithmic trading
What you'll learn
- Algorithmic trading
- Python
- Machine learning
- Programming
- Finance
- Trading
- Keras
- Natural Language Processing
- Machine Learning
- TensorFlow
- Twitter API
- Sentiment Analysis
Requirements
- Quantitative Background is a plus.
- Experience with Python is a plus.
Description
Hi there, we are James and Sajid. Both of us are working as a data scientist for various banks here in London, and we have both gone a long way before arriving at our current position in the market.
Do you wish to become a data scientist and build yourself a strong portfolio? This course will allow you to develop your Python skills tutored by professionals. You will be able to add Natural Language Processing and Deep Learning to your CV and start getting paid for your skills.
In this course, you will learn how to apply the newest methods in machine learning and natural language processing to predictive analysis of the stock market and cryptocurrency.
Use the latest technologies available such as TensorFlow, PlotLy, HuggingFace's Transformers, Flair, and many of the essential classics like Pandas, RegEx, Numpy, and more!
We will cover:
- TensorFlow
- Sentiment Analysis
- Transformers (including Google AI's BERT)
- APIs
- Trading for cryptocurrencies
- The Twitter API
Take this course if you are learning Python and/or Machine Learning and looking to apply these skills to the stock market. We can't promise to 'fix' on the stock market, but we can promise that you will learn many priceless skills that when applied correctly, can translate to a real benefit both in the job market, and the stock market.
The course is taught by two data scientists from the finance sector. Sajid of Trading 707, who works in Banking and Capital Markets. And James of Aurelio, who specializes in Natural Language Processing (NLP).
Who this course is for:
- Beginner Python developer
- Data scientist
- Finance and Computer Science student
