February 2019
Beginner to intermediate
4h 50m
English
Closed Captioning available in English
Overview
In this 4-hour course, you will explore the utilization of machine learning in building algorithmic trading bots with Python. You'll learn practical techniques for designing trading strategies, backtesting models, and analyzing financial data.
What I will be able to do after this course
- Understand financial terminology and methodology relevant to algorithmic trading.
- Develop machine learning models for tasks such as price prediction and strategy optimization.
- Apply ensemble learning techniques such as Bagging and Boosting to improve model performance.
- Conduct thorough backtesting to evaluate and validate trading strategies.
- Gain experience in Python programming for financial and trading applications.
Course Instructor(s)
Mustafa Qamar-ud-Din is a seasoned instructor and data scientist with expertise in financial systems and algorithmic trading. He has a passion for teaching and excels at breaking down complex concepts into simple, actionable steps. His approachable teaching style is enhanced by years of practical experience in the industry.
Who is it for?
This course is designed for aspiring traders, data scientists, and financial analysts looking to integrate machine learning into trading strategies. Learners should have a basic understanding of Python programming and an interest in applying it to financial analysis and algorithmic trading goals. By the end of this course, you'll be equipped with the skills to pursue a career in this innovative field.
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