Algorithmic Trading Courses and Certifications

Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

Learn to apply machine learning and quantitative strategies to algorithmic trading with Python.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Python and Statistics for Financial Analysis

678 ratings

Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

• Best of All Time

Machine Learning for Forex and Stock Analysis and Algorithmic Trading

1 rating

Use machine learning and pattern recognition to analyze stock and forex data, generate predictions, and prepare a backtest for automated trading.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Big Data Analytics and Algorithmic Stock Trading - Backtesting

Build Python-based stock and forex charts with technical indicators, live price updates, and a backtesting workflow.

• YouTube
• 6 hours
• Self-Paced
• Free Video

WorldQuant Career Certificate

AI for Trading

542 ratings at Udacity

Build, backtest, and optimize machine-learning trading strategies using real financial data, including reinforcement learning and momentum-based approaches.

• Udacity
• 97 hours
• Self-Paced
• Paid Course

Financial Trading in Python

296 ratings at DataCamp

Are you fascinated by the financial markets and interested in financial trading?

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Financial Trading in R

78 ratings at DataCamp

This course will cover the basics on financial trading and will give you an overview of how to use quantstrat to build signal-based trading strategies in R.

• DataCamp
• 5 hours
• Self-Paced
• Free Trial Available

Career Certificate

AI Trading Strategies

8 ratings at Udacity

Build, backtest, and optimize AI-driven trading strategies using machine learning, real financial data, and Python.

• Udacity
• 96 hours
• Self-Paced
• Paid Course

Building a Workflow for AI

1 rating at Udacity

Build and backtest AI trading models with real financial data using unsupervised, supervised, and reinforcement learning techniques.

• Udacity
• 13 hours
• Self-Paced
• Paid Course

Reinforcement Learning

Build, train, backtest, and optimize a Q-learning trading strategy with Python, using market indicators and financial state and action spaces.

• Udacity
• 23 hours
• Self-Paced
• Paid Course

Google Cloud;  New York Institute of Finance Career Certificate

Machine Learning for Trading

1188 ratings at Coursera

Build machine learning trading strategies in Python: apply supervised models to markets and deploy serverless deep learning and reinforcement learning models that retrain themselves on Google Cloud.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Trading Algorithms

1100 ratings at Coursera

Implement two research-backed equity strategies — Piotroski F-Score and post-earnings announcement drift — and learn to read academic papers for tradable ideas in emerging markets.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

New York Institute of Finance;  Google Cloud

Using Machine Learning in Trading and Finance

379 ratings at Coursera

Build machine learning trading strategies: design quantitative systems, train neural networks with TensorFlow 2 and Keras, and back test pairs trading and momentum models.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Cryptocurrency Trading Bot with a User Interface in Python

1539 ratings at Udemy

Automate Your Crypto Trading Strategies on Binance & Bitmex with Python and Create Your Own Trading Dashboard (GUI)

• Udemy
• 10 hours 4 minutes
• Self-Paced
• Paid Course

AlgoTrading101- Black Algo Trading: Build Your Trading Robot

2709 ratings at Udemy

Trading Robots: The Comprehensive Course That Turns Beginners Into Skilled Algorithmic Traders (Learn MQL4 Algo Trading)

• Udemy
• 15 hours 49 minutes
• Self-Paced
• Paid Course