This course is for anyone interested in using data analytics and machine learning to work with financial data and make investments/trading decisions. The objective of the course is to provide an overview of how we can use data science to analyze financial performance, and how to construct a strategy based on the conclusion of our analysis.

DISCLAIMER: There will be no investment/financial advice given in this course. Every suggestion made in this course by the instructor or the materials will be based entirely on personal experience and preference. The instructor is not a certified financial advisor nor a professional quantitative trader.

Participants will get a brief introduction to performing financial analysis using Python, and also methods to construct an investing/trading strategy.

• Intermediate Python Knowledge
• Intermediate knowledge of data processing using pandas
• Basic to intermediate knowledge of finance, exposure to common terms used around investments and trading

• A high-level introduction to financial concepts used in trading
• Introduction to financial analysis
• Working with financial data
• Fundamental and Technical analysis
• Introduction to Implementation of machine learning for finance
• Building and testing trading strategies
• Performance evaluation
• Overview of practical algorithmic trading
• Live demo on deploying trading algorithms