Applied Data Science for Finance

Learn Python for finance, build real projects with Pyfolio, Riskfolio, YFinance and preprocess financial data

What you’ll learn
Use Python to preprocess financial data and prepare it for analysis.
Build hands-on projects using libraries like Pyfolio and Riskfolio-lib.
Apply data science workflows to finance problems such as risk and return.
Understand core financial concepts and connect them with working code.

Requirements
No prior finance or programming experience is required. You’ll learn everything step by step. Just bring a computer and a steady internet connection.

Description
This course is designed for people who want to understand how finance and data science come together in practice — without getting lost in theory or endless formulas. You’ll start with Python, covering everything from basic syntax to functions, data structures, and file handling. Then you’ll move into data preprocessing — how to clean financial data, handle missing values, remove outliers, and prepare data for analysis.After that, the course focuses on applied tools used in finance: Pyfolio, MPLFinance, Riskfolio-lib, and others. You’ll use real financial data to build models for portfolio analysis, risk management, and return calculation. No abstract toy datasets — we work with real stock data, fund performance, and economic indicators.You don’t need a background in finance or computer science. The course starts from the beginning and explains every step in a clear and structured way. And if you already know Python, you can skip ahead to the finance and project sections.Later updates will include R, MATLAB, and Julia implementations for some of the key projects. This makes the course useful not just for learners, but also for professionals looking to compare tools.By the end of the course, you’ll have a working understanding of how to use code in financial workflows — and a set of notebooks you can actually use.

Who this course is for
This course is for finance students, developers, analysts, or anyone curious about using code in financial workflows. It’s beginner-friendly and project-based.