Welcome to "Python Basics for Finance" course! In the rapidly evolving landscape of financial markets, Python has emerged as a powerful tool for professionals seeking to analyse data, build financial models, and automate tasks. This course is designed to equip you with the fundamental knowledge of Python programming, tailored specifically for applications in the finance industry. Whether you are a finance professional looking to enhance your analytical skills or a student aspiring to enter the world of finance, this course will provide you with a solid foundation in Python programming, enabling you to navigate financial data, conduct quantitative analysis, and develop practical solutions for real-world financial challenges.

There are 8 Sessions in this interactive Jupyter notebook based course. These Sessions are spread over a span of 4 weeks. Each Session will have a duration of 1.5 hrs and a total of 30 hours commitment is expected for the entire course.

This Guided Course contains hands-on Sessions in Python to teach you how to apply Python in Financial Modeling. By the end of this course, you'll have the knowledge to confidently use Python in your next Financial Modeling based project. Some of these models are covered in the Week 4 which are based on Options Pricing and Risk Measurement.

Get ready to embark on a journey that combines the robustness of Python with the intricacies of finance, empowering you to leverage programming as a valuable asset in your financial toolkit.