February 2019
Intermediate
5h 25m
English
Closed Captioning available in English
Overview
In this engaging 5-hour course, you'll learn how to leverage Python's powerful tools and libraries to perform financial quantitative analysis and modeling. You'll explore essential topics such as Time Series evaluation, Monte Carlo simulations, linear regression, and portfolio construction to gain practical skills for financial tasks.
What I will be able to do after this course
- Master the usage of Python libraries like NumPy, Pandas, and Matplotlib for data visualization and analysis.
- Learn time series evaluation techniques and apply forecasting and linear regression to financial datasets.
- Understand the principles of portfolio construction, correlation, and their applications in finance.
- Gain the ability to perform Monte Carlo simulations for portfolio value projection and risk assessment.
- Apply sophisticated quantitative finance techniques like Value at Risk (VaR) and options valuation in Python.
Course Instructor(s)
Matthew Macarty is a seasoned finance professional and Python instructor with extensive experience in quantitative analysis and software development. He has taught numerous courses on Python for finance, blending his knowledge of coding with keen financial insights. His teaching focuses on delivering clear, hands-on instruction to help learners apply their skills effectively.
Who is it for?
This course is perfect for developers and analysts who have familiarity with programming and aim to enhance their financial modeling techniques using Python. It addresses needs of individuals seeking to transition from spreadsheet-based to Python-based financial analysis. Learners with basic programming skills who wish to automate and enhance their financial operations will also benefit substantially from this course.
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