- Jupyter
- Investment Management
- Portfolio Management
- Simulations
- Risk Analysis
- NumPy
- Programming Principles
- Data Manipulation
- Pandas (Python Package)
- Time Series Analysis and Forecasting
- Statistical Analysis
- Financial Modeling
Python for Finance: Investment Fundamentals & Data Analytics
Completed by Charles Clift
December 1, 2024
12 hours (approximately)
Charles Clift's account is verified. Coursera certifies their successful completion of Python for Finance: Investment Fundamentals & Data Analytics
What you will learn
Master the Python programming language and its application to financial data analysis.
Learn to calculate rates of return and measure investment risks using Python.
Apply Markowitz Portfolio Theory and the Capital Asset Pricing Model in portfolio optimization.
Understand and implement Monte Carlo simulations for financial forecasting and decision-making.
Skills you will gain
