- Data Manipulation
- Time Series Analysis and Forecasting
- Regression Analysis
- NumPy
- Financial Modeling
- Risk Analysis
- Simulations
- Jupyter
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Matplotlib
- Portfolio Management
Python for Finance: Investment Fundamentals & Data Analytics
Completed by Nathanael N. Roberson
March 1, 2025
12 hours (approximately)
Nathanael N. Roberson'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
