Python for Finance
This course will take your analytical thinking to the next level by blending programming skills in Python and financial theory, while working with real-world data.
With Martin Ganchev and Ned KrastevStart Course
Python for Finance is the crossing point where programming in Python blends with financial theory. Together, they give you the know-how to apply that theory into practice and real-life scenarios. In a world where individuals and companies are aiming to become more and more autonomous, your ability to combine programming skills with financial data will allow you to create independent analyses. And that competency will give you an edge over your competitors or in your personal investments. To prepare you for these multi-faceted challenges, this course provides the relevant topics in financial theory and their hands-on application in Python.
Skills you will gain
What You'll Learn
Do you want to create an independent financial analysis with Python? This course will provide you the required skillset.
- Useful Tools Free11 Lesson 41 MinCourse Introduction Free Must-Have Packages for Finance and Data Science Free Working with Arrays Free Generating Random Numbers Free Important Note on Using Online Financial Data Sources Free Using Financial Data in Python Free Importing and Organizing Data in Python - Part I Free Importing and Organizing Data in Python - Part II Free Importing and Organizing Data in Python - Part III Free Changing the Index of Your Time-Series Data Free Restarting the Jupyter Kernel Free
- Calculating and Comparing Rates of Return in Python Free11 Lesson 45 MinConsidering Both Risk and Return Free What Are We Going to See Next Free Calculating a Security's Rate of Return Free Calculating a Security's Rate of Return in Python - Simple Returns - Part I Free Calculating a Security's Rate of Return in Python - Simple Returns - Part II Free Calculating a Security's Rate of Return in Python - Logarithmic Returns Free What Is a Portfolio of Securities and How to Calculate Its Rate of Return Free Using 'Loc' and 'Iloc' - Notes Free Calculating the Rate of Return of a Portfolio of Securities Free Popular Stock Indices Free Calculating the Rate of Return of Indices Free
- Meаsuring Investment Risk Free10 Lesson 41 MinHow Do We Measure a Security's Risk Free Calculating a Security's Risk in Python Free The Benefits of Portfolio Diversification Free Calculating the Covariance Between Securities Free Measuring the Correlation between Stocks Free Calculating Covariance and Correlation Free Considering the Risk of Multiple Securities in a Portfolio Free Calculating Portfolio Risk Free Understanding Systematic vs. Idiosyncratic Risk Free Calculating Diversifiable and Non-diversifiable Risk of a Portfolio Free
- Using Regressions for Financial Analysis Free4 Lesson 22 Min
- Markowitz Portfolio Optimization Free4 Lesson 20 Min
- The Capital Asset Pricing Model Free8 Lesson 26 MinThe Intuition behind the Capital Asset Pricing Model (CAPM) Free Understanding and Calculating a Security's Beta Free Calculating the Beta of a Stock Free The CAPM Formula Free Calculating the Expected Return of a Stock (CAPM) Free Introducing the Sharpe Ratio and the Way It Can Be Applied in Practice Free Obtaining the Sharpe Ratio in Python Free Measuring Alpha and Verifying How Good (or Bad) a Portfolio Manager Is Doing Free
- Multivariate Regression Analysis Free2 Lesson 12 Min
- Monte Carlo Simulations as a Decision-Making Tool Free15 Lesson 58 MinThe Essence of Monte Carlo Simulations Free What is a Normal Distribution? - Note Free Monte Carlo Applied in a Corporate Finance Context Free Monte Carlo: Predicting Gross Profit - Part I Free Monte Carlo: Predicting Gross Profit - Part II Free Forecasting Stock Prices with a Monte Carlo Simulation Free Another Way to Calculate Simple and Log Returns - Note Free Monte Carlo: Forecasting Stock Prices - Part I Free Monte Carlo: Forecasting Stock Prices - Part II Free Monte Carlo: Forecasting Stock Prices - Part III Free An Introduction to Derivative Contracts Free The Black-Scholes Formula for Option Pricing Free Monte Carlo: Black-Scholes-Merton Free Monte Carlo: Euler Discretization - Part I Free Monte Carlo: Euler Discretization - Part II Free
“This course is perfect for those of you who would like to exercise their Python skills and learn how to use Python for the purposes of financial and investment analysis. Everything we will study has a real-world application.”
Worked at European Commission
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Python for Finance
With Martin Ganchev and Ned Krastev