1. Welcome! Course Introduction

  1. What Does the Course Cover.vtt

  2. Download Useful Resources - Exercises and Solutions.vtt

 10. Advanced Python tools

  1. Object Oriented Programming.vtt

  11. Working with arrays.mp4

  11.1 Working with Arrays - Resources.html

  12. Generating Random Numbers.vtt

  13. A Note on Using Financial Data in Python.mp4

  14. Sources of Financial Data.mp4

  15. Accessing the Notebook Files.mp4

  16. Importing and Organizing Data in Python – part I.mp4

  16.1 Importing and Organizing Data in Python - Resources.html

  17. Importing and Organizing Data in Python – part II.A.vtt

  18. Importing and Organizing Data in Python – part II.B.mp4

  18.1 Importing Modules - Resources.html

  19. Importing and Organizing Data in Python – part III.vtt

  2. Object Oriented Programming - Quiz.html

  20. Changing the Index of Your Time-Series Data.vtt

  21. Restarting the Jupyter Kernel.vtt

  3. Modules and Packages.vtt

  5. The Standard Library.mp4

  6. The Standard Library - Quiz.html

  7. Importing Modules.vtt

  8. Importing Modules - Quiz.html

  9. Must-have packages for Finance and Data Science.vtt

  9.2 Must-have Packages for Finance and Data Science - exercise.html

 11. PART II FINANCE Calculating and Comparing Rates of Return in Python

  1. Considering both risk and return.vtt

  10. What is a portfolio of securities and how to calculate its rate of return - Quiz.html

  11. Calculating a Portfolio of Securities' Rate of Return.vtt

  12. Popular stock indices that can help us understand financial markets.mp4

  12.1 Python for Finance Course Notes - Part II.pdf.pdf

  14. Calculating the Indices' Rate of Return.mp4

  14.1 Calculating the Return of Indices - Resources.html

  14.3 Indices_Data_2.csv.csv

  3. What are we going to see next.mp4

  3.1 Python for Finance Course Notes - Part II.pdf.pdf

  4. Calculating a security's rate of return.vtt

  5. Calculating a security's rate of return.html

  6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.vtt

  7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4

  7.1 Simple Returns Part 2 - Resources.html

  8. Calculating a Security’s Return in Python – Logarithmic Returns.vtt

  9. What is a portfolio of securities and how to calculate its rate of return.mp4

  9.1 Python for Finance Course Notes - Part II.pdf.pdf

 12. PART II Finance Measuring Investment Risk

  1. How do we measure a security's risk.vtt

  10. Calculating Covariance and Correlation.mp4

  10.1 Calculating Covariance and Correlation - Resources.html

  11. Considering the risk of multiple securities in a portfolio.vtt

  12. Calculating Portfolio Risk.mp4

  12.1 Calculating Portfolio Risk - Resources.html

  13. Understanding Systematic vs. Idiosyncratic risk.vtt

  14. Diversifiable Risk - Quiz.html

  15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.vtt

  2. Which of the following sentences is true - Quiz.html

  3. Calculating a Security’s Risk in Python.vtt

  4. The benefits of portfolio diversification.mp4

  4.1 Python for Finance Course Notes - Part II.pdf.pdf

  6. Calculating the covariance between securities.mp4

  6.1 Python for Finance Course Notes - Part II.pdf.pdf

  8. Measuring the correlation between stocks.mp4

  8.1 Python for Finance Course Notes - Part II.pdf.pdf

 13. PART II Finance - Using Regressions for Financial Analysis

  1. The fundamentals of simple regression analysis.vtt

  1.2 Housing Data.xlsx.xlsx

  3. Running a Regression in Python.mp4

  3.1 Running a Regression in Python - Resources.html

  4. Are all regressions created equal Learning how to distinguish good regressions.mp4

  4.1 Python for Finance Course Notes - Part II.pdf.pdf

  6. Computing Alpha, Beta, and R Squared in Python.mp4

  6.1 Computing Alpha, Beta, and R squared in Python - Resources.html

 14. PART II Finance - Markowitz Portfolio Optimization

  1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.vtt

  1.2 14. Markowitz Efficient frontier.xlsx.xlsx

  3. Obtaining the Efficient Frontier in Python – Part I.mp4

  3.1 Markowitz_Data.csv.csv

  4. Obtaining the Efficient Frontier in Python – Part II.mp4

  4.1 Obtaining the Efficient Frontier - Resources.html

  5. Obtaining the Efficient Frontier in Python – Part III.mp4

  5.1 Obtaining the Efficient Frontier - Resources.html

 15. Part II Finance - The Capital Asset Pricing Model

  1. The intuition behind the Capital Asset Pricing Model (CAPM).vtt

  10. Sharpe ratios - Quiz.html

  11. Obtaining the Sharpe ratio in Python.vtt

  11.2 CAPM_Data.csv.csv

  12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.vtt

  13. Alpha - Quiz.html

  3. Understanding and calculating a security's Beta.mp4

  3.1 Python for Finance Course Notes - Part II.pdf.pdf

  5. Calculating the Beta of a Stock.mp4

  5.1 CAPM_Data.csv.csv

  6. The CAPM formula.mp4

  6.1 Python for Finance Course Notes - Part II.pdf.pdf

  8. Calculating the Expected Return of a Stock (CAPM).mp4

  8.1 Calculating the Expected Return of a Stock - Resources.html

  9. Introducing the Sharpe ratio and how to put it into practice.mp4

  9.1 Python for Finance Course Notes - Part II.pdf.pdf

 16. Part II Finance Multivariate regression analysis

  1. Multivariate regression analysis - a valuable tool for finance practitioners.vtt

  2. Multivariate Regressions - Quiz.html

  3. Running a multivariate regression in Python.vtt

  3.2 Housing.xlsx.xlsx

 17. PART II Finance - Monte Carlo simulations as a decision-making tool

  1. The essence of Monte Carlo simulations.vtt

  1.2 Python for Finance Course Notes - Part II.pdf.pdf

  10. Monte Carlo Forecasting Stock Prices - Part II.vtt

  11. Monte Carlo Forecasting Stock Prices - Part III.mp4

  11.1 MC - Predicting Stock Prices - Part III.html

  12. An Introduction to Derivative Contracts.vtt

  13. Derivatives - Quiz.html

  14. The Black Scholes Formula for Option Pricing.vtt

  15. Monte Carlo Black-Scholes-Merton.mp4

  15.1 Black-Scholes-Merton - Resources.html

  17. Monte Carlo Euler Discretization - Part I.mp4

  17.1 Euler Discretization - Resources.html

  18. Monte Carlo Euler Discretization - Part II.vtt

  2. Monte Carlo - Quiz.html

  3. Monte Carlo applied in a Corporate Finance context.vtt

  4. Monte Carlo in Corporate Finance - Quiz.html

  5. Monte Carlo Predicting Gross Profit – Part I.vtt

  6. Monte Carlo Predicting Gross Profit – Part II.mp4

  6.1 Monte Carlo Gross Profit Part II - Resources.html

  7. Forecasting Stock Prices with a Monte Carlo Simulation.vtt

  9. Monte Carlo Forecasting Stock Prices - Part I.mp4

  9.1 Forecasting Stock Prices - Resources.html

 18. BONUS LECTURE

 2. Introduction to programming with Python

  1. Programming Explained in 5 Minutes.vtt

  10. Jupyter’s Interface.html

  11. Python 2 vs Python 3 What's the Difference.vtt

  2. Programming Explained in 5 Minutes.html

  3. Why Python.vtt

  5. Why Jupyter.mp4

  6. Why Jupyter.html

  7. Installing Python and Jupyter.vtt

  8. Jupyter’s Interface – the Dashboard.vtt

  9. Jupyter’s Interface – Prerequisites for Coding.vtt

 3. Python Variables and Data Types

  1. Variables.vtt

  2. Variables.html

  3. Numbers and Boolean Values.vtt

  4. Numbers and Boolean Values.html

  5. Strings.vtt

  6. Strings.html

 4. Basic Python Syntax

  1. Arithmetic Operators.vtt

  10. Indexing Elements.mp4

  10.1 Indexing Elements - Resources.html

  12. Structure Your Code with Indentation.mp4

  12.1 Structure Your Code with Indentation - Resources.html

  2. Arithmetic Operators.html

  3. The Double Equality Sign.vtt

  4. The Double Equality Sign.html

  5. Reassign Values.vtt

  6. Reassign values.html

  7. Add Comments.vtt

  8. Add Comments.html

  9. Line Continuation.vtt

 5. Python Operators Continued

  1. Comparison Operators.vtt

  2. Comparison Operators.html

  3. Logical and Identity Operators.vtt

  4. Logical and Identity Operators.html

 6. Conditional Statements

  1. Introduction to the IF statement.vtt

  2. Introduction to the IF statement.html

  3. Add an ELSE statement.vtt

  4. Else if, for Brief – ELIF.mp4

  4.1 Else If, for Brief - ELIF - Resources.html

  5. A Note on Boolean values.vtt

  6. A Note on Boolean Values.html

 7. Python Functions

  1. Defining a Function in Python.vtt

  2. Creating a Function with a Parameter.mp4

  2.1 Creating a Function with a Parameter - Resources.html

  3. Another Way to Define a Function.vtt

  5. Using a Function in another Function.mp4

  5.1 Using a Function in another Function - Resources.html

  6. Combining Conditional Statements and Functions.vtt

  7. Creating Functions Containing a Few Arguments.mp4

  8. Notable Built-in Functions in Python.mp4

  8.1 Notable Built-in Functions in Python - Resources.html

 8. Python Sequences

  1. Lists.vtt

  2. Lists.html

  3. Using Methods.vtt

  4. Using Methods.html

  5. List Slicing.vtt

  6. Tuples.mp4

  6.1 Tuples - Resources.html

  7. Dictionaries.vtt

  8. Dictionaries.html

 9. Using Iterations in Python

  1. For Loops.vtt

  2. For Loops.html

  3. While Loops and Incrementing.vtt

  4. Create Lists with the range() Function.mp4

  4.1 Create Lists with the range () Function - Resources.html

  6. Use Conditional Statements and Loops Together.mp4

  6.1 Use Conditional Statements and Loops Together - Resources.html

  7. All In – Conditional Statements, Functions, and Loops.vtt

  8. Iterating over Dictionaries.mp4

  8.1 Iterating over Dictionaries - Resources.html

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