10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 70.7 MB
2. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 57.1 MB
10. Advanced Python tools/14. Sources of Financial Data.mp4 45.7 MB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 38.6 MB
3. Python Variables and Data Types/1. Variables.mp4 27.9 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.vtt 26.4 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 26.4 MB
10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 19.7 MB
2. Introduction to programming with Python/3. Why Python.mp4 16.4 MB
16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 16.1 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.9 MB
2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 15.6 MB
2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 14.2 MB
1. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.7 MB
2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.9 MB
14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 12.2 MB
14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11.4 MB
12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11.3 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 11.1 MB
10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp4 10.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.mp4 10.7 MB
13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.mp4 10.5 MB
13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.mp4 10.5 MB
10. Advanced Python tools/15. Accessing the Notebook Files.mp4 10.4 MB
2. Introduction to programming with Python/5. Why Jupyter.mp4 10.3 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.mp4 9.8 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.mp4 9.8 MB
12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp4 9.8 MB
16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 9.7 MB
3. Python Variables and Data Types/5. Strings.mp4 9.5 MB
14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp4 9.2 MB
10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp4 9.1 MB
10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp4 9.1 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.mp4 8.8 MB
12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp4 8.8 MB
10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp4 8.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.mp4 8.4 MB
10. Advanced Python tools/11. Working with arrays.mp4 8.3 MB
5. Python Operators Continued/3. Logical and Identity Operators.mp4 8.3 MB
12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp4 8.1 MB
13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.mp4 8.0 MB
15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 7.9 MB
8. Python Sequences/5. List Slicing.mp4 7.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.mp4 7.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.mp4 7.4 MB
12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 7.4 MB
12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.mp4 6.2 MB
7. Python Functions/8. Notable Built-in Functions in Python.mp4 6.1 MB
7. Python Functions/2. Creating a Function with a Parameter.mp4 6.1 MB
12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.mp4 6.0 MB
12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.mp4 6.0 MB
13. PART II Finance - Using Regressions for Financial Analysis/1. The fundamentals of simple regression analysis.mp4 5.9 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12. Popular stock indices that can help us understand financial markets.mp4 5.9 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 5.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/6. Monte Carlo Predicting Gross Profit – Part II.mp4 5.1 MB
12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.mp4 5.1 MB
9. Using Iterations in Python/3. While Loops and Incrementing.mp4 5.0 MB
9. Using Iterations in Python/8. Iterating over Dictionaries.mp4 4.8 MB
9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.mp4 4.7 MB
3. Python Variables and Data Types/3. Numbers and Boolean Values.mp4 4.7 MB
12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.mp4 4.6 MB
7. Python Functions/6. Combining Conditional Statements and Functions.mp4 4.6 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9. What is a portfolio of securities and how to calculate its rate of return.mp4 4.5 MB
2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.mp4 4.5 MB
8. Python Sequences/6. Tuples.mp4 4.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/3. Monte Carlo applied in a Corporate Finance context.mp4 4.3 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/1. The essence of Monte Carlo simulations.mp4 4.3 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3. What are we going to see next.mp4 4.3 MB
6. Conditional Statements/1. Introduction to the IF statement.mp4 4.3 MB
10. Advanced Python tools/5. The Standard Library.mp4 4.2 MB
15. Part II Finance - The Capital Asset Pricing Model/8. Calculating the Expected Return of a Stock (CAPM).mp4 4.2 MB
10. Advanced Python tools/12. Generating Random Numbers.mp4 4.0 MB
14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.mp4 3.9 MB
7. Python Functions/3. Another Way to Define a Function.mp4 3.8 MB
6. Conditional Statements/3. Add an ELSE statement.mp4 3.8 MB
15. Part II Finance - The Capital Asset Pricing Model/9. Introducing the Sharpe ratio and how to put it into practice.mp4 3.8 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/18. Monte Carlo Euler Discretization - Part II.mp4 3.7 MB
9. Using Iterations in Python/1. For Loops.mp4 3.6 MB
9. Using Iterations in Python/4. Create Lists with the range() Function.mp4 3.4 MB
6. Conditional Statements/5. A Note on Boolean values.mp4 3.4 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.vtt 5.7 kB
15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).vtt 5.5 kB
3. Python Variables and Data Types/1. Variables.vtt 5.5 kB
13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.vtt 5.5 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.vtt 5.4 kB
14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.vtt 5.4 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.vtt 5.4 kB
14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.vtt 5.3 kB
12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.vtt 5.2 kB
10. Advanced Python tools/9. Must-have packages for Finance and Data Science.vtt 5.1 kB
5. Python Operators Continued/3. Logical and Identity Operators.vtt 5.0 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.vtt 4.9 kB
8. Python Sequences/5. List Slicing.vtt 4.9 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/7. Forecasting Stock Prices with a Monte Carlo Simulation.vtt 4.9 kB
15. Part II Finance - The Capital Asset Pricing Model/6. The CAPM formula.vtt 4.9 kB
15. Part II Finance - The Capital Asset Pricing Model/12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.vtt 4.8 kB
15. Part II Finance - The Capital Asset Pricing Model/3. Understanding and calculating a security's Beta.vtt 4.7 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.vtt 4.6 kB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.vtt 4.6 kB
12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.vtt 4.4 kB
12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.vtt 4.3 kB
8. Python Sequences/1. Lists.vtt 4.3 kB
13. PART II Finance - Using Regressions for Financial Analysis/1. The fundamentals of simple regression analysis.vtt 4.2 kB
12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.vtt 4.2 kB
2. Introduction to programming with Python/5. Why Jupyter.vtt 4.2 kB
10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.vtt 4.0 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8. Calculating a Security’s Return in Python – Logarithmic Returns.vtt 4.0 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12. Popular stock indices that can help us understand financial markets.vtt 3.9 kB
12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.vtt 3.9 kB
7. Python Functions/2. Creating a Function with a Parameter.vtt 3.8 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/9. Monte Carlo Forecasting Stock Prices - Part I.vtt 3.8 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.vtt 3.8 kB
15. Part II Finance - The Capital Asset Pricing Model/5. Calculating the Beta of a Stock.vtt 3.8 kB
7. Python Functions/8. Notable Built-in Functions in Python.vtt 3.7 kB
10. Advanced Python tools/5. The Standard Library.vtt 3.3 kB
12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.vtt 3.2 kB
9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.vtt 3.2 kB
10. Advanced Python tools/13. A Note on Using Financial Data in Python.vtt 3.2 kB
3. Python Variables and Data Types/3. Numbers and Boolean Values.vtt 3.2 kB
6. Conditional Statements/1. Introduction to the IF statement.vtt 3.2 kB
2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.vtt 3.2 kB
7. Python Functions/6. Combining Conditional Statements and Functions.vtt 3.1 kB
10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.vtt 3.1 kB
8. Python Sequences/6. Tuples.vtt 3.1 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3. What are we going to see next.vtt 2.9 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/1. The essence of Monte Carlo simulations.vtt 2.9 kB
10. Advanced Python tools/12. Generating Random Numbers.vtt 2.8 kB
10. Advanced Python tools/15. Accessing the Notebook Files.vtt 2.8 kB
7. Python Functions/3. Another Way to Define a Function.vtt 2.8 kB
15. Part II Finance - The Capital Asset Pricing Model/9. Introducing the Sharpe ratio and how to put it into practice.vtt 2.7 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9. What is a portfolio of securities and how to calculate its rate of return.vtt 2.7 kB
12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.vtt 2.7 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/3. Monte Carlo applied in a Corporate Finance context.vtt 2.7 kB
15. Part II Finance - The Capital Asset Pricing Model/8. Calculating the Expected Return of a Stock (CAPM).vtt 2.6 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1. Considering both risk and return.vtt 2.6 kB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/18. Monte Carlo Euler Discretization - Part II.vtt 2.6 kB
6. Conditional Statements/5. A Note on Boolean values.vtt 2.6 kB
6. Conditional Statements/3. Add an ELSE statement.vtt 2.5 kB
9. Using Iterations in Python/1. For Loops.vtt 2.5 kB
9. Using Iterations in Python/3. While Loops and Incrementing.vtt 2.5 kB
9. Using Iterations in Python/4. Create Lists with the range() Function.vtt 2.5 kB
10. Advanced Python tools/21. Restarting the Jupyter Kernel.vtt 2.5 kB
18. BONUS LECTURE/1. Bonus Lecture Next Steps.html 2.5 kB
14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.vtt 2.3 kB
7. Python Functions/1. Defining a Function in Python.vtt 2.3 kB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/10. What is a portfolio of securities and how to calculate its rate of return - Quiz.html 163 Bytes
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/13. Which of the following is not an index - Quiz.html 163 Bytes
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/2. Risk and return - Quiz.html 163 Bytes
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/5. Calculating a security's rate of return.html 163 Bytes
12. PART II Finance Measuring Investment Risk/14. Diversifiable Risk - Quiz.html 163 Bytes
12. PART II Finance Measuring Investment Risk/2. Which of the following sentences is true - Quiz.html 163 Bytes
12. PART II Finance Measuring Investment Risk/5. Investing in stocks - Quiz.html 163 Bytes
12. PART II Finance Measuring Investment Risk/7. Covariance - Quiz.html 163 Bytes
12. PART II Finance Measuring Investment Risk/9. Correlation - Quiz.html 163 Bytes
13. PART II Finance - Using Regressions for Financial Analysis/2. Regressions - Quiz.html 163 Bytes
13. PART II Finance - Using Regressions for Financial Analysis/5. Regressions - Quiz.html 163 Bytes
14. PART II Finance - Markowitz Portfolio Optimization/2. Markowitz - Quiz.html 163 Bytes
15. Part II Finance - The Capital Asset Pricing Model/10. Sharpe ratios - Quiz.html 163 Bytes
15. Part II Finance - The Capital Asset Pricing Model/13. Alpha - Quiz.html 163 Bytes
15. Part II Finance - The Capital Asset Pricing Model/2. CAPM - Quiz.html 163 Bytes
15. Part II Finance - The Capital Asset Pricing Model/4. Beta - Quiz.html 163 Bytes
15. Part II Finance - The Capital Asset Pricing Model/7. CAPM - Quiz.html 163 Bytes
16. Part II Finance Multivariate regression analysis/2. Multivariate Regressions - Quiz.html 163 Bytes
17. PART II Finance - Monte Carlo simulations as a decision-making tool/13. Derivatives - Quiz.html 163 Bytes
17. PART II Finance - Monte Carlo simulations as a decision-making tool/16. Using Monte Carlo with Black-Scholes-Merton - Quiz.html 163 Bytes
17. PART II Finance - Monte Carlo simulations as a decision-making tool/2. Monte Carlo - Quiz.html 163 Bytes
17. PART II Finance - Monte Carlo simulations as a decision-making tool/4. Monte Carlo in Corporate Finance - Quiz.html 163 Bytes
17. PART II Finance - Monte Carlo simulations as a decision-making tool/8. Monte Carlo Simulations - Quiz.html 163 Bytes
2. Introduction to programming with Python/10. Jupyter’s Interface.html 163 Bytes
2. Introduction to programming with Python/2. Programming Explained in 5 Minutes.html 163 Bytes
2. Introduction to programming with Python/4. Why Python.html 163 Bytes
2. Introduction to programming with Python/6. Why Jupyter.html 163 Bytes
3. Python Variables and Data Types/2. Variables.html 163 Bytes
3. Python Variables and Data Types/4. Numbers and Boolean Values.html 163 Bytes
3. Python Variables and Data Types/6. Strings.html 163 Bytes