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1.1 Arithmetic Operators - Resources.html |
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1.1 Comparison Operators - Resources.html |
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1.1 Defining a Function in Python - Resources.html |
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1.1 For Loops - Resources.html |
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1.1 Introduction to the IF statement - Resources.html |
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1.1 Lists - Resources.html |
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1.1 Python for Finance - Course Notes - Part I.pdf.pdf |
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1.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
1.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
1.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
1.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
1.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
1.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
1.1 The essence of Monte Carlo simulations - Resources.html |
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1.1 Variables - Resources.html |
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1.2 14. Markowitz Efficient frontier.xlsx.xlsx |
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1.2 Housing Data.xlsx.xlsx |
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1.2 Python for Finance Course Notes - Part II.pdf.pdf |
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1. Arithmetic Operators.mp4 |
5.01MB |
1. Arithmetic Operators.vtt |
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1. Bonus Lecture Next Steps.html |
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1. Comparison Operators.mp4 |
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1. Comparison Operators.vtt |
2.14KB |
1. Considering both risk and return.mp4 |
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1. Considering both risk and return.vtt |
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1. Defining a Function in Python.mp4 |
2.55MB |
1. Defining a Function in Python.vtt |
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1. For Loops.mp4 |
3.43MB |
1. For Loops.vtt |
2.47KB |
1. How do we measure a security's risk.mp4 |
9.30MB |
1. How do we measure a security's risk.vtt |
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1. Introduction to the IF statement.mp4 |
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1. Introduction to the IF statement.vtt |
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1. Lists.mp4 |
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1. Lists.vtt |
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1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 |
10.83MB |
1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.vtt |
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1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 |
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1. Multivariate regression analysis - a valuable tool for finance practitioners.vtt |
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1. Object Oriented Programming.mp4 |
6.88MB |
1. Object Oriented Programming.vtt |
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1. Programming Explained in 5 Minutes.mp4 |
14.90MB |
1. Programming Explained in 5 Minutes.vtt |
6.08KB |
1. The essence of Monte Carlo simulations.mp4 |
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1. The essence of Monte Carlo simulations.vtt |
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1. The fundamentals of simple regression analysis.mp4 |
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1. The fundamentals of simple regression analysis.vtt |
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1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 |
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1. The intuition behind the Capital Asset Pricing Model (CAPM).vtt |
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1. Variables.mp4 |
26.61MB |
1. Variables.vtt |
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1. What Does the Course Cover.mp4 |
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1. What Does the Course Cover.vtt |
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10.1 Calculating Covariance and Correlation - Resources.html |
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10.1 Indexing Elements - Resources.html |
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10.1 MC - Predicting Stock Prices - Part II.html |
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10. Calculating Covariance and Correlation.mp4 |
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10. Calculating Covariance and Correlation.vtt |
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10. Indexing Elements.mp4 |
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10. Indexing Elements.vtt |
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10. Jupyter’s Interface.html |
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10. Monte Carlo Forecasting Stock Prices - Part II.mp4 |
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10. Monte Carlo Forecasting Stock Prices - Part II.vtt |
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10. Must-have packages - Quiz.html |
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10. Sharpe ratios - Quiz.html |
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10. What is a portfolio of securities and how to calculate its rate of return - Quiz.html |
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11.1 Calculating the Rate of Return of a Portfolio - Resources.html |
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11.1 MC - Predicting Stock Prices - Part III.html |
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11.1 Obtaining the Sharpe ratio in Python - Resources.html |
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11.1 Python for Finance - Course Notes - Part I.pdf.pdf |
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11.1 Python for Finance Course Notes - Part II.pdf.pdf |
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11.1 Working with Arrays - Resources.html |
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11.2 CAPM_Data.csv.csv |
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11. Calculating a Portfolio of Securities' Rate of Return.mp4 |
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11. Calculating a Portfolio of Securities' Rate of Return.vtt |
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11. Considering the risk of multiple securities in a portfolio.mp4 |
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11. Considering the risk of multiple securities in a portfolio.vtt |
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11. Indexing Elements.html |
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11. Monte Carlo Forecasting Stock Prices - Part III.mp4 |
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11. Monte Carlo Forecasting Stock Prices - Part III.vtt |
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11. Obtaining the Sharpe ratio in Python.mp4 |
2.07MB |
11. Obtaining the Sharpe ratio in Python.vtt |
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11. Python 2 vs Python 3 What's the Difference.mp4 |
13.58MB |
11. Python 2 vs Python 3 What's the Difference.vtt |
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11. Working with arrays.mp4 |
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12.1 Calculating Portfolio Risk - Resources.html |
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12.1 Generating Random Numbers - Resources.html |
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12.1 Python for Finance Course Notes - Part II.pdf.pdf |
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12.1 Python for Finance Course Notes - Part II.pdf.pdf |
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12.1 Python for Finance Course Notes - Part II.pdf.pdf |
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12.1 Structure Your Code with Indentation - Resources.html |
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12. An Introduction to Derivative Contracts.mp4 |
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12. An Introduction to Derivative Contracts.vtt |
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12. Calculating Portfolio Risk.mp4 |
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12. Calculating Portfolio Risk.vtt |
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12. Generating Random Numbers.mp4 |
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12. Generating Random Numbers.vtt |
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12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 |
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12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.vtt |
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12. Popular stock indices that can help us understand financial markets.mp4 |
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12. Popular stock indices that can help us understand financial markets.vtt |
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12. Structure Your Code with Indentation.mp4 |
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12. Structure Your Code with Indentation.vtt |
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13.1 Python for Finance Course Notes - Part II.pdf.pdf |
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13. Alpha - Quiz.html |
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13. A Note on Using Financial Data in Python.mp4 |
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13. A Note on Using Financial Data in Python.vtt |
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13. Derivatives - Quiz.html |
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13. Structure Your Code with Indentation.html |
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13. Understanding Systematic vs. Idiosyncratic risk.mp4 |
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13. Understanding Systematic vs. Idiosyncratic risk.vtt |
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13. Which of the following is not an index - Quiz.html |
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14.1 Calculating the Return of Indices - Resources.html |
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14.1 Python for Finance Course Notes - Part II.pdf.pdf |
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14.2 Indices_Data_1.csv.csv |
232.89KB |
14.3 Indices_Data_2.csv.csv |
112.19KB |
14. Calculating the Indices' Rate of Return.mp4 |
9.31MB |
14. Calculating the Indices' Rate of Return.vtt |
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14. Diversifiable Risk - Quiz.html |
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14. Sources of Financial Data.mp4 |
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14. Sources of Financial Data.vtt |
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14. The Black Scholes Formula for Option Pricing.mp4 |
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14. The Black Scholes Formula for Option Pricing.vtt |
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15.1 Black-Scholes-Merton - Resources.html |
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15.1 Calculating Diversifiable and Non-Diversifiable Risk - Resources.html |
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15. Accessing the Notebook Files.mp4 |
9.95MB |
15. Accessing the Notebook Files.vtt |
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15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 |
7.04MB |
15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.vtt |
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15. Monte Carlo Black-Scholes-Merton.mp4 |
10.19MB |
15. Monte Carlo Black-Scholes-Merton.vtt |
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16.1 Importing and Organizing Data in Python - Resources.html |
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16. Importing and Organizing Data in Python – part I.mp4 |
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16. Importing and Organizing Data in Python – part I.vtt |
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16. Using Monte Carlo with Black-Scholes-Merton - Quiz.html |
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17.1 Euler Discretization - Resources.html |
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17.1 Importing and Organizing Data in Python - Resources.html |
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17. Importing and Organizing Data in Python – part II.A.mp4 |
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17. Importing and Organizing Data in Python – part II.A.vtt |
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17. Monte Carlo Euler Discretization - Part I.mp4 |
10.82MB |
17. Monte Carlo Euler Discretization - Part I.vtt |
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18.1 Euler DIscretization - Part II.html |
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18.1 Importing Modules - Resources.html |
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18. Importing and Organizing Data in Python – part II.B.mp4 |
36.82MB |
18. Importing and Organizing Data in Python – part II.B.vtt |
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18. Monte Carlo Euler Discretization - Part II.mp4 |
3.56MB |
18. Monte Carlo Euler Discretization - Part II.vtt |
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19.1 Importing and Organizing Data in Python - Resources.html |
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19. Importing and Organizing Data in Python – part III.mp4 |
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19. Importing and Organizing Data in Python – part III.vtt |
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2.1 Course Resources - Complete Package.html |
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2.1 Creating a Function with a Parameter - Resources.html |
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2. Arithmetic Operators.html |
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2. CAPM - Quiz.html |
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2. Comparison Operators.html |
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2. Creating a Function with a Parameter.mp4 |
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2. Creating a Function with a Parameter.vtt |
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2. Download Useful Resources - Exercises and Solutions.mp4 |
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2. Download Useful Resources - Exercises and Solutions.vtt |
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2. For Loops.html |
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2. Introduction to the IF statement.html |
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2. Lists.html |
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2. Markowitz - Quiz.html |
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2. Monte Carlo - Quiz.html |
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2. Multivariate Regressions - Quiz.html |
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2. Object Oriented Programming - Quiz.html |
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2. Programming Explained in 5 Minutes.html |
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2. Regressions - Quiz.html |
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2. Risk and return - Quiz.html |
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2. Variables.html |
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2. Which of the following sentences is true - Quiz.html |
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20. Changing the Index of Your Time-Series Data.mp4 |
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20. Changing the Index of Your Time-Series Data.vtt |
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21. Restarting the Jupyter Kernel.mp4 |
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21. Restarting the Jupyter Kernel.vtt |
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3.1 Add an ELSE statement - Resources.html |
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3.1 Calculating a Security's Risk in Python - Resources.html |
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3.1 Logical and Identity Operators - Resources.html |
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3.1 Markowitz_Data.csv.csv |
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3.1 Methods - Resources.html |
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3.1 Numbers and Boolean Values - Resources.html |
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3.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
3.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
3.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
3.1 Running a Multivariate Regression in Python - Resources.html |
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3.1 Running a Regression in Python - Resources.html |
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3.1 The Double Equality Sign - Resources.html |
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3.1 While Loops and Incrementing - Resources.html |
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3.2 Housing.xlsx.xlsx |
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3.2 Housing.xlsx.xlsx |
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3.2 Obtaining the Efficient Frontier in Python - Resources.html |
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3. Add an ELSE statement.mp4 |
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3. Add an ELSE statement.vtt |
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3. Another Way to Define a Function.mp4 |
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3. Another Way to Define a Function.vtt |
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3. Calculating a Security’s Risk in Python.mp4 |
10.76MB |
3. Calculating a Security’s Risk in Python.vtt |
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3. Logical and Identity Operators.mp4 |
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3. Logical and Identity Operators.vtt |
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3. Modules and Packages.mp4 |
1.66MB |
3. Modules and Packages.vtt |
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3. Monte Carlo applied in a Corporate Finance context.mp4 |
4.10MB |
3. Monte Carlo applied in a Corporate Finance context.vtt |
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3. Numbers and Boolean Values.mp4 |
4.46MB |
3. Numbers and Boolean Values.vtt |
3.14KB |
3. Obtaining the Efficient Frontier in Python – Part I.mp4 |
8.80MB |
3. Obtaining the Efficient Frontier in Python – Part I.vtt |
5.28KB |
3. Running a multivariate regression in Python.mp4 |
15.39MB |
3. Running a multivariate regression in Python.vtt |
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3. Running a Regression in Python.mp4 |
10.03MB |
3. Running a Regression in Python.vtt |
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3. The Double Equality Sign.mp4 |
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3. The Double Equality Sign.vtt |
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3. Understanding and calculating a security's Beta.mp4 |
6.33MB |
3. Understanding and calculating a security's Beta.vtt |
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3. Using Methods.mp4 |
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3. Using Methods.vtt |
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3. What are we going to see next.mp4 |
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3. What are we going to see next.vtt |
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3. While Loops and Incrementing.mp4 |
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3. While Loops and Incrementing.vtt |
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3. Why Python.mp4 |
15.66MB |
3. Why Python.vtt |
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4.1 Create Lists with the range () Function - Resources.html |
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4.1 Else If, for Brief - ELIF - Resources.html |
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4.1 Obtaining the Efficient Frontier - Resources.html |
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4.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
4.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
4.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
4.2 Markowitz_Data.csv.csv |
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4. Another Way to Define a Function.html |
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4. Are all regressions created equal Learning how to distinguish good regressions.mp4 |
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4. Are all regressions created equal Learning how to distinguish good regressions.vtt |
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4. Beta - Quiz.html |
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4. Calculating a security's rate of return.mp4 |
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4. Calculating a security's rate of return.vtt |
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4. Create Lists with the range() Function.mp4 |
3.29MB |
4. Create Lists with the range() Function.vtt |
2.47KB |
4. Else if, for Brief – ELIF.mp4 |
8.15MB |
4. Else if, for Brief – ELIF.vtt |
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4. Logical and Identity Operators.html |
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4. Modules - Quiz.html |
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4. Monte Carlo in Corporate Finance - Quiz.html |
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4. Numbers and Boolean Values.html |
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4. Obtaining the Efficient Frontier in Python – Part II.mp4 |
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4. Obtaining the Efficient Frontier in Python – Part II.vtt |
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4. The benefits of portfolio diversification.mp4 |
5.75MB |
4. The benefits of portfolio diversification.vtt |
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4. The Double Equality Sign.html |
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4. Using Methods.html |
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4. Why Python.html |
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5.1 A Note on Boolean values - Resources.html |
134B |
5.1 CAPM_Data.csv.csv |
40.72KB |
5.1 List Slicing - Resources.html |
134B |
5.1 Monte Carlo Gross Profit - Resources.html |
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5.1 Obtaining the Efficient Frontier - Resources.html |
134B |
5.1 Reassign Values - Resources.html |
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5.1 Strings - Resources.html |
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5.1 Using a Function in another Function - Resources.html |
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5.2 Calculating the Beta of a Stock - Resources.html |
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5.2 Markowitz_Data.csv.csv |
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5. A Note on Boolean values.mp4 |
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5. A Note on Boolean values.vtt |
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5. Calculating a security's rate of return.html |
163B |
5. Calculating the Beta of a Stock.mp4 |
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5. Calculating the Beta of a Stock.vtt |
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5. Create Lists with the range() Function.html |
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5. Investing in stocks - Quiz.html |
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5. List Slicing.mp4 |
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5. List Slicing.vtt |
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5. Monte Carlo Predicting Gross Profit – Part I.mp4 |
13.03MB |
5. Monte Carlo Predicting Gross Profit – Part I.vtt |
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5. Obtaining the Efficient Frontier in Python – Part III.mp4 |
3.75MB |
5. Obtaining the Efficient Frontier in Python – Part III.vtt |
2.23KB |
5. Reassign Values.mp4 |
1.43MB |
5. Reassign Values.vtt |
1.13KB |
5. Regressions - Quiz.html |
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5. Strings.mp4 |
9.07MB |
5. Strings.vtt |
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5. The Standard Library.mp4 |
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5. The Standard Library.vtt |
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5. Using a Function in another Function.mp4 |
2.29MB |
5. Using a Function in another Function.vtt |
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5. Why Jupyter.mp4 |
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5. Why Jupyter.vtt |
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6.1 Combining Conditional Statements and Functions - Resources.html |
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6.1 Computing Alpha, Beta, and R squared in Python - Resources.html |
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6.1 Monte Carlo Gross Profit Part II - Resources.html |
134B |
6.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
6.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
6.1 Simple Returns Part 1 - Resources.html |
134B |
6.1 Tuples - Resources.html |
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6.1 Use Conditional Statements and Loops Together - Resources.html |
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6.2 Housing.xlsx.xlsx |
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6. A Note on Boolean Values.html |
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6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 |
10.55MB |
6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.vtt |
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6. Calculating the covariance between securities.mp4 |
5.88MB |
6. Calculating the covariance between securities.vtt |
3.80KB |
6. Combining Conditional Statements and Functions.mp4 |
4.34MB |
6. Combining Conditional Statements and Functions.vtt |
3.08KB |
6. Computing Alpha, Beta, and R Squared in Python.mp4 |
10.04MB |
6. Computing Alpha, Beta, and R Squared in Python.vtt |
5.95KB |
6. Monte Carlo Predicting Gross Profit – Part II.mp4 |
4.85MB |
6. Monte Carlo Predicting Gross Profit – Part II.vtt |
3.22KB |
6. Reassign values.html |
163B |
6. Strings.html |
163B |
6. The CAPM formula.mp4 |
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6. The CAPM formula.vtt |
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6. The Standard Library - Quiz.html |
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6. Tuples.mp4 |
4.21MB |
6. Tuples.vtt |
2.99KB |
6. Use Conditional Statements and Loops Together.mp4 |
4.49MB |
6. Use Conditional Statements and Loops Together.vtt |
3.15KB |
6. Why Jupyter.html |
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7.1 Add Comments - Resources.html |
134B |
7.1 All In - Conditional Statements, Functions, and Loops - Resources.html |
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7.1 Dictionaries - Resources.html |
134B |
7.1 Importing and Organizing Data in Python – Resources.html |
134B |
7.1 Simple Returns Part 2 - Resources.html |
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7. Add Comments.mp4 |
1.74MB |
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7. All In – Conditional Statements, Functions, and Loops.mp4 |
2.85MB |
7. All In – Conditional Statements, Functions, and Loops.vtt |
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7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 |
5.48MB |
7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.vtt |
3.74KB |
7. CAPM - Quiz.html |
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7. Covariance - Quiz.html |
163B |
7. Creating Functions Containing a Few Arguments.mp4 |
1.80MB |
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7. Dictionaries.mp4 |
6.01MB |
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7. Forecasting Stock Prices with a Monte Carlo Simulation.mp4 |
6.43MB |
7. Forecasting Stock Prices with a Monte Carlo Simulation.vtt |
4.77KB |
7. Importing Modules.mp4 |
5.90MB |
7. Importing Modules.vtt |
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7. Installing Python and Jupyter.mp4 |
54.43MB |
7. Installing Python and Jupyter.vtt |
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8.1 Calculating the Expected Return of a Stock - Resources.html |
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8.1 Iterating over Dictionaries - Resources.html |
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8.1 Logarithmic Returns - Resources.html |
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8.1 Notable Built-in Functions in Python - Resources.html |
134B |
8.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
8.2 CAPM_Data.csv.csv |
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8. Add Comments.html |
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8. Calculating a Security’s Return in Python – Logarithmic Returns.mp4 |
6.37MB |
8. Calculating a Security’s Return in Python – Logarithmic Returns.vtt |
3.86KB |
8. Calculating the Expected Return of a Stock (CAPM).mp4 |
3.97MB |
8. Calculating the Expected Return of a Stock (CAPM).vtt |
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8. Dictionaries.html |
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8. Importing Modules - Quiz.html |
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8. Iterating over Dictionaries.mp4 |
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8. Jupyter’s Interface – the Dashboard.mp4 |
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8. Jupyter’s Interface – the Dashboard.vtt |
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8. Measuring the correlation between stocks.mp4 |
5.68MB |
8. Measuring the correlation between stocks.vtt |
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8. Monte Carlo Simulations - Quiz.html |
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8. Notable Built-in Functions in Python.mp4 |
5.83MB |
8. Notable Built-in Functions in Python.vtt |
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9.1 47 Packages Exercise.pdf.pdf |
256.13KB |
9.1 Forecasting Stock Prices - Resources.html |
134B |
9.1 Jupyter_Shortcuts.pdf.pdf |
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9.1 Line Continuation - Resources.html |
134B |
9.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
9.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
9.2 Must-have Packages for Finance and Data Science - exercise.html |
181B |
9. Correlation - Quiz.html |
163B |
9. Functions.html |
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9. Introducing the Sharpe ratio and how to put it into practice.mp4 |
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9. Jupyter’s Interface – Prerequisites for Coding.mp4 |
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9. Jupyter’s Interface – Prerequisites for Coding.vtt |
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