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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1.1 Arithmetic Operators - Resources.html |
134B |
| 1.1 Comparison Operators - Resources.html |
134B |
| 1.1 Defining a Function in Python - Resources.html |
134B |
| 1.1 For Loops - Resources.html |
134B |
| 1.1 Introduction to the IF statement - Resources.html |
134B |
| 1.1 Lists - Resources.html |
134B |
| 1.1 Python for Finance - Course Notes - Part I.pdf.pdf |
2.23MB |
| 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 |
134B |
| 1.1 Variables - Resources.html |
134B |
| 1.2 14. Markowitz Efficient frontier.xlsx.xlsx |
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| 1.2 Housing Data.xlsx.xlsx |
14.44KB |
| 1.2 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 1. Arithmetic Operators.mp4 |
5.01MB |
| 1. Arithmetic Operators.vtt |
3.61KB |
| 1. Bonus Lecture Next Steps.html |
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| 1. Comparison Operators.mp4 |
2.89MB |
| 1. Comparison Operators.vtt |
2.14KB |
| 1. Considering both risk and return.mp4 |
6.18MB |
| 1. Considering both risk and return.vtt |
2.54KB |
| 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 |
6.48KB |
| 1. Introduction to the IF statement.mp4 |
4.06MB |
| 1. Introduction to the IF statement.vtt |
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| 1. Lists.mp4 |
6.02MB |
| 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 |
6.64KB |
| 1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 |
9.23MB |
| 1. Multivariate regression analysis - a valuable tool for finance practitioners.vtt |
6.04KB |
| 1. Object Oriented Programming.mp4 |
6.88MB |
| 1. Object Oriented Programming.vtt |
5.34KB |
| 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 |
4.06MB |
| 1. The essence of Monte Carlo simulations.vtt |
2.84KB |
| 1. The fundamentals of simple regression analysis.mp4 |
5.61MB |
| 1. The fundamentals of simple regression analysis.vtt |
4.13KB |
| 1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 |
7.52MB |
| 1. The intuition behind the Capital Asset Pricing Model (CAPM).vtt |
5.38KB |
| 1. Variables.mp4 |
26.61MB |
| 1. Variables.vtt |
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| 1. What Does the Course Cover.mp4 |
13.06MB |
| 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 |
5.06KB |
| 10. Indexing Elements.mp4 |
1.83MB |
| 10. Indexing Elements.vtt |
1.47KB |
| 10. Jupyter’s Interface.html |
163B |
| 10. Monte Carlo Forecasting Stock Prices - Part II.mp4 |
7.99MB |
| 10. Monte Carlo Forecasting Stock Prices - Part II.vtt |
4.78KB |
| 10. Must-have packages - Quiz.html |
163B |
| 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 |
134B |
| 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 |
2.28MB |
| 11.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 11.1 Working with Arrays - Resources.html |
134B |
| 11.2 CAPM_Data.csv.csv |
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| 11. Calculating a Portfolio of Securities' Rate of Return.mp4 |
15.14MB |
| 11. Calculating a Portfolio of Securities' Rate of Return.vtt |
8.39KB |
| 11. Considering the risk of multiple securities in a portfolio.mp4 |
7.74MB |
| 11. Considering the risk of multiple securities in a portfolio.vtt |
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| 11. Indexing Elements.html |
163B |
| 11. Monte Carlo Forecasting Stock Prices - Part III.mp4 |
7.10MB |
| 11. Monte Carlo Forecasting Stock Prices - Part III.vtt |
4.49KB |
| 11. Obtaining the Sharpe ratio in Python.mp4 |
2.07MB |
| 11. Obtaining the Sharpe ratio in Python.vtt |
1.43KB |
| 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 |
7.90MB |
| 11. Working with arrays.vtt |
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| 12.1 Calculating Portfolio Risk - Resources.html |
134B |
| 12.1 Generating Random Numbers - Resources.html |
134B |
| 12.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 12.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 12.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 12.1 Structure Your Code with Indentation - Resources.html |
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| 12. An Introduction to Derivative Contracts.mp4 |
9.35MB |
| 12. An Introduction to Derivative Contracts.vtt |
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| 12. Calculating Portfolio Risk.mp4 |
4.38MB |
| 12. Calculating Portfolio Risk.vtt |
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| 12. Generating Random Numbers.mp4 |
3.85MB |
| 12. Generating Random Numbers.vtt |
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| 12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 |
6.46MB |
| 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 |
5.57MB |
| 12. Popular stock indices that can help us understand financial markets.vtt |
3.81KB |
| 12. Structure Your Code with Indentation.mp4 |
2.20MB |
| 12. Structure Your Code with Indentation.vtt |
1.90KB |
| 13.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 13. Alpha - Quiz.html |
163B |
| 13. A Note on Using Financial Data in Python.mp4 |
18.82MB |
| 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 |
3.15KB |
| 13. Which of the following is not an index - Quiz.html |
163B |
| 14.1 Calculating the Return of Indices - Resources.html |
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| 14.1 Python for Finance Course Notes - Part II.pdf.pdf |
1.36MB |
| 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 |
5.25KB |
| 14. Diversifiable Risk - Quiz.html |
163B |
| 14. Sources of Financial Data.mp4 |
38.76MB |
| 14. Sources of Financial Data.vtt |
7.34KB |
| 14. The Black Scholes Formula for Option Pricing.mp4 |
7.06MB |
| 14. The Black Scholes Formula for Option Pricing.vtt |
5.29KB |
| 15.1 Black-Scholes-Merton - Resources.html |
134B |
| 15.1 Calculating Diversifiable and Non-Diversifiable Risk - Resources.html |
134B |
| 15. Accessing the Notebook Files.mp4 |
9.95MB |
| 15. Accessing the Notebook Files.vtt |
2.70KB |
| 15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 |
7.04MB |
| 15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.vtt |
4.31KB |
| 15. Monte Carlo Black-Scholes-Merton.mp4 |
10.19MB |
| 15. Monte Carlo Black-Scholes-Merton.vtt |
6.56KB |
| 16.1 Importing and Organizing Data in Python - Resources.html |
134B |
| 16. Importing and Organizing Data in Python – part I.mp4 |
24.05MB |
| 16. Importing and Organizing Data in Python – part I.vtt |
3.61KB |
| 16. Using Monte Carlo with Black-Scholes-Merton - Quiz.html |
163B |
| 17.1 Euler Discretization - Resources.html |
134B |
| 17.1 Importing and Organizing Data in Python - Resources.html |
134B |
| 17. Importing and Organizing Data in Python – part II.A.mp4 |
66.60MB |
| 17. Importing and Organizing Data in Python – part II.A.vtt |
6.93KB |
| 17. Monte Carlo Euler Discretization - Part I.mp4 |
10.82MB |
| 17. Monte Carlo Euler Discretization - Part I.vtt |
6.99KB |
| 18.1 Euler DIscretization - Part II.html |
134B |
| 18.1 Importing Modules - Resources.html |
134B |
| 18. Importing and Organizing Data in Python – part II.B.mp4 |
36.82MB |
| 18. Importing and Organizing Data in Python – part II.B.vtt |
4.46KB |
| 18. Monte Carlo Euler Discretization - Part II.mp4 |
3.56MB |
| 18. Monte Carlo Euler Discretization - Part II.vtt |
2.51KB |
| 19.1 Importing and Organizing Data in Python - Resources.html |
134B |
| 19. Importing and Organizing Data in Python – part III.mp4 |
8.05MB |
| 19. Importing and Organizing Data in Python – part III.vtt |
3.93KB |
| 2.1 Course Resources - Complete Package.html |
134B |
| 2.1 Creating a Function with a Parameter - Resources.html |
134B |
| 2. Arithmetic Operators.html |
163B |
| 2. CAPM - Quiz.html |
163B |
| 2. Comparison Operators.html |
163B |
| 2. Creating a Function with a Parameter.mp4 |
5.79MB |
| 2. Creating a Function with a Parameter.vtt |
3.76KB |
| 2. Download Useful Resources - Exercises and Solutions.mp4 |
8.21MB |
| 2. Download Useful Resources - Exercises and Solutions.vtt |
3.21KB |
| 2. For Loops.html |
163B |
| 2. Introduction to the IF statement.html |
163B |
| 2. Lists.html |
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| 2. Markowitz - Quiz.html |
163B |
| 2. Monte Carlo - Quiz.html |
163B |
| 2. Multivariate Regressions - Quiz.html |
163B |
| 2. Object Oriented Programming - Quiz.html |
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| 2. Programming Explained in 5 Minutes.html |
163B |
| 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 |
10.19MB |
| 20. Changing the Index of Your Time-Series Data.vtt |
3.05KB |
| 21. Restarting the Jupyter Kernel.mp4 |
8.72MB |
| 21. Restarting the Jupyter Kernel.vtt |
2.43KB |
| 3.1 Add an ELSE statement - Resources.html |
134B |
| 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 |
58.62KB |
| 3.1 Methods - Resources.html |
134B |
| 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 |
134B |
| 3.1 Running a Regression in Python - Resources.html |
134B |
| 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 |
10.04KB |
| 3.2 Obtaining the Efficient Frontier in Python - Resources.html |
134B |
| 3. Add an ELSE statement.mp4 |
3.63MB |
| 3. Add an ELSE statement.vtt |
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| 3. Another Way to Define a Function.mp4 |
3.65MB |
| 3. Another Way to Define a Function.vtt |
2.70KB |
| 3. Calculating a Security’s Risk in Python.mp4 |
10.76MB |
| 3. Calculating a Security’s Risk in Python.vtt |
6.11KB |
| 3. Logical and Identity Operators.mp4 |
7.87MB |
| 3. Logical and Identity Operators.vtt |
4.92KB |
| 3. Modules and Packages.mp4 |
1.66MB |
| 3. Modules and Packages.vtt |
1.19KB |
| 3. Monte Carlo applied in a Corporate Finance context.mp4 |
4.10MB |
| 3. Monte Carlo applied in a Corporate Finance context.vtt |
2.63KB |
| 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 |
6.81KB |
| 3. Running a Regression in Python.mp4 |
10.03MB |
| 3. Running a Regression in Python.vtt |
6.64KB |
| 3. The Double Equality Sign.mp4 |
1.94MB |
| 3. The Double Equality Sign.vtt |
1.59KB |
| 3. Understanding and calculating a security's Beta.mp4 |
6.33MB |
| 3. Understanding and calculating a security's Beta.vtt |
4.60KB |
| 3. Using Methods.mp4 |
5.26MB |
| 3. Using Methods.vtt |
3.48KB |
| 3. What are we going to see next.mp4 |
4.06MB |
| 3. What are we going to see next.vtt |
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| 3. While Loops and Incrementing.mp4 |
4.79MB |
| 3. While Loops and Incrementing.vtt |
2.47KB |
| 3. Why Python.mp4 |
15.66MB |
| 3. Why Python.vtt |
6.10KB |
| 4.1 Create Lists with the range () Function - Resources.html |
134B |
| 4.1 Else If, for Brief - ELIF - Resources.html |
134B |
| 4.1 Obtaining the Efficient Frontier - Resources.html |
134B |
| 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 |
58.62KB |
| 4. Another Way to Define a Function.html |
164B |
| 4. Are all regressions created equal Learning how to distinguish good regressions.mp4 |
7.65MB |
| 4. Are all regressions created equal Learning how to distinguish good regressions.vtt |
5.33KB |
| 4. Beta - Quiz.html |
163B |
| 4. Calculating a security's rate of return.mp4 |
8.38MB |
| 4. Calculating a security's rate of return.vtt |
5.90KB |
| 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 |
5.79KB |
| 4. Logical and Identity Operators.html |
163B |
| 4. Modules - Quiz.html |
163B |
| 4. Monte Carlo in Corporate Finance - Quiz.html |
163B |
| 4. Numbers and Boolean Values.html |
163B |
| 4. Obtaining the Efficient Frontier in Python – Part II.mp4 |
11.60MB |
| 4. Obtaining the Efficient Frontier in Python – Part II.vtt |
5.16KB |
| 4. The benefits of portfolio diversification.mp4 |
5.75MB |
| 4. The benefits of portfolio diversification.vtt |
4.11KB |
| 4. The Double Equality Sign.html |
163B |
| 4. Using Methods.html |
163B |
| 4. Why Python.html |
163B |
| 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 |
134B |
| 5.1 Obtaining the Efficient Frontier - Resources.html |
134B |
| 5.1 Reassign Values - Resources.html |
134B |
| 5.1 Strings - Resources.html |
134B |
| 5.1 Using a Function in another Function - Resources.html |
134B |
| 5.2 Calculating the Beta of a Stock - Resources.html |
134B |
| 5.2 Markowitz_Data.csv.csv |
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| 5. A Note on Boolean values.mp4 |
3.28MB |
| 5. A Note on Boolean values.vtt |
2.50KB |
| 5. Calculating a security's rate of return.html |
163B |
| 5. Calculating the Beta of a Stock.mp4 |
6.32MB |
| 5. Calculating the Beta of a Stock.vtt |
3.71KB |
| 5. Create Lists with the range() Function.html |
163B |
| 5. Investing in stocks - Quiz.html |
163B |
| 5. List Slicing.mp4 |
7.35MB |
| 5. List Slicing.vtt |
4.78KB |
| 5. Monte Carlo Predicting Gross Profit – Part I.mp4 |
13.03MB |
| 5. Monte Carlo Predicting Gross Profit – Part I.vtt |
6.12KB |
| 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 |
163B |
| 5. Strings.mp4 |
9.07MB |
| 5. Strings.vtt |
7.41KB |
| 5. The Standard Library.mp4 |
3.98MB |
| 5. The Standard Library.vtt |
3.18KB |
| 5. Using a Function in another Function.mp4 |
2.29MB |
| 5. Using a Function in another Function.vtt |
1.78KB |
| 5. Why Jupyter.mp4 |
9.86MB |
| 5. Why Jupyter.vtt |
4.09KB |
| 6.1 Combining Conditional Statements and Functions - Resources.html |
134B |
| 6.1 Computing Alpha, Beta, and R squared in Python - Resources.html |
134B |
| 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 |
134B |
| 6.1 Use Conditional Statements and Loops Together - Resources.html |
134B |
| 6.2 Housing.xlsx.xlsx |
10.04KB |
| 6. A Note on Boolean Values.html |
163B |
| 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 |
5.58KB |
| 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 |
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| 6. The CAPM formula.mp4 |
6.09MB |
| 6. The CAPM formula.vtt |
4.76KB |
| 6. The Standard Library - Quiz.html |
163B |
| 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 |
163B |
| 7.1 Add Comments - Resources.html |
134B |
| 7.1 All In - Conditional Statements, Functions, and Loops - Resources.html |
134B |
| 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 |
134B |
| 7. Add Comments.mp4 |
1.74MB |
| 7. Add Comments.vtt |
1.52KB |
| 7. All In – Conditional Statements, Functions, and Loops.mp4 |
2.85MB |
| 7. All In – Conditional Statements, Functions, and Loops.vtt |
2.07KB |
| 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 |
163B |
| 7. Covariance - Quiz.html |
163B |
| 7. Creating Functions Containing a Few Arguments.mp4 |
1.80MB |
| 7. Creating Functions Containing a Few Arguments.vtt |
1.13KB |
| 7. Dictionaries.mp4 |
6.01MB |
| 7. Dictionaries.vtt |
3.61KB |
| 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 |
4.38KB |
| 7. Installing Python and Jupyter.mp4 |
54.43MB |
| 7. Installing Python and Jupyter.vtt |
6.23KB |
| 8.1 Calculating the Expected Return of a Stock - Resources.html |
134B |
| 8.1 Iterating over Dictionaries - Resources.html |
134B |
| 8.1 Logarithmic Returns - Resources.html |
134B |
| 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 |
40.72KB |
| 8. Add Comments.html |
163B |
| 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 |
2.54KB |
| 8. Dictionaries.html |
163B |
| 8. Importing Modules - Quiz.html |
163B |
| 8. Iterating over Dictionaries.mp4 |
4.62MB |
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3.40KB |
| 8. Jupyter’s Interface – the Dashboard.mp4 |
4.30MB |
| 8. Jupyter’s Interface – the Dashboard.vtt |
3.25KB |
| 8. Measuring the correlation between stocks.mp4 |
5.68MB |
| 8. Measuring the correlation between stocks.vtt |
4.24KB |
| 8. Monte Carlo Simulations - Quiz.html |
163B |
| 8. Notable Built-in Functions in Python.mp4 |
5.83MB |
| 8. Notable Built-in Functions in Python.vtt |
3.65KB |
| 9.1 47 Packages Exercise.pdf.pdf |
256.13KB |
| 9.1 Forecasting Stock Prices - Resources.html |
134B |
| 9.1 Jupyter_Shortcuts.pdf.pdf |
589.59KB |
| 9.1 Line Continuation - Resources.html |
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| 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 |
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| 9. Functions.html |
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| 9. Introducing the Sharpe ratio and how to put it into practice.mp4 |
3.63MB |
| 9. Introducing the Sharpe ratio and how to put it into practice.vtt |
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| 9. Jupyter’s Interface – Prerequisites for Coding.mp4 |
12.31MB |
| 9. Jupyter’s Interface – Prerequisites for Coding.vtt |
6.76KB |
| 9. Line Continuation.mp4 |
1007.08KB |
| 9. Line Continuation.vtt |
999B |
| 9. Monte Carlo Forecasting Stock Prices - Part I.mp4 |
5.91MB |
| 9. Monte Carlo Forecasting Stock Prices - Part I.vtt |
3.74KB |
| 9. Must-have packages for Finance and Data Science.mp4 |
8.63MB |
| 9. Must-have packages for Finance and Data Science.vtt |
5.00KB |
| 9. What is a portfolio of securities and how to calculate its rate of return.mp4 |
4.33MB |
| 9. What is a portfolio of securities and how to calculate its rate of return.vtt |
2.64KB |
| GetFreeCourses.Me.url |
116B |
| How you can help GetFreeCourses.Me.txt |
182B |