[FreeCourseLab.com] Udemy - Python for Finance Investment Fundamentals & Data Analytics

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[FreeCourseLab.com] Udemy - Python for Finance Investment Fundamentals & Data Analytics

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文件大小：1017.02M
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收录时间：2021-05-20
最近下载：2024-11-30

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文件列表

  • 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
  • 1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp4 8.6 MB
  • 6. Conditional Statements/4. Else if, for Brief – ELIF.mp4 8.5 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
  • 10. Advanced Python tools/1. Object Oriented Programming.mp4 7.2 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 6.8 MB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/7. Forecasting Stock Prices with a Monte Carlo Simulation.mp4 6.7 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8. Calculating a Security’s Return in Python – Logarithmic Returns.mp4 6.7 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/3. Understanding and calculating a security's Beta.mp4 6.6 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/5. Calculating the Beta of a Stock.mp4 6.6 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1. Considering both risk and return.mp4 6.5 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/6. The CAPM formula.mp4 6.4 MB
  • 8. Python Sequences/1. Lists.mp4 6.3 MB
  • 8. Python Sequences/7. Dictionaries.mp4 6.3 MB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/9. Monte Carlo Forecasting Stock Prices - Part I.mp4 6.2 MB
  • 10. Advanced Python tools/7. Importing Modules.mp4 6.2 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
  • 8. Python Sequences/3. Using Methods.mp4 5.5 MB
  • 4. Basic Python Syntax/1. Arithmetic Operators.mp4 5.3 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
  • 5. Python Operators Continued/1. Comparison Operators.mp4 3.0 MB
  • 9. Using Iterations in Python/7. All In – Conditional Statements, Functions, and Loops.mp4 3.0 MB
  • 7. Python Functions/1. Defining a Function in Python.mp4 2.7 MB
  • 7. Python Functions/5. Using a Function in another Function.mp4 2.4 MB
  • 2. Introduction to programming with Python/11.1 Python for Finance - Course Notes - Part I.pdf.pdf 2.4 MB
  • 2. Introduction to programming with Python/1.1 Python for Finance - Course Notes - Part I.pdf.pdf 2.4 MB
  • 4. Basic Python Syntax/12. Structure Your Code with Indentation.mp4 2.3 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/11. Obtaining the Sharpe ratio in Python.mp4 2.2 MB
  • 4. Basic Python Syntax/3. The Double Equality Sign.mp4 2.0 MB
  • 4. Basic Python Syntax/10. Indexing Elements.mp4 1.9 MB
  • 7. Python Functions/7. Creating Functions Containing a Few Arguments.mp4 1.9 MB
  • 4. Basic Python Syntax/7. Add Comments.mp4 1.8 MB
  • 10. Advanced Python tools/3. Modules and Packages.mp4 1.7 MB
  • 4. Basic Python Syntax/5. Reassign Values.mp4 1.5 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 12. PART II Finance Measuring Investment Risk/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 12. PART II Finance Measuring Investment Risk/11.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 12. PART II Finance Measuring Investment Risk/13.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 12. PART II Finance Measuring Investment Risk/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 12. PART II Finance Measuring Investment Risk/6.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 12. PART II Finance Measuring Investment Risk/8.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 13. PART II Finance - Using Regressions for Financial Analysis/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 13. PART II Finance - Using Regressions for Financial Analysis/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 14. PART II Finance - Markowitz Portfolio Optimization/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/6.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 15. Part II Finance - The Capital Asset Pricing Model/9.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 16. Part II Finance Multivariate regression analysis/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/1.2 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/14.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.4 MB
  • 4. Basic Python Syntax/9. Line Continuation.mp4 1.0 MB
  • 2. Introduction to programming with Python/9.1 Jupyter_Shortcuts.pdf.pdf 603.7 kB
  • 10. Advanced Python tools/9.1 47 Packages Exercise.pdf.pdf 262.3 kB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.3 Indices_Data_1.csv.csv 238.5 kB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.1 Indices_Data_2.csv.csv 114.9 kB
  • 14. PART II Finance - Markowitz Portfolio Optimization/3.2 Markowitz_Data.csv.csv 60.0 kB
  • 14. PART II Finance - Markowitz Portfolio Optimization/4.1 Markowitz_Data.csv.csv 60.0 kB
  • 14. PART II Finance - Markowitz Portfolio Optimization/5.1 Markowitz_Data.csv.csv 60.0 kB
  • 15. Part II Finance - The Capital Asset Pricing Model/11.2 CAPM_Data.csv.csv 41.7 kB
  • 15. Part II Finance - The Capital Asset Pricing Model/5.2 CAPM_Data.csv.csv 41.7 kB
  • 15. Part II Finance - The Capital Asset Pricing Model/8.2 CAPM_Data.csv.csv 41.7 kB
  • 14. PART II Finance - Markowitz Portfolio Optimization/1.2 14. Markowitz Efficient frontier.xlsx.xlsx 15.9 kB
  • 13. PART II Finance - Using Regressions for Financial Analysis/1.2 Housing Data.xlsx.xlsx 14.8 kB
  • 13. PART II Finance - Using Regressions for Financial Analysis/3.2 Housing.xlsx.xlsx 10.3 kB
  • 13. PART II Finance - Using Regressions for Financial Analysis/6.2 Housing.xlsx.xlsx 10.3 kB
  • 16. Part II Finance Multivariate regression analysis/3.1 Housing.xlsx.xlsx 10.3 kB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.vtt 8.6 kB
  • 3. Python Variables and Data Types/5. Strings.vtt 7.6 kB
  • 10. Advanced Python tools/14. Sources of Financial Data.vtt 7.6 kB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.vtt 7.3 kB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.vtt 7.2 kB
  • 16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.vtt 7.0 kB
  • 2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.vtt 6.9 kB
  • 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.vtt 6.8 kB
  • 13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.vtt 6.8 kB
  • 14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.vtt 6.8 kB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.vtt 6.7 kB
  • 12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.vtt 6.6 kB
  • 1. Welcome! Course Introduction/1. What Does the Course Cover.vtt 6.5 kB
  • 2. Introduction to programming with Python/7. Installing Python and Jupyter.vtt 6.4 kB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.vtt 6.3 kB
  • 12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.vtt 6.3 kB
  • 2. Introduction to programming with Python/3. Why Python.vtt 6.2 kB
  • 2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.vtt 6.2 kB
  • 16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.vtt 6.2 kB
  • 10. Advanced Python tools/11. Working with arrays.vtt 6.2 kB
  • 13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.vtt 6.1 kB
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.vtt 6.0 kB
  • 6. Conditional Statements/4. Else if, for Brief – ELIF.vtt 5.9 kB
  • 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
  • 10. Advanced Python tools/1. Object Oriented Programming.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
  • 10. Advanced Python tools/7. Importing Modules.vtt 4.5 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
  • 8. Python Sequences/7. Dictionaries.vtt 3.7 kB
  • 4. Basic Python Syntax/1. Arithmetic Operators.vtt 3.7 kB
  • 12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.vtt 3.6 kB
  • 8. Python Sequences/3. Using Methods.vtt 3.6 kB
  • 9. Using Iterations in Python/8. Iterating over Dictionaries.vtt 3.5 kB
  • 2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.vtt 3.3 kB
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/6. Monte Carlo Predicting Gross Profit – Part II.vtt 3.3 kB
  • 1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.vtt 3.3 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
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  • 6. Conditional Statements/3. Add an ELSE statement.vtt 2.5 kB
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  • 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
  • 5. Python Operators Continued/1. Comparison Operators.vtt 2.2 kB
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  • 4. Basic Python Syntax/10. Indexing Elements.vtt 1.5 kB
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  • 4. Basic Python Syntax/5. Reassign Values.vtt 1.2 kB
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  • 4. Basic Python Syntax/9. Line Continuation.vtt 999 Bytes
  • 10. Advanced Python tools/9.2 Must-have Packages for Finance and Data Science - exercise.html 181 Bytes
  • 7. Python Functions/4. Another Way to Define a Function.html 164 Bytes
  • 10. Advanced Python tools/10. Must-have packages - Quiz.html 163 Bytes
  • 10. Advanced Python tools/2. Object Oriented Programming - Quiz.html 163 Bytes
  • 10. Advanced Python tools/4. Modules - Quiz.html 163 Bytes
  • 10. Advanced Python tools/6. The Standard Library - Quiz.html 163 Bytes
  • 10. Advanced Python tools/8. Importing Modules - Quiz.html 163 Bytes
  • 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
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  • 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
  • 4. Basic Python Syntax/11. Indexing Elements.html 163 Bytes
  • 4. Basic Python Syntax/13. Structure Your Code with Indentation.html 163 Bytes
  • 4. Basic Python Syntax/2. Arithmetic Operators.html 163 Bytes
  • 4. Basic Python Syntax/4. The Double Equality Sign.html 163 Bytes
  • 4. Basic Python Syntax/6. Reassign values.html 163 Bytes
  • 4. Basic Python Syntax/8. Add Comments.html 163 Bytes
  • 5. Python Operators Continued/2. Comparison Operators.html 163 Bytes
  • 5. Python Operators Continued/4. Logical and Identity Operators.html 163 Bytes
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  • 7. Python Functions/9. Functions.html 163 Bytes
  • 8. Python Sequences/2. Lists.html 163 Bytes
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  • 9. Using Iterations in Python/2. For Loops.html 163 Bytes
  • 9. Using Iterations in Python/5. Create Lists with the range() Function.html 163 Bytes
  • 1. Welcome! Course Introduction/2.1 Course Resources - Complete Package.html 134 Bytes
  • 10. Advanced Python tools/11.1 Working with Arrays - Resources.html 134 Bytes
  • 10. Advanced Python tools/12.1 Generating Random Numbers - Resources.html 134 Bytes
  • 10. Advanced Python tools/16.1 Importing and Organizing Data in Python - Resources.html 134 Bytes
  • 10. Advanced Python tools/17.1 Importing and Organizing Data in Python - Resources.html 134 Bytes
  • 10. Advanced Python tools/18.1 Importing Modules - Resources.html 134 Bytes
  • 10. Advanced Python tools/19.1 Importing and Organizing Data in Python - Resources.html 134 Bytes
  • 10. Advanced Python tools/7.1 Importing and Organizing Data in Python – Resources.html 134 Bytes
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11.1 Calculating the Rate of Return of a Portfolio - Resources.html 134 Bytes
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.2 Calculating the Return of Indices - Resources.html 134 Bytes
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6.1 Simple Returns Part 1 - Resources.html 134 Bytes
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/7.1 Simple Returns Part 2 - Resources.html 134 Bytes
  • 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8.1 Logarithmic Returns - Resources.html 134 Bytes
  • 12. PART II Finance Measuring Investment Risk/10.1 Calculating Covariance and Correlation - Resources.html 134 Bytes
  • 12. PART II Finance Measuring Investment Risk/12.1 Calculating Portfolio Risk - Resources.html 134 Bytes
  • 12. PART II Finance Measuring Investment Risk/15.1 Calculating Diversifiable and Non-Diversifiable Risk - Resources.html 134 Bytes
  • 12. PART II Finance Measuring Investment Risk/3.1 Calculating a Security's Risk in Python - Resources.html 134 Bytes
  • 13. PART II Finance - Using Regressions for Financial Analysis/3.1 Running a Regression in Python - Resources.html 134 Bytes
  • 13. PART II Finance - Using Regressions for Financial Analysis/6.1 Computing Alpha, Beta, and R squared in Python - Resources.html 134 Bytes
  • 14. PART II Finance - Markowitz Portfolio Optimization/3.1 Obtaining the Efficient Frontier in Python - Resources.html 134 Bytes
  • 14. PART II Finance - Markowitz Portfolio Optimization/4.2 Obtaining the Efficient Frontier - Resources.html 134 Bytes
  • 14. PART II Finance - Markowitz Portfolio Optimization/5.2 Obtaining the Efficient Frontier - Resources.html 134 Bytes
  • 15. Part II Finance - The Capital Asset Pricing Model/11.1 Obtaining the Sharpe ratio in Python - Resources.html 134 Bytes
  • 15. Part II Finance - The Capital Asset Pricing Model/5.1 Calculating the Beta of a Stock - Resources.html 134 Bytes
  • 15. Part II Finance - The Capital Asset Pricing Model/8.1 Calculating the Expected Return of a Stock - Resources.html 134 Bytes
  • 16. Part II Finance Multivariate regression analysis/3.2 Running a Multivariate Regression in Python - Resources.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/1.1 The essence of Monte Carlo simulations - Resources.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/10.1 MC - Predicting Stock Prices - Part II.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/11.1 MC - Predicting Stock Prices - Part III.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15.1 Black-Scholes-Merton - Resources.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17.1 Euler Discretization - Resources.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/18.1 Euler DIscretization - Part II.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5.1 Monte Carlo Gross Profit - Resources.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/6.1 Monte Carlo Gross Profit Part II - Resources.html 134 Bytes
  • 17. PART II Finance - Monte Carlo simulations as a decision-making tool/9.1 Forecasting Stock Prices - Resources.html 134 Bytes
  • 3. Python Variables and Data Types/1.1 Variables - Resources.html 134 Bytes
  • 3. Python Variables and Data Types/3.1 Numbers and Boolean Values - Resources.html 134 Bytes
  • 3. Python Variables and Data Types/5.1 Strings - Resources.html 134 Bytes
  • 4. Basic Python Syntax/1.1 Arithmetic Operators - Resources.html 134 Bytes
  • 4. Basic Python Syntax/10.1 Indexing Elements - Resources.html 134 Bytes
  • 4. Basic Python Syntax/12.1 Structure Your Code with Indentation - Resources.html 134 Bytes
  • 4. Basic Python Syntax/3.1 The Double Equality Sign - Resources.html 134 Bytes
  • 4. Basic Python Syntax/5.1 Reassign Values - Resources.html 134 Bytes
  • 4. Basic Python Syntax/7.1 Add Comments - Resources.html 134 Bytes
  • 4. Basic Python Syntax/9.1 Line Continuation - Resources.html 134 Bytes
  • 5. Python Operators Continued/1.1 Comparison Operators - Resources.html 134 Bytes
  • 5. Python Operators Continued/3.1 Logical and Identity Operators - Resources.html 134 Bytes
  • 6. Conditional Statements/1.1 Introduction to the IF statement - Resources.html 134 Bytes
  • 6. Conditional Statements/3.1 Add an ELSE statement - Resources.html 134 Bytes
  • 6. Conditional Statements/4.1 Else If, for Brief - ELIF - Resources.html 134 Bytes
  • 6. Conditional Statements/5.1 A Note on Boolean values - Resources.html 134 Bytes
  • 7. Python Functions/1.1 Defining a Function in Python - Resources.html 134 Bytes
  • 7. Python Functions/2.1 Creating a Function with a Parameter - Resources.html 134 Bytes
  • 7. Python Functions/5.1 Using a Function in another Function - Resources.html 134 Bytes
  • 7. Python Functions/6.1 Combining Conditional Statements and Functions - Resources.html 134 Bytes
  • 7. Python Functions/8.1 Notable Built-in Functions in Python - Resources.html 134 Bytes
  • 8. Python Sequences/1.1 Lists - Resources.html 134 Bytes
  • 8. Python Sequences/3.1 Methods - Resources.html 134 Bytes
  • 8. Python Sequences/5.1 List Slicing - Resources.html 134 Bytes
  • 8. Python Sequences/6.1 Tuples - Resources.html 134 Bytes
  • 8. Python Sequences/7.1 Dictionaries - Resources.html 134 Bytes
  • 9. Using Iterations in Python/1.1 For Loops - Resources.html 134 Bytes
  • 9. Using Iterations in Python/3.1 While Loops and Incrementing - Resources.html 134 Bytes
  • 9. Using Iterations in Python/4.1 Create Lists with the range () Function - Resources.html 134 Bytes
  • 9. Using Iterations in Python/6.1 Use Conditional Statements and Loops Together - Resources.html 134 Bytes
  • 9. Using Iterations in Python/7.1 All In - Conditional Statements, Functions, and Loops - Resources.html 134 Bytes
  • 9. Using Iterations in Python/8.1 Iterating over Dictionaries - Resources.html 134 Bytes
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