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

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  • 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 67.4 MB
    2. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 54.44 MB
    10. Advanced Python tools/14. Sources of Financial Data.mp4 43.62 MB
    10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 36.83 MB
    3. Python Variables and Data Types/1. Variables.mp4 26.61 MB
    10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.vtt 25.21 MB
    10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 25.2 MB
    10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 18.81 MB
    2. Introduction to programming with Python/3. Why Python.mp4 15.66 MB
    16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 15.39 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.13 MB
    2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 14.9 MB
    2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 13.58 MB
    1. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13.06 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.03 MB
    2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.31 MB
    14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 11.6 MB
    14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 10.83 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 10.82 MB
    12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 10.77 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 10.56 MB
    10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp4 10.19 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.mp4 10.18 MB
    13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.mp4 10.04 MB
    13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.mp4 10.03 MB
    10. Advanced Python tools/15. Accessing the Notebook Files.mp4 9.96 MB
    2. Introduction to programming with Python/5. Why Jupyter.mp4 9.86 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.mp4 9.36 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.mp4 9.31 MB
    12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp4 9.3 MB
    16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 9.23 MB
    3. Python Variables and Data Types/5. Strings.mp4 9.07 MB
    14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp4 8.8 MB
    10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp4 8.72 MB
    10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp4 8.63 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.mp4 8.38 MB
    12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp4 8.38 MB
    1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp4 8.21 MB
    6. Conditional Statements/4. Else if, for Brief – ELIF.mp4 8.15 MB
    10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp4 8.05 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.mp4 7.99 MB
    10. Advanced Python tools/11. Working with arrays.mp4 7.9 MB
    5. Python Operators Continued/3. Logical and Identity Operators.mp4 7.87 MB
    12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp4 7.74 MB
    13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.mp4 7.65 MB
    15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 7.53 MB
    8. Python Sequences/5. List Slicing.mp4 7.35 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.mp4 7.09 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.mp4 7.06 MB
    12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 7.04 MB
    10. Advanced Python tools/1. Object Oriented Programming.mp4 6.89 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 6.46 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/7. Forecasting Stock Prices with a Monte Carlo Simulation.mp4 6.43 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8. Calculating a Security’s Return in Python – Logarithmic Returns.mp4 6.37 MB
    15. Part II Finance - The Capital Asset Pricing Model/3. Understanding and calculating a security's Beta.mp4 6.33 MB
    15. Part II Finance - The Capital Asset Pricing Model/5. Calculating the Beta of a Stock.mp4 6.32 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1. Considering both risk and return.mp4 6.18 MB
    15. Part II Finance - The Capital Asset Pricing Model/6. The CAPM formula.mp4 6.09 MB
    8. Python Sequences/1. Lists.mp4 6.01 MB
    8. Python Sequences/7. Dictionaries.mp4 6.01 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/9. Monte Carlo Forecasting Stock Prices - Part I.mp4 5.92 MB
    10. Advanced Python tools/7. Importing Modules.mp4 5.9 MB
    12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.mp4 5.88 MB
    7. Python Functions/8. Notable Built-in Functions in Python.mp4 5.82 MB
    7. Python Functions/2. Creating a Function with a Parameter.mp4 5.79 MB
    12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.mp4 5.74 MB
    12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.mp4 5.68 MB
    13. PART II Finance - Using Regressions for Financial Analysis/1. The fundamentals of simple regression analysis.mp4 5.62 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 5.58 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 5.48 MB
    8. Python Sequences/3. Using Methods.mp4 5.27 MB
    4. Basic Python Syntax/1. Arithmetic Operators.mp4 5.01 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/6. Monte Carlo Predicting Gross Profit – Part II.mp4 4.85 MB
    12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.mp4 4.83 MB
    9. Using Iterations in Python/3. While Loops and Incrementing.mp4 4.79 MB
    9. Using Iterations in Python/8. Iterating over Dictionaries.mp4 4.62 MB
    9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.mp4 4.49 MB
    3. Python Variables and Data Types/3. Numbers and Boolean Values.mp4 4.45 MB
    12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.mp4 4.39 MB
    7. Python Functions/6. Combining Conditional Statements and Functions.mp4 4.34 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 4.32 MB
    2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.mp4 4.29 MB
    8. Python Sequences/6. Tuples.mp4 4.2 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/3. Monte Carlo applied in a Corporate Finance context.mp4 4.11 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/1. The essence of Monte Carlo simulations.mp4 4.06 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3. What are we going to see next.mp4 4.06 MB
    6. Conditional Statements/1. Introduction to the IF statement.mp4 4.06 MB
    10. Advanced Python tools/5. The Standard Library.mp4 3.99 MB
    15. Part II Finance - The Capital Asset Pricing Model/8. Calculating the Expected Return of a Stock (CAPM).mp4 3.98 MB
    10. Advanced Python tools/12. Generating Random Numbers.mp4 3.86 MB
    14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.mp4 3.75 MB
    7. Python Functions/3. Another Way to Define a Function.mp4 3.66 MB
    6. Conditional Statements/3. Add an ELSE statement.mp4 3.63 MB
    15. Part II Finance - The Capital Asset Pricing Model/9. Introducing the Sharpe ratio and how to put it into practice.mp4 3.63 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/18. Monte Carlo Euler Discretization - Part II.mp4 3.56 MB
    9. Using Iterations in Python/1. For Loops.mp4 3.43 MB
    9. Using Iterations in Python/4. Create Lists with the range() Function.mp4 3.29 MB
    6. Conditional Statements/5. A Note on Boolean values.mp4 3.28 MB
    5. Python Operators Continued/1. Comparison Operators.mp4 2.9 MB
    9. Using Iterations in Python/7. All In – Conditional Statements, Functions, and Loops.mp4 2.86 MB
    7. Python Functions/1. Defining a Function in Python.mp4 2.55 MB
    7. Python Functions/5. Using a Function in another Function.mp4 2.29 MB
    2. Introduction to programming with Python/11.1 Python for Finance - Course Notes - Part I.pdf.pdf 2.27 MB
    2. Introduction to programming with Python/1.1 Python for Finance - Course Notes - Part I.pdf.pdf 2.24 MB
    4. Basic Python Syntax/12. Structure Your Code with Indentation.mp4 2.21 MB
    15. Part II Finance - The Capital Asset Pricing Model/11. Obtaining the Sharpe ratio in Python.mp4 2.07 MB
    4. Basic Python Syntax/3. The Double Equality Sign.mp4 1.94 MB
    4. Basic Python Syntax/10. Indexing Elements.mp4 1.83 MB
    7. Python Functions/7. Creating Functions Containing a Few Arguments.mp4 1.8 MB
    4. Basic Python Syntax/7. Add Comments.mp4 1.74 MB
    10. Advanced Python tools/3. Modules and Packages.mp4 1.66 MB
    4. Basic Python Syntax/5. Reassign Values.mp4 1.43 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    12. PART II Finance Measuring Investment Risk/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    12. PART II Finance Measuring Investment Risk/11.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    12. PART II Finance Measuring Investment Risk/13.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    12. PART II Finance Measuring Investment Risk/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    12. PART II Finance Measuring Investment Risk/6.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    12. PART II Finance Measuring Investment Risk/8.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    13. PART II Finance - Using Regressions for Financial Analysis/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    13. PART II Finance - Using Regressions for Financial Analysis/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    14. PART II Finance - Markowitz Portfolio Optimization/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    15. Part II Finance - The Capital Asset Pricing Model/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    15. Part II Finance - The Capital Asset Pricing Model/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    15. Part II Finance - The Capital Asset Pricing Model/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    15. Part II Finance - The Capital Asset Pricing Model/6.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    15. Part II Finance - The Capital Asset Pricing Model/9.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    16. Part II Finance Multivariate regression analysis/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/1.2 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/14.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.36 MB
    4. Basic Python Syntax/9. Line Continuation.mp4 1007.08 KB
    2. Introduction to programming with Python/9.1 Jupyter_Shortcuts.pdf.pdf 589.59 KB
    10. Advanced Python tools/9.1 47 Packages Exercise.pdf.pdf 256.13 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.3 Indices_Data_1.csv.csv 232.89 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.1 Indices_Data_2.csv.csv 112.19 KB
    14. PART II Finance - Markowitz Portfolio Optimization/3.2 Markowitz_Data.csv.csv 58.62 KB
    14. PART II Finance - Markowitz Portfolio Optimization/4.1 Markowitz_Data.csv.csv 58.62 KB
    14. PART II Finance - Markowitz Portfolio Optimization/5.1 Markowitz_Data.csv.csv 58.62 KB
    15. Part II Finance - The Capital Asset Pricing Model/11.2 CAPM_Data.csv.csv 40.72 KB
    15. Part II Finance - The Capital Asset Pricing Model/5.2 CAPM_Data.csv.csv 40.72 KB
    15. Part II Finance - The Capital Asset Pricing Model/8.2 CAPM_Data.csv.csv 40.72 KB
    14. PART II Finance - Markowitz Portfolio Optimization/1.2 14. Markowitz Efficient frontier.xlsx.xlsx 15.49 KB
    13. PART II Finance - Using Regressions for Financial Analysis/1.2 Housing Data.xlsx.xlsx 14.44 KB
    13. PART II Finance - Using Regressions for Financial Analysis/3.2 Housing.xlsx.xlsx 10.04 KB
    13. PART II Finance - Using Regressions for Financial Analysis/6.2 Housing.xlsx.xlsx 10.04 KB
    16. Part II Finance Multivariate regression analysis/3.1 Housing.xlsx.xlsx 10.04 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.vtt 8.39 KB
    3. Python Variables and Data Types/5. Strings.vtt 7.41 KB
    10. Advanced Python tools/14. Sources of Financial Data.vtt 7.38 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.vtt 7.13 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.vtt 6.99 KB
    16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.vtt 6.81 KB
    2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.vtt 6.76 KB
    10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.vtt 6.65 KB
    13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.vtt 6.64 KB
    14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.vtt 6.64 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.vtt 6.56 KB
    12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.vtt 6.48 KB
    1. Welcome! Course Introduction/1. What Does the Course Cover.vtt 6.32 KB
    2. Introduction to programming with Python/7. Installing Python and Jupyter.vtt 6.23 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.vtt 6.12 KB
    12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.vtt 6.11 KB
    2. Introduction to programming with Python/3. Why Python.vtt 6.1 KB
    2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.vtt 6.08 KB
    16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.vtt 6.04 KB
    10. Advanced Python tools/11. Working with arrays.vtt 6.01 KB
    13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.vtt 5.95 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.vtt 5.9 KB
    6. Conditional Statements/4. Else if, for Brief – ELIF.vtt 5.79 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 5.58 KB
    15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).vtt 5.38 KB
    3. Python Variables and Data Types/1. Variables.vtt 5.35 KB
    10. Advanced Python tools/1. Object Oriented Programming.vtt 5.34 KB
    13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.vtt 5.33 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.vtt 5.29 KB
    14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.vtt 5.28 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.vtt 5.25 KB
    14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.vtt 5.16 KB
    12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.vtt 5.06 KB
    10. Advanced Python tools/9. Must-have packages for Finance and Data Science.vtt 5 KB
    5. Python Operators Continued/3. Logical and Identity Operators.vtt 4.92 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.vtt 4.78 KB
    8. Python Sequences/5. List Slicing.vtt 4.78 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/7. Forecasting Stock Prices with a Monte Carlo Simulation.vtt 4.77 KB
    15. Part II Finance - The Capital Asset Pricing Model/6. The CAPM formula.vtt 4.76 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 4.69 KB
    15. Part II Finance - The Capital Asset Pricing Model/3. Understanding and calculating a security's Beta.vtt 4.6 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.vtt 4.49 KB
    10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.vtt 4.46 KB
    10. Advanced Python tools/7. Importing Modules.vtt 4.38 KB
    12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.vtt 4.31 KB
    12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.vtt 4.24 KB
    8. Python Sequences/1. Lists.vtt 4.23 KB
    13. PART II Finance - Using Regressions for Financial Analysis/1. The fundamentals of simple regression analysis.vtt 4.13 KB
    12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.vtt 4.11 KB
    2. Introduction to programming with Python/5. Why Jupyter.vtt 4.09 KB
    10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.vtt 3.93 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8. Calculating a Security’s Return in Python – Logarithmic Returns.vtt 3.86 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 3.81 KB
    12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.vtt 3.8 KB
    7. Python Functions/2. Creating a Function with a Parameter.vtt 3.76 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/9. Monte Carlo Forecasting Stock Prices - Part I.vtt 3.74 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 3.74 KB
    15. Part II Finance - The Capital Asset Pricing Model/5. Calculating the Beta of a Stock.vtt 3.71 KB
    7. Python Functions/8. Notable Built-in Functions in Python.vtt 3.65 KB
    8. Python Sequences/7. Dictionaries.vtt 3.61 KB
    4. Basic Python Syntax/1. Arithmetic Operators.vtt 3.61 KB
    12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.vtt 3.52 KB
    8. Python Sequences/3. Using Methods.vtt 3.48 KB
    9. Using Iterations in Python/8. Iterating over Dictionaries.vtt 3.4 KB
    2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.vtt 3.25 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/6. Monte Carlo Predicting Gross Profit – Part II.vtt 3.22 KB
    1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.vtt 3.21 KB
    10. Advanced Python tools/5. The Standard Library.vtt 3.18 KB
    12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.vtt 3.15 KB
    9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.vtt 3.15 KB
    10. Advanced Python tools/13. A Note on Using Financial Data in Python.vtt 3.14 KB
    3. Python Variables and Data Types/3. Numbers and Boolean Values.vtt 3.14 KB
    6. Conditional Statements/1. Introduction to the IF statement.vtt 3.12 KB
    2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.vtt 3.1 KB
    7. Python Functions/6. Combining Conditional Statements and Functions.vtt 3.08 KB
    10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.vtt 3.05 KB
    8. Python Sequences/6. Tuples.vtt 2.99 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3. What are we going to see next.vtt 2.86 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/1. The essence of Monte Carlo simulations.vtt 2.84 KB
    10. Advanced Python tools/12. Generating Random Numbers.vtt 2.75 KB
    10. Advanced Python tools/15. Accessing the Notebook Files.vtt 2.7 KB
    7. Python Functions/3. Another Way to Define a Function.vtt 2.7 KB
    15. Part II Finance - The Capital Asset Pricing Model/9. Introducing the Sharpe ratio and how to put it into practice.vtt 2.66 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 2.64 KB
    12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.vtt 2.64 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/3. Monte Carlo applied in a Corporate Finance context.vtt 2.63 KB
    15. Part II Finance - The Capital Asset Pricing Model/8. Calculating the Expected Return of a Stock (CAPM).vtt 2.54 KB
    11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1. Considering both risk and return.vtt 2.54 KB
    17. PART II Finance - Monte Carlo simulations as a decision-making tool/18. Monte Carlo Euler Discretization - Part II.vtt 2.51 KB
    6. Conditional Statements/5. A Note on Boolean values.vtt 2.5 KB
    6. Conditional Statements/3. Add an ELSE statement.vtt 2.48 KB
    9. Using Iterations in Python/1. For Loops.vtt 2.47 KB
    9. Using Iterations in Python/3. While Loops and Incrementing.vtt 2.47 KB
    9. Using Iterations in Python/4. Create Lists with the range() Function.vtt 2.47 KB
    10. Advanced Python tools/21. Restarting the Jupyter Kernel.vtt 2.43 KB
    18. BONUS LECTURE/1. Bonus Lecture Next Steps.html 2.4 KB
    14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.vtt 2.23 KB
    7. Python Functions/1. Defining a Function in Python.vtt 2.2 KB
    5. Python Operators Continued/1. Comparison Operators.vtt 2.14 KB
    9. Using Iterations in Python/7. All In – Conditional Statements, Functions, and Loops.vtt 2.07 KB
    4. Basic Python Syntax/12. Structure Your Code with Indentation.vtt 1.9 KB
    7. Python Functions/5. Using a Function in another Function.vtt 1.78 KB
    4. Basic Python Syntax/3. The Double Equality Sign.vtt 1.59 KB
    4. Basic Python Syntax/7. Add Comments.vtt 1.52 KB
    4. Basic Python Syntax/10. Indexing Elements.vtt 1.47 KB
    15. Part II Finance - The Capital Asset Pricing Model/11. Obtaining the Sharpe ratio in Python.vtt 1.43 KB
    10. Advanced Python tools/3. Modules and Packages.vtt 1.19 KB
    4. Basic Python Syntax/5. Reassign Values.vtt 1.13 KB
    7. Python Functions/7. Creating Functions Containing a Few Arguments.vtt 1.13 KB
    4. Basic Python Syntax/9. Line Continuation.vtt 999 B
    10. Advanced Python tools/9.2 Must-have Packages for Finance and Data Science - exercise.html 181 B
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