FreeCourseLab com Udemy Python for Finance Investment Fundamentals Data Analytics

/1. Welcome! Course Introduction/

1. What Does the Course Cover.mp4

1. What Does the Course Cover.vtt

2. Download Useful Resources - Exercises and Solutions.mp4

2. Download Useful Resources - Exercises and Solutions.vtt

2.1 Course Resources - Complete Package.html

/10. Advanced Python tools/

1. Object Oriented Programming.mp4

1. Object Oriented Programming.vtt

10. Must-have packages - Quiz.html

11. Working with arrays.mp4

11. Working with arrays.vtt

11.1 Working with Arrays - Resources.html

12. Generating Random Numbers.mp4

12. Generating Random Numbers.vtt

12.1 Generating Random Numbers - Resources.html

13. A Note on Using Financial Data in Python.mp4

13. A Note on Using Financial Data in Python.vtt

14. Sources of Financial Data.mp4

14. Sources of Financial Data.vtt

15. Accessing the Notebook Files.mp4

15. Accessing the Notebook Files.vtt

16. Importing and Organizing Data in Python – part I.mp4

16. Importing and Organizing Data in Python – part I.vtt

16.1 Importing and Organizing Data in Python - Resources.html

17. Importing and Organizing Data in Python – part II.A.mp4

17. Importing and Organizing Data in Python – part II.A.vtt

17.1 Importing and Organizing Data in Python - Resources.html

18. Importing and Organizing Data in Python – part II.B.mp4

18. Importing and Organizing Data in Python – part II.B.vtt

18.1 Importing Modules - Resources.html

19. Importing and Organizing Data in Python – part III.mp4

19. Importing and Organizing Data in Python – part III.vtt

19.1 Importing and Organizing Data in Python - Resources.html

2. Object Oriented Programming - Quiz.html

20. Changing the Index of Your Time-Series Data.mp4

20. Changing the Index of Your Time-Series Data.vtt

21. Restarting the Jupyter Kernel.mp4

21. Restarting the Jupyter Kernel.vtt

3. Modules and Packages.mp4

3. Modules and Packages.vtt

4. Modules - Quiz.html

5. The Standard Library.mp4

5. The Standard Library.vtt

6. The Standard Library - Quiz.html

7. Importing Modules.mp4

7. Importing Modules.vtt

7.1 Importing and Organizing Data in Python – Resources.html

8. Importing Modules - Quiz.html

9. Must-have packages for Finance and Data Science.mp4

9. Must-have packages for Finance and Data Science.vtt

9.1 47 Packages Exercise.pdf.pdf

9.2 Must-have Packages for Finance and Data Science - exercise.html

/11. PART II FINANCE Calculating and Comparing Rates of Return in Python/

1. Considering both risk and return.mp4

1. Considering both risk and return.vtt

1.1 Python for Finance Course Notes - Part II.pdf.pdf

10. What is a portfolio of securities and how to calculate its rate of return - Quiz.html

11. Calculating a Portfolio of Securities' Rate of Return.mp4

11. Calculating a Portfolio of Securities' Rate of Return.vtt

11.1 Calculating the Rate of Return of a Portfolio - Resources.html

12. Popular stock indices that can help us understand financial markets.mp4

12. Popular stock indices that can help us understand financial markets.vtt

12.1 Python for Finance Course Notes - Part II.pdf.pdf

13. Which of the following is not an index - Quiz.html

14. Calculating the Indices' Rate of Return.mp4

14. Calculating the Indices' Rate of Return.vtt

14.1 Indices_Data_2.csv.csv

14.2 Calculating the Return of Indices - Resources.html

14.3 Indices_Data_1.csv.csv

2. Risk and return - Quiz.html

3. What are we going to see next.mp4

3. What are we going to see next.vtt

3.1 Python for Finance Course Notes - Part II.pdf.pdf

4. Calculating a security's rate of return.mp4

4. Calculating a security's rate of return.vtt

4.1 Python for Finance Course Notes - Part II.pdf.pdf

5. Calculating a security's rate of return.html

6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4

6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.vtt

6.1 Simple Returns Part 1 - Resources.html

7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4

7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.vtt

7.1 Simple Returns Part 2 - Resources.html

8. Calculating a Security’s Return in Python – Logarithmic Returns.mp4

8. Calculating a Security’s Return in Python – Logarithmic Returns.vtt

8.1 Logarithmic Returns - Resources.html

9. What is a portfolio of securities and how to calculate its rate of return.mp4

9. What is a portfolio of securities and how to calculate its rate of return.vtt

9.1 Python for Finance Course Notes - Part II.pdf.pdf

/12. PART II Finance Measuring Investment Risk/

1. How do we measure a security's risk.mp4

1. How do we measure a security's risk.vtt

1.1 Python for Finance Course Notes - Part II.pdf.pdf

10. Calculating Covariance and Correlation.mp4

10. Calculating Covariance and Correlation.vtt

10.1 Calculating Covariance and Correlation - Resources.html

11. Considering the risk of multiple securities in a portfolio.mp4

11. Considering the risk of multiple securities in a portfolio.vtt

11.1 Python for Finance Course Notes - Part II.pdf.pdf

12. Calculating Portfolio Risk.mp4

12. Calculating Portfolio Risk.vtt

12.1 Calculating Portfolio Risk - Resources.html

13. Understanding Systematic vs. Idiosyncratic risk.mp4

13. Understanding Systematic vs. Idiosyncratic risk.vtt

13.1 Python for Finance Course Notes - Part II.pdf.pdf

14. Diversifiable Risk - Quiz.html

15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4

15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.vtt

15.1 Calculating Diversifiable and Non-Diversifiable Risk - Resources.html

2. Which of the following sentences is true - Quiz.html

3. Calculating a Security’s Risk in Python.mp4

3. Calculating a Security’s Risk in Python.vtt

3.1 Calculating a Security's Risk in Python - Resources.html

4. The benefits of portfolio diversification.mp4

4. The benefits of portfolio diversification.vtt

4.1 Python for Finance Course Notes - Part II.pdf.pdf

5. Investing in stocks - Quiz.html

6. Calculating the covariance between securities.mp4

6. Calculating the covariance between securities.vtt

6.1 Python for Finance Course Notes - Part II.pdf.pdf

7. Covariance - Quiz.html

8. Measuring the correlation between stocks.mp4

8. Measuring the correlation between stocks.vtt

8.1 Python for Finance Course Notes - Part II.pdf.pdf

9. Correlation - Quiz.html

/13. PART II Finance - Using Regressions for Financial Analysis/

1. The fundamentals of simple regression analysis.mp4

1. The fundamentals of simple regression analysis.vtt

1.1 Python for Finance Course Notes - Part II.pdf.pdf

1.2 Housing Data.xlsx.xlsx

2. Regressions - Quiz.html

3. Running a Regression in Python.mp4

3. Running a Regression in Python.vtt

3.1 Running a Regression in Python - Resources.html

3.2 Housing.xlsx.xlsx

4. Are all regressions created equal Learning how to distinguish good regressions.mp4

4. Are all regressions created equal Learning how to distinguish good regressions.vtt

4.1 Python for Finance Course Notes - Part II.pdf.pdf

5. Regressions - Quiz.html

6. Computing Alpha, Beta, and R Squared in Python.mp4

6. Computing Alpha, Beta, and R Squared in Python.vtt

6.1 Computing Alpha, Beta, and R squared in Python - Resources.html

6.2 Housing.xlsx.xlsx

/14. PART II Finance - Markowitz Portfolio Optimization/

1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4

1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.vtt

1.1 Python for Finance Course Notes - Part II.pdf.pdf

1.2 14. Markowitz Efficient frontier.xlsx.xlsx

2. Markowitz - Quiz.html

3. Obtaining the Efficient Frontier in Python – Part I.mp4

3. Obtaining the Efficient Frontier in Python – Part I.vtt

3.1 Obtaining the Efficient Frontier in Python - Resources.html

3.2 Markowitz_Data.csv.csv

4. Obtaining the Efficient Frontier in Python – Part II.mp4

4. Obtaining the Efficient Frontier in Python – Part II.vtt

4.1 Markowitz_Data.csv.csv

4.2 Obtaining the Efficient Frontier - Resources.html

5. Obtaining the Efficient Frontier in Python – Part III.mp4

5. Obtaining the Efficient Frontier in Python – Part III.vtt

5.1 Markowitz_Data.csv.csv

5.2 Obtaining the Efficient Frontier - Resources.html

/15. Part II Finance - The Capital Asset Pricing Model/

1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4

1. The intuition behind the Capital Asset Pricing Model (CAPM).vtt

1.1 Python for Finance Course Notes - Part II.pdf.pdf

10. Sharpe ratios - Quiz.html

11. Obtaining the Sharpe ratio in Python.mp4

11. Obtaining the Sharpe ratio in Python.vtt

11.1 Obtaining the Sharpe ratio in Python - Resources.html

11.2 CAPM_Data.csv.csv

12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4

12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.vtt

12.1 Python for Finance Course Notes - Part II.pdf.pdf

13. Alpha - Quiz.html

2. CAPM - Quiz.html

3. Understanding and calculating a security's Beta.mp4

3. Understanding and calculating a security's Beta.vtt

3.1 Python for Finance Course Notes - Part II.pdf.pdf

4. Beta - Quiz.html

5. Calculating the Beta of a Stock.mp4

5. Calculating the Beta of a Stock.vtt

5.1 Calculating the Beta of a Stock - Resources.html

5.2 CAPM_Data.csv.csv

6. The CAPM formula.mp4

6. The CAPM formula.vtt

6.1 Python for Finance Course Notes - Part II.pdf.pdf

7. CAPM - Quiz.html

8. Calculating the Expected Return of a Stock (CAPM).mp4

8. Calculating the Expected Return of a Stock (CAPM).vtt

8.1 Calculating the Expected Return of a Stock - Resources.html

8.2 CAPM_Data.csv.csv

9. Introducing the Sharpe ratio and how to put it into practice.mp4

9. Introducing the Sharpe ratio and how to put it into practice.vtt

9.1 Python for Finance Course Notes - Part II.pdf.pdf

/16. Part II Finance Multivariate regression analysis/

1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4

1. Multivariate regression analysis - a valuable tool for finance practitioners.vtt

1.1 Python for Finance Course Notes - Part II.pdf.pdf

2. Multivariate Regressions - Quiz.html

3. Running a multivariate regression in Python.mp4

3. Running a multivariate regression in Python.vtt

3.1 Housing.xlsx.xlsx

3.2 Running a Multivariate Regression in Python - Resources.html

/17. PART II Finance - Monte Carlo simulations as a decision-making tool/

1. The essence of Monte Carlo simulations.mp4

1. The essence of Monte Carlo simulations.vtt

1.1 The essence of Monte Carlo simulations - Resources.html

1.2 Python for Finance Course Notes - Part II.pdf.pdf

10. Monte Carlo Forecasting Stock Prices - Part II.mp4

10. Monte Carlo Forecasting Stock Prices - Part II.vtt

10.1 MC - Predicting Stock Prices - Part II.html

11. Monte Carlo Forecasting Stock Prices - Part III.mp4

11. Monte Carlo Forecasting Stock Prices - Part III.vtt

11.1 MC - Predicting Stock Prices - Part III.html

12. An Introduction to Derivative Contracts.mp4

12. An Introduction to Derivative Contracts.vtt

12.1 Python for Finance Course Notes - Part II.pdf.pdf

13. Derivatives - Quiz.html

14. The Black Scholes Formula for Option Pricing.mp4

14. The Black Scholes Formula for Option Pricing.vtt

14.1 Python for Finance Course Notes - Part II.pdf.pdf

15. Monte Carlo Black-Scholes-Merton.mp4

15. Monte Carlo Black-Scholes-Merton.vtt

15.1 Black-Scholes-Merton - Resources.html

16. Using Monte Carlo with Black-Scholes-Merton - Quiz.html

17. Monte Carlo Euler Discretization - Part I.mp4

17. Monte Carlo Euler Discretization - Part I.vtt

17.1 Euler Discretization - Resources.html

18. Monte Carlo Euler Discretization - Part II.mp4

18. Monte Carlo Euler Discretization - Part II.vtt

18.1 Euler DIscretization - Part II.html

2. Monte Carlo - Quiz.html

3. Monte Carlo applied in a Corporate Finance context.mp4

3. Monte Carlo applied in a Corporate Finance context.vtt

3.1 Python for Finance Course Notes - Part II.pdf.pdf

4. Monte Carlo in Corporate Finance - Quiz.html

5. Monte Carlo Predicting Gross Profit – Part I.mp4

5. Monte Carlo Predicting Gross Profit – Part I.vtt

5.1 Monte Carlo Gross Profit - Resources.html

6. Monte Carlo Predicting Gross Profit – Part II.mp4

6. Monte Carlo Predicting Gross Profit – Part II.vtt

6.1 Monte Carlo Gross Profit Part II - Resources.html

7. Forecasting Stock Prices with a Monte Carlo Simulation.mp4

7. Forecasting Stock Prices with a Monte Carlo Simulation.vtt

8. Monte Carlo Simulations - Quiz.html

9. Monte Carlo Forecasting Stock Prices - Part I.mp4

9. Monte Carlo Forecasting Stock Prices - Part I.vtt

9.1 Forecasting Stock Prices - Resources.html

/18. BONUS LECTURE/

1. Bonus Lecture Next Steps.html

/2. Introduction to programming with Python/

1. Programming Explained in 5 Minutes.mp4

1. Programming Explained in 5 Minutes.vtt

1.1 Python for Finance - Course Notes - Part I.pdf.pdf

10. Jupyter’s Interface.html

11. Python 2 vs Python 3 What's the Difference.mp4

11. Python 2 vs Python 3 What's the Difference.vtt

11.1 Python for Finance - Course Notes - Part I.pdf.pdf

2. Programming Explained in 5 Minutes.html

3. Why Python.mp4

3. Why Python.vtt

4. Why Python.html

5. Why Jupyter.mp4

5. Why Jupyter.vtt

6. Why Jupyter.html

7. Installing Python and Jupyter.mp4

7. Installing Python and Jupyter.vtt

8. Jupyter’s Interface – the Dashboard.mp4

8. Jupyter’s Interface – the Dashboard.vtt

9. Jupyter’s Interface – Prerequisites for Coding.mp4

9. Jupyter’s Interface – Prerequisites for Coding.vtt

9.1 Jupyter_Shortcuts.pdf.pdf

/3. Python Variables and Data Types/

1. Variables.mp4

1. Variables.vtt

1.1 Variables - Resources.html

2. Variables.html

3. Numbers and Boolean Values.mp4

3. Numbers and Boolean Values.vtt

3.1 Numbers and Boolean Values - Resources.html

4. Numbers and Boolean Values.html

5. Strings.mp4

5. Strings.vtt

5.1 Strings - Resources.html

6. Strings.html

/4. Basic Python Syntax/

1. Arithmetic Operators.mp4

1. Arithmetic Operators.vtt

1.1 Arithmetic Operators - Resources.html

10. Indexing Elements.mp4

10. Indexing Elements.vtt

10.1 Indexing Elements - Resources.html

11. Indexing Elements.html

12. Structure Your Code with Indentation.mp4

12. Structure Your Code with Indentation.vtt

12.1 Structure Your Code with Indentation - Resources.html

13. Structure Your Code with Indentation.html

2. Arithmetic Operators.html

3. The Double Equality Sign.mp4

3. The Double Equality Sign.vtt

3.1 The Double Equality Sign - Resources.html

4. The Double Equality Sign.html

5. Reassign Values.mp4

5. Reassign Values.vtt

5.1 Reassign Values - Resources.html

6. Reassign values.html

7. Add Comments.mp4

7. Add Comments.vtt

7.1 Add Comments - Resources.html

8. Add Comments.html

9. Line Continuation.mp4

9. Line Continuation.vtt

9.1 Line Continuation - Resources.html

/5. Python Operators Continued/

1. Comparison Operators.mp4

1. Comparison Operators.vtt

1.1 Comparison Operators - Resources.html

2. Comparison Operators.html

3. Logical and Identity Operators.mp4

3. Logical and Identity Operators.vtt

3.1 Logical and Identity Operators - Resources.html

4. Logical and Identity Operators.html

/6. Conditional Statements/

1. Introduction to the IF statement.mp4

1. Introduction to the IF statement.vtt

1.1 Introduction to the IF statement - Resources.html

2. Introduction to the IF statement.html

3. Add an ELSE statement.mp4

3. Add an ELSE statement.vtt

3.1 Add an ELSE statement - Resources.html

4. Else if, for Brief – ELIF.mp4

4. Else if, for Brief – ELIF.vtt

4.1 Else If, for Brief - ELIF - Resources.html

5. A Note on Boolean values.mp4

5. A Note on Boolean values.vtt

5.1 A Note on Boolean values - Resources.html

6. A Note on Boolean Values.html

/7. Python Functions/

1. Defining a Function in Python.mp4

1. Defining a Function in Python.vtt

1.1 Defining a Function in Python - Resources.html

2. Creating a Function with a Parameter.mp4

2. Creating a Function with a Parameter.vtt

2.1 Creating a Function with a Parameter - Resources.html

3. Another Way to Define a Function.mp4

3. Another Way to Define a Function.vtt

4. Another Way to Define a Function.html

5. Using a Function in another Function.mp4

5. Using a Function in another Function.vtt

5.1 Using a Function in another Function - Resources.html

6. Combining Conditional Statements and Functions.mp4

6. Combining Conditional Statements and Functions.vtt

6.1 Combining Conditional Statements and Functions - Resources.html

7. Creating Functions Containing a Few Arguments.mp4

7. Creating Functions Containing a Few Arguments.vtt

8. Notable Built-in Functions in Python.mp4

8. Notable Built-in Functions in Python.vtt

8.1 Notable Built-in Functions in Python - Resources.html

9. Functions.html

/8. Python Sequences/

1. Lists.mp4

1. Lists.vtt

1.1 Lists - Resources.html

2. Lists.html

3. Using Methods.mp4

3. Using Methods.vtt

3.1 Methods - Resources.html

4. Using Methods.html

5. List Slicing.mp4

5. List Slicing.vtt

5.1 List Slicing - Resources.html

6. Tuples.mp4

6. Tuples.vtt

6.1 Tuples - Resources.html

7. Dictionaries.mp4

7. Dictionaries.vtt

7.1 Dictionaries - Resources.html

8. Dictionaries.html

/9. Using Iterations in Python/

1. For Loops.mp4

1. For Loops.vtt

1.1 For Loops - Resources.html

2. For Loops.html

3. While Loops and Incrementing.mp4

3. While Loops and Incrementing.vtt

3.1 While Loops and Incrementing - Resources.html

4. Create Lists with the range() Function.mp4

4. Create Lists with the range() Function.vtt

4.1 Create Lists with the range () Function - Resources.html

5. Create Lists with the range() Function.html

6. Use Conditional Statements and Loops Together.mp4

6. Use Conditional Statements and Loops Together.vtt

6.1 Use Conditional Statements and Loops Together - Resources.html

7. All In – Conditional Statements, Functions, and Loops.mp4

7. All In – Conditional Statements, Functions, and Loops.vtt

7.1 All In - Conditional Statements, Functions, and Loops - Resources.html

8. Iterating over Dictionaries.mp4

8. Iterating over Dictionaries.vtt

8.1 Iterating over Dictionaries - Resources.html

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