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

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

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收录时间：2023-12-25
最近下载：2025-09-14

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文件列表

  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/008 Calculating a Portfolio of Securities' Rate of Return.mp4 354.6 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/004 Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 223.3 MB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/003 Are all regressions created equal Learning how to distinguish good regressions.mp4 204.7 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/005 Forecasting Stock Prices with a Monte Carlo Simulation.mp4 185.8 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/008 Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 174.8 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/006 Calculating a Security’s Return in Python – Logarithmic Returns.mp4 153.2 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/005 Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 145.0 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/009 Popular stock indices that can help us understand financial markets.mp4 142.3 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/007 What is a portfolio of securities and how to calculate its rate of return.mp4 111.6 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/002 Monte Carlo applied in a Corporate Finance context.mp4 104.6 MB
  • 10 - Advanced Python tools/012 Importing and Organizing Data in Python – part II.A.mp4 60.0 MB
  • 16 - Part II Finance Multivariate regression analysis/002 Running a multivariate regression in Python.mp4 55.2 MB
  • 18 - APPENDIX - pandas Fundamentals/010 pandas DataFrames - Data Selection.mp4 49.1 MB
  • 01 - Welcome! Course Introduction/001 What Does the Course Cover.mp4 41.8 MB
  • 12 - PART II Finance Measuring Investment Risk/002 Calculating a Security’s Risk in Python.mp4 39.2 MB
  • 12 - PART II Finance Measuring Investment Risk/007 Considering the risk of multiple securities in a portfolio.mp4 36.7 MB
  • 02 - Introduction to programming with Python/004 Installing Python and Jupyter.mp4 36.6 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/003 Monte Carlo Predicting Gross Profit – Part I.mp4 35.2 MB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/001 Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 34.7 MB
  • 18 - APPENDIX - pandas Fundamentals/011 pandas DataFrames - Data Selection with .iloc[].mp4 33.6 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/010 Calculating the Indices' Rate of Return.mp4 33.4 MB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/002 Obtaining the Efficient Frontier in Python – Part I.mp4 33.4 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/012 Monte Carlo Euler Discretization - Part I.mp4 31.9 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/011 Monte Carlo Black-Scholes-Merton.mp4 30.4 MB
  • 19 - APPENDIX - Technical Analysis/004 Trend, Support and Resistance Lines.mp4 29.1 MB
  • 16 - Part II Finance Multivariate regression analysis/001 Multivariate regression analysis - a valuable tool for finance practitioners.mp4 28.5 MB
  • 10 - Advanced Python tools/001 Object Oriented Programming.mp4 27.4 MB
  • 18 - APPENDIX - pandas Fundamentals/005 pandas Series - .unique() and .nunique().mp4 27.3 MB
  • 19 - APPENDIX - Technical Analysis/002 Charts Used in Technical Analysis.mp4 27.0 MB
  • 10 - Advanced Python tools/014 Importing and Organizing Data in Python – part III.mp4 26.8 MB
  • 18 - APPENDIX - pandas Fundamentals/009 pandas DataFrames - Common Attributes.mp4 26.7 MB
  • 06 - Conditional Statements/003 Else if, for Brief – ELIF.mp4 26.3 MB
  • 10 - Advanced Python tools/013 Importing and Organizing Data in Python – part II.B.mp4 24.9 MB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/004 Computing Alpha, Beta, and R Squared in Python.mp4 23.5 MB
  • 03 - Python Variables and Data Types/001 Variables.mp4 22.9 MB
  • 18 - APPENDIX - pandas Fundamentals/001 pandas Series - Introduction.mp4 22.9 MB
  • 10 - Advanced Python tools/015 Changing the Index of Your Time-Series Data.mp4 22.6 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/008 Monte Carlo Forecasting Stock Prices - Part III.mp4 21.8 MB
  • 18 - APPENDIX - pandas Fundamentals/012 pandas DataFrames - Data Selection with .loc[].mp4 21.7 MB
  • 18 - APPENDIX - pandas Fundamentals/008 pandas DataFrames - Introduction - Part II.mp4 21.4 MB
  • 10 - Advanced Python tools/016 Restarting the Jupyter Kernel.mp4 21.4 MB
  • 03 - Python Variables and Data Types/003 Strings.mp4 20.7 MB
  • 18 - APPENDIX - pandas Fundamentals/002 pandas - Working with Methods - Part I.mp4 20.3 MB
  • 02 - Introduction to programming with Python/006 Jupyter’s Interface – Prerequisites for Coding.mp4 19.9 MB
  • 08 - Python Sequences/003 List Slicing.mp4 19.7 MB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/003 Obtaining the Efficient Frontier in Python – Part II.mp4 19.7 MB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/002 Running a Regression in Python.mp4 19.5 MB
  • 19 - APPENDIX - Technical Analysis/006 Price Indicators.mp4 19.1 MB
  • 10 - Advanced Python tools/005 Must-have packages for Finance and Data Science.mp4 19.0 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/007 Monte Carlo Forecasting Stock Prices - Part II.mp4 18.2 MB
  • 12 - PART II Finance Measuring Investment Risk/006 Calculating Covariance and Correlation.mp4 17.9 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/004 Monte Carlo Predicting Gross Profit – Part II.mp4 17.4 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/006 Monte Carlo Forecasting Stock Prices - Part I.mp4 17.3 MB
  • 19 - APPENDIX - Technical Analysis/005 Common Chart Patterns.mp4 16.8 MB
  • 19 - APPENDIX - Technical Analysis/009 Technical Analysis - Cycles.mp4 16.6 MB
  • 12 - PART II Finance Measuring Investment Risk/010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 16.4 MB
  • 18 - APPENDIX - pandas Fundamentals/004 pandas - Using Parameters and Arguments.mp4 16.0 MB
  • 02 - Introduction to programming with Python/001 Programming Explained in 5 Minutes.mp4 15.9 MB
  • 05 - Python Operators Continued/002 Logical and Identity Operators.mp4 15.9 MB
  • 19 - APPENDIX - Technical Analysis/007 Momentum Oscillators.mp4 14.5 MB
  • 19 - APPENDIX - Technical Analysis/008 Non-price Based Indicators.mp4 14.0 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/003 Calculating the Beta of a Stock.mp4 13.9 MB
  • 19 - APPENDIX - Technical Analysis/003 Other Tools Used in Technical Analysis.mp4 13.8 MB
  • 18 - APPENDIX - pandas Fundamentals/006 pandas Series - .sort_values().mp4 13.7 MB
  • 02 - Introduction to programming with Python/002 Why Python.mp4 13.1 MB
  • 10 - Advanced Python tools/011 Importing and Organizing Data in Python – part I.mp4 13.0 MB
  • 10 - Advanced Python tools/009 Sources of Financial Data.mp4 12.8 MB
  • 10 - Advanced Python tools/006 Working with arrays.mp4 12.6 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/001 The essence of Monte Carlo simulations.mp4 12.2 MB
  • 12 - PART II Finance Measuring Investment Risk/001 How do we measure a security's risk.mp4 12.1 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/009 An Introduction to Derivative Contracts.mp4 11.9 MB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/004 Obtaining the Efficient Frontier in Python – Part III.mp4 11.7 MB
  • 18 - APPENDIX - pandas Fundamentals/007 pandas DataFrames - Introduction - Part I.mp4 11.1 MB
  • 08 - Python Sequences/005 Dictionaries.mp4 10.5 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/003 Calculating a security's rate of return.mp4 10.2 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/005 Calculating the Expected Return of a Stock (CAPM).mp4 10.1 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/001 The intuition behind the Capital Asset Pricing Model (CAPM).mp4 9.9 MB
  • 08 - Python Sequences/001 Lists.mp4 9.9 MB
  • 09 - Using Iterations in Python/002 While Loops and Incrementing.mp4 9.6 MB
  • 18 - APPENDIX - pandas Fundamentals/003 pandas - Working with Methods - Part II.mp4 9.4 MB
  • 12 - PART II Finance Measuring Investment Risk/008 Calculating Portfolio Risk.mp4 9.3 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/010 The Black Scholes Formula for Option Pricing.mp4 9.2 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/013 Monte Carlo Euler Discretization - Part II.mp4 9.2 MB
  • 10 - Advanced Python tools/004 Importing Modules.mp4 9.1 MB
  • 12 - PART II Finance Measuring Investment Risk/004 Calculating the covariance between securities.mp4 9.0 MB
  • 07 - Python Functions/007 Notable Built-in Functions in Python.mp4 8.8 MB
  • 19 - APPENDIX - Technical Analysis/001 Technical Analysis - Principles, Applications, Assumptions.mp4 8.8 MB
  • 02 - Introduction to programming with Python/003 Why Jupyter.mp4 8.5 MB
  • 07 - Python Functions/002 Creating a Function with a Parameter.mp4 8.5 MB
  • 08 - Python Sequences/002 Using Methods.mp4 8.2 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/002 Understanding and calculating a security's Beta.mp4 7.9 MB
  • 08 - Python Sequences/004 Tuples.mp4 7.7 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/004 The CAPM formula.mp4 7.7 MB
  • 04 - Basic Python Syntax/001 Arithmetic Operators.mp4 7.6 MB
  • 09 - Using Iterations in Python/004 Use Conditional Statements and Loops Together.mp4 7.4 MB
  • 01 - Welcome! Course Introduction/002 Download Useful Resources - Exercises and Solutions.mp4 7.3 MB
  • 09 - Using Iterations in Python/003 Create Lists with the range() Function.mp4 7.2 MB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/001 The fundamentals of simple regression analysis.mp4 7.2 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/001 Considering both risk and return.mp4 7.1 MB
  • 12 - PART II Finance Measuring Investment Risk/003 The benefits of portfolio diversification.mp4 7.0 MB
  • 03 - Python Variables and Data Types/002 Numbers and Boolean Values.mp4 6.8 MB
  • 09 - Using Iterations in Python/006 Iterating over Dictionaries.mp4 6.8 MB
  • 12 - PART II Finance Measuring Investment Risk/005 Measuring the correlation between stocks.mp4 6.6 MB
  • 10 - Advanced Python tools/007 Generating Random Numbers.mp4 6.5 MB
  • 02 - Introduction to programming with Python/007 Python 2 vs Python 3 What's the Difference.mp4 6.4 MB
  • 02 - Introduction to programming with Python/005 Jupyter’s Interface – the Dashboard.mp4 6.3 MB
  • 07 - Python Functions/005 Combining Conditional Statements and Functions.mp4 6.3 MB
  • 10 - Advanced Python tools/008 A Note on Using Financial Data in Python.mp4 6.2 MB
  • 12 - PART II Finance Measuring Investment Risk/009 Understanding Systematic vs. Idiosyncratic risk.mp4 6.0 MB
  • 09 - Using Iterations in Python/001 For Loops.mp4 5.7 MB
  • 07 - Python Functions/003 Another Way to Define a Function.mp4 5.6 MB
  • 06 - Conditional Statements/001 Introduction to the IF statement.mp4 5.5 MB
  • 06 - Conditional Statements/002 Add an ELSE statement.mp4 5.5 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/002 What are we going to see next.mp4 5.2 MB
  • 10 - Advanced Python tools/003 The Standard Library.mp4 5.1 MB
  • 10 - Advanced Python tools/010 Accessing the Notebook Files.mp4 4.9 MB
  • 06 - Conditional Statements/004 A Note on Boolean Values.mp4 4.4 MB
  • 09 - Using Iterations in Python/005 All In – Conditional Statements, Functions, and Loops.mp4 4.4 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/006 Introducing the Sharpe ratio and how to put it into practice.mp4 4.4 MB
  • 05 - Python Operators Continued/001 Comparison Operators.mp4 4.4 MB
  • 19 - APPENDIX - Technical Analysis/010 Intermarket Analysis.mp4 3.6 MB
  • 07 - Python Functions/001 Defining a Function in Python.mp4 3.4 MB
  • 07 - Python Functions/004 Using a Function in another Function.mp4 3.3 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/007 Obtaining the Sharpe ratio in Python.mp4 3.0 MB
  • 04 - Basic Python Syntax/007 Structure Your Code with Indentation.mp4 2.9 MB
  • 07 - Python Functions/006 Creating Functions Containing a Few Arguments.mp4 2.9 MB
  • 04 - Basic Python Syntax/002 The Double Equality Sign.mp4 2.9 MB
  • 04 - Basic Python Syntax/006 Indexing Elements.mp4 2.5 MB
  • 04 - Basic Python Syntax/004 Add Comments.mp4 2.5 MB
  • 02 - Introduction to programming with Python/001 Python-for-Finance-Course-Notes-Part-I.pdf 2.3 MB
  • 02 - Introduction to programming with Python/007 Python-for-Finance-Course-Notes-Part-I.pdf 2.3 MB
  • 10 - Advanced Python tools/002 Modules and Packages.mp4 2.1 MB
  • 04 - Basic Python Syntax/003 Reassign Values.mp4 2.0 MB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.4 MB
  • 04 - Basic Python Syntax/005 Line Continuation.mp4 1.2 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/002 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/003 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/007 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/009 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 12 - PART II Finance Measuring Investment Risk/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 12 - PART II Finance Measuring Investment Risk/003 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 12 - PART II Finance Measuring Investment Risk/004 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 12 - PART II Finance Measuring Investment Risk/005 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 12 - PART II Finance Measuring Investment Risk/007 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 12 - PART II Finance Measuring Investment Risk/009 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/003 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/002 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/004 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/006 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 15 - Part II Finance - The Capital Asset Pricing Model/008 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 16 - Part II Finance Multivariate regression analysis/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/001 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/002 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/009 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/010 Python-for-Finance-Course-Notes-Part-II.pdf 1.1 MB
  • 02 - Introduction to programming with Python/006 Jupyter-Shortcuts.pdf 603.7 kB
  • 01 - Welcome! Course Introduction/002 Python-for-Finance-FAQ.pdf 533.3 kB
  • 10 - Advanced Python tools/005 47-Packages-Exercise.pdf 262.3 kB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/010 Indices-Data-1.csv 238.5 kB
  • 18 - APPENDIX - pandas Fundamentals/008 Sales-products.csv 155.9 kB
  • 18 - APPENDIX - pandas Fundamentals/009 Sales-products.csv 155.9 kB
  • 18 - APPENDIX - pandas Fundamentals/010 Sales-products.csv 155.9 kB
  • 18 - APPENDIX - pandas Fundamentals/011 Sales-products.csv 155.9 kB
  • 18 - APPENDIX - pandas Fundamentals/012 Sales-products.csv 155.9 kB
  • 18 - APPENDIX - pandas Fundamentals/008 Lending-company.csv 115.1 kB
  • 18 - APPENDIX - pandas Fundamentals/009 Lending-company.csv 115.1 kB
  • 18 - APPENDIX - pandas Fundamentals/010 Lending-company.csv 115.1 kB
  • 18 - APPENDIX - pandas Fundamentals/011 Lending-company.csv 115.1 kB
  • 18 - APPENDIX - pandas Fundamentals/012 Lending-company.csv 115.1 kB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/010 Indices-Data-2.csv 114.9 kB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/002 Markowitz-Data.csv 60.0 kB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/003 Markowitz-Data.csv 60.0 kB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/004 Markowitz-Data.csv 60.0 kB
  • 15 - Part II Finance - The Capital Asset Pricing Model/003 CAPM-Data.csv 41.7 kB
  • 15 - Part II Finance - The Capital Asset Pricing Model/005 CAPM-Data.csv 41.7 kB
  • 15 - Part II Finance - The Capital Asset Pricing Model/007 CAPM-Data.csv 41.7 kB
  • 18 - APPENDIX - pandas Fundamentals/009 pandas-DataFrames-Common-Attributes-Solution.ipynb 23.8 kB
  • 18 - APPENDIX - pandas Fundamentals/011 pandas-DataFrames-Data-Selection.iloc-Solution.ipynb 19.4 kB
  • 18 - APPENDIX - pandas Fundamentals/010 pandas-DataFrames-Data-Selection-Solution.ipynb 17.7 kB
  • 18 - APPENDIX - pandas Fundamentals/001 pandas-DataFrames-Introduction-Solution.ipynb 17.3 kB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/001 14.Markowitz-Efficient-frontier.xlsx 15.9 kB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/001 Housing-Data.xlsx 14.8 kB
  • 18 - APPENDIX - pandas Fundamentals/012 pandas-DataFrames-Data-Selection.loc-Solution.ipynb 14.6 kB
  • 18 - APPENDIX - pandas Fundamentals/005 Location.csv 13.8 kB
  • 18 - APPENDIX - pandas Fundamentals/006 Location.csv 13.8 kB
  • 18 - APPENDIX - pandas Fundamentals/001 pandas Series - Introduction_en.srt 11.1 kB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/008 Calculating a Portfolio of Securities' Rate of Return_en.srt 10.9 kB
  • 18 - APPENDIX - pandas Fundamentals/010 pandas DataFrames - Data Selection_en.srt 10.5 kB
  • 18 - APPENDIX - pandas Fundamentals/005 Region.csv 10.5 kB
  • 18 - APPENDIX - pandas Fundamentals/006 Region.csv 10.5 kB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/002 Housing.xlsx 10.3 kB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/004 Housing.xlsx 10.3 kB
  • 16 - Part II Finance Multivariate regression analysis/002 Housing.xlsx 10.3 kB
  • 02 - Introduction to programming with Python/004 Installing Python and Jupyter_en.srt 9.9 kB
  • 03 - Python Variables and Data Types/003 Strings_en.srt 9.1 kB
  • 10 - Advanced Python tools/009 Sources of Financial Data_en.srt 8.8 kB
  • 19 - APPENDIX - Technical Analysis/002 Charts Used in Technical Analysis_en.srt 8.6 kB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/012 Monte Carlo Euler Discretization - Part I_en.srt 8.6 kB
  • 10 - Advanced Python tools/012 Importing and Organizing Data in Python – part II.A_en.srt 8.6 kB
  • 18 - APPENDIX - pandas Fundamentals/011 pandas DataFrames - Data Selection with .iloc[]_en.srt 8.4 kB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/009 An Introduction to Derivative Contracts_en.srt 8.4 kB
  • 02 - Introduction to programming with Python/006 Jupyter’s Interface – Prerequisites for Coding_en.srt 8.3 kB
  • 16 - Part II Finance Multivariate regression analysis/002 Running a multivariate regression in Python_en.srt 8.2 kB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/002 Running a Regression in Python_en.srt 8.1 kB
  • 18 - APPENDIX - pandas Fundamentals/008 pandas-Series-Introduction-Solution.ipynb 8.1 kB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/011 Monte Carlo Black-Scholes-Merton_en.srt 8.0 kB
  • 18 - APPENDIX - pandas Fundamentals/008 pandas DataFrames - Introduction - Part II_en.srt 7.8 kB
  • 10 - Advanced Python tools/006 Working with arrays_en.srt 7.7 kB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/001 Markowitz Portfolio Theory - One of the main pillars of modern Finance_en.srt 7.6 kB
  • 01 - Welcome! Course Introduction/001 What Does the Course Cover_en.srt 7.6 kB
  • 18 - APPENDIX - pandas Fundamentals/009 pandas-DataFrames-Common-Attributes-Exercise.ipynb 7.4 kB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/003 Monte Carlo Predicting Gross Profit – Part I_en.srt 7.4 kB
  • 12 - PART II Finance Measuring Investment Risk/001 How do we measure a security's risk_en.srt 7.3 kB
  • 02 - Introduction to programming with Python/002 Why Python_en.srt 7.3 kB
  • 02 - Introduction to programming with Python/001 Programming Explained in 5 Minutes_en.srt 7.3 kB
  • 12 - PART II Finance Measuring Investment Risk/002 Calculating a Security’s Risk in Python_en.srt 7.3 kB
  • 18 - APPENDIX - pandas Fundamentals/007 pandas DataFrames - Introduction - Part I_en.srt 7.2 kB
  • 19 - APPENDIX - Technical Analysis/008 Non-price Based Indicators_en.srt 7.2 kB
  • 06 - Conditional Statements/003 Else if, for Brief – ELIF_en.srt 7.2 kB
  • 16 - Part II Finance Multivariate regression analysis/001 Multivariate regression analysis - a valuable tool for finance practitioners_en.srt 7.2 kB
  • 18 - APPENDIX - pandas Fundamentals/002 pandas - Working with Methods - Part I_en.srt 7.1 kB
  • 13 - PART II Finance - Using Regressions for Financial Analysis/004 Computing Alpha, Beta, and R Squared in Python_en.srt 7.0 kB
  • 05 - Python Operators Continued/002 Logical and Identity Operators_en.srt 7.0 kB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/003 Calculating a security's rate of return_en.srt 6.9 kB
  • 19 - APPENDIX - Technical Analysis/005 Common Chart Patterns_en.srt 6.8 kB
  • 03 - Python Variables and Data Types/001 Variables_en.srt 6.7 kB
  • 14 - PART II Finance - Markowitz Portfolio Optimization/002 Obtaining the Efficient Frontier in Python – Part I_en.srt 6.6 kB
  • 10 - Advanced Python tools/001 Object Oriented Programming_en.srt 6.5 kB
  • 15 - Part II Finance - The Capital Asset Pricing Model/001 The intuition behind the Capital Asset Pricing Model (CAPM)_en.srt 6.5 kB
  • 11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/010 Calculating the Indices' Rate of Return_en.srt 6.4 kB
  • 18 - APPENDIX - pandas Fundamentals/009 pandas DataFrames - Common Attributes_en.srt 6.4 kB
  • 17 - PART II Finance - Monte Carlo simulations as a decision-making tool/010 The Black Scholes Formula for Option Pricing_en.srt 6.4 kB
  • 19 - APPENDIX - Technical Analysis/004 Trend, Support and Resistance Lines_en.srt 6.3 kB
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  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
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  • 15 - Part II Finance - The Capital Asset Pricing Model/0. Websites you may like/[GigaCourse.Com].url 49 Bytes

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