FreeCourseSite com Udemy Python for Finance Investment Fundamentals Data Analytics

FreeCourseSite com Udemy Python for Finance Investment Fundamentals Data Analytics

Name	[FreeCourseSite.com] Udemy - Python for Finance Investment Fundamentals & Data Analytics	DOWNLOAD Copy Link
Total Size	3.7 GB
Total Files	447
Last Seen	2024-07-08 23:47
Hash	F0021E2CD1AC68D31855CED83517BF368E4F0413

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 - Welcome! Course Introduction/
001 What Does the Course Cover.mp4	41.8 MB
001 What Does the Course Cover_en.srt	7.6 KB
002 Course-Resources.url	0.1 KB
002 Download Useful Resources - Exercises and Solutions.mp4	7.3 MB
002 Download Useful Resources - Exercises and Solutions_en.srt	3.9 KB
002 Python-for-Finance-FAQ.pdf	533.3 KB
external-links.txt	0.1 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/02 - Introduction to programming with Python/
001 Programming Explained in 5 Minutes.mp4	15.9 MB
001 Programming Explained in 5 Minutes_en.srt	7.3 KB
001 Python-for-Finance-Course-Notes-Part-I.pdf	2.3 MB
002 Why Python.mp4	13.1 MB
002 Why Python_en.srt	7.3 KB
003 Why Jupyter.mp4	8.5 MB
003 Why Jupyter_en.srt	4.9 KB
004 Installing Python and Jupyter.mp4	36.6 MB
004 Installing Python and Jupyter_en.srt	9.9 KB
005 Jupyter’s Interface – the Dashboard.mp4	6.3 MB
005 Jupyter’s Interface – the Dashboard_en.srt	4.2 KB
006 Jupyter-Shortcuts.pdf	603.7 KB
006 Jupyter’s Interface – Prerequisites for Coding.mp4	19.9 MB
006 Jupyter’s Interface – Prerequisites for Coding_en.srt	8.3 KB
007 Python 2 vs Python 3 What's the Difference.mp4	6.4 MB
007 Python 2 vs Python 3 What's the Difference_en.srt	3.8 KB
007 Python-for-Finance-Course-Notes-Part-I.pdf	2.3 MB
/03 - Python Variables and Data Types/
001 Variables-Resources.url	0.1 KB
001 Variables.mp4	22.9 MB
001 Variables_en.srt	6.7 KB
002 Numbers and Boolean Values.mp4	6.8 MB
002 Numbers and Boolean Values_en.srt	3.9 KB
002 Numbers-and-Boolean-Values-Resources.url	0.1 KB
003 Strings-Resources.url	0.1 KB
003 Strings.mp4	20.7 MB
003 Strings_en.srt	9.1 KB
external-links.txt	0.3 KB
/04 - Basic Python Syntax/
001 Arithmetic Operators.mp4	7.6 MB
001 Arithmetic Operators_en.srt	4.6 KB
001 Arithmetic-Operators-Resources.url	0.1 KB
002 The Double Equality Sign.mp4	2.9 MB
002 The Double Equality Sign_en.srt	2.0 KB
002 The-Double-Equality-Sign-Resources.url	0.1 KB
003 Reassign Values.mp4	2.0 MB
003 Reassign Values_en.srt	1.5 KB
003 Reassign-Values-Resources.url	0.1 KB
004 Add Comments.mp4	2.5 MB
004 Add Comments_en.srt	2.0 KB
004 Add-Comments-Resources.url	0.1 KB
005 Line Continuation.mp4	1.2 MB
005 Line Continuation_en.srt	1.2 KB
005 Line-Continuation-Resources.url	0.1 KB
006 Indexing Elements.mp4	2.5 MB
006 Indexing Elements_en.srt	1.8 KB
006 Indexing-Elements-Resources.url	0.1 KB
007 Structure Your Code with Indentation.mp4	2.9 MB
007 Structure Your Code with Indentation_en.srt	2.3 KB
007 Structure-Your-Code-with-Indentation-Resources.url	0.1 KB
external-links.txt	0.8 KB
/05 - Python Operators Continued/
001 Comparison Operators.mp4	4.4 MB
001 Comparison Operators_en.srt	2.9 KB
001 Comparison-Operators-Resources.url	0.1 KB
002 Logical and Identity Operators.mp4	15.9 MB
002 Logical and Identity Operators_en.srt	7.0 KB
002 Logical-and-Identity-Operators-Resources.url	0.1 KB
external-links.txt	0.2 KB
/06 - Conditional Statements/
001 Introduction to the IF statement.mp4	5.5 MB
001 Introduction to the IF statement_en.srt	4.0 KB
001 Introduction-to-the-If-Statement-Resources.url	0.1 KB
002 Add an ELSE statement.mp4	5.5 MB
002 Add an ELSE statement_en.srt	3.5 KB
002 Add-an-Else-Statement-Resources.url	0.1 KB
003 Else if, for Brief – ELIF.mp4	26.3 MB
003 Else if, for Brief – ELIF_en.srt	7.2 KB
003 Else-if-for-Brief-Elif-Resources.url	0.1 KB
004 A Note on Boolean Values.mp4	4.4 MB
004 A Note on Boolean Values_en.srt	3.2 KB
004 A-Note-on-Boolean-Values-Resources.url	0.1 KB
external-links.txt	0.5 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/07 - Python Functions/
001 Defining a Function in Python.mp4	3.4 MB
001 Defining a Function in Python_en.srt	2.8 KB
001 Defining-a-Function-in-Python-Resources.url	0.1 KB
002 Creating a Function with a Parameter.mp4	8.5 MB
002 Creating a Function with a Parameter_en.srt	4.7 KB
002 Creating-a-Function-with-a-Parameter-Resources.url	0.1 KB
003 Another Way to Define a Function.mp4	5.6 MB
003 Another Way to Define a Function_en.srt	3.3 KB
003 Another-Way-to-Define-a-Function-Resources.url	0.1 KB
004 Using a Function in another Function.mp4	3.3 MB
004 Using a Function in another Function_en.srt	2.2 KB
004 Using-a-Function-in-Another-Function-Resources.url	0.1 KB
005 Combining Conditional Statements and Functions.mp4	6.3 MB
005 Combining Conditional Statements and Functions_en.srt	3.8 KB
005 Combining-Conditional-Statements-and-Functions-Resources.url	0.1 KB
006 Creating Functions Containing a Few Arguments.mp4	2.9 MB
006 Creating Functions Containing a Few Arguments_en.srt	1.6 KB
006 Creating-Functions-Containing-a-Few-Arguments-Resources.url	0.1 KB
007 Notable Built-in Functions in Python.mp4	8.8 MB
007 Notable Built-in Functions in Python_en.srt	4.5 KB
007 Notable-Built-In-Functions-in-Python-Resources.url	0.1 KB
external-links.txt	0.9 KB
/08 - Python Sequences/
001 Lists-Resources.url	0.1 KB
001 Lists.mp4	9.9 MB
001 Lists_en.srt	5.3 KB
002 Using Methods.mp4	8.2 MB
002 Using Methods_en.srt	4.3 KB
002 Using-Methods-Resources.url	0.1 KB
003 List Slicing.mp4	19.7 MB
003 List Slicing_en.srt	5.9 KB
003 List-Slicing-Resources.url	0.1 KB
004 Tuples-Resources.url	0.1 KB
004 Tuples.mp4	7.7 MB
004 Tuples_en.srt	3.6 KB
005 Dictionaries-Resources.url	0.1 KB
005 Dictionaries.mp4	10.5 MB
005 Dictionaries_en.srt	4.8 KB
external-links.txt	0.5 KB
/09 - Using Iterations in Python/
001 For Loops.mp4	5.7 MB
001 For Loops_en.srt	3.7 KB
001 For-Loops-Resources.url	0.1 KB
002 While Loops and Incrementing.mp4	9.6 MB
002 While Loops and Incrementing_en.srt	3.0 KB
002 While-Loops-and-Incrementing-Resources.url	0.1 KB
003 Create Lists with the range() Function.mp4	7.2 MB
003 Create Lists with the range() Function_en.srt	5.2 KB
003 Create-Lists-with-the-range-Function-Resources.url	0.1 KB
004 Use Conditional Statements and Loops Together.mp4	7.4 MB
004 Use Conditional Statements and Loops Together_en.srt	4.0 KB
004 Use-Conditional-Statements-and-Loops-Together-Resources.url	0.1 KB
005 All In – Conditional Statements, Functions, and Loops.mp4	4.4 MB
005 All In – Conditional Statements, Functions, and Loops_en.srt	2.6 KB
005 All-In-Conditional-Statements-Functions-and-Loops-Resources.url	0.1 KB
006 Iterating over Dictionaries.mp4	6.8 MB
006 Iterating over Dictionaries_en.srt	4.2 KB
006 Iterating-over-Dictionaries-Resources.url	0.1 KB
external-links.txt	0.8 KB
/10 - Advanced Python tools/
001 Object Oriented Programming.mp4	27.4 MB
001 Object Oriented Programming_en.srt	6.5 KB
002 Modules and Packages.mp4	2.1 MB
002 Modules and Packages_en.srt	1.4 KB
003 The Standard Library.mp4	5.1 MB
003 The Standard Library_en.srt	3.8 KB
004 Importing Modules.mp4	9.1 MB
004 Importing Modules_en.srt	5.2 KB
004 Importing-Modules-Resources.url	0.1 KB
005 47-Packages-Exercise.pdf	262.3 KB
005 Must-have packages for Finance and Data Science.mp4	19.0 MB
005 Must-have packages for Finance and Data Science_en.srt	5.9 KB
005 Must-have-packages-for-Finance-and-Data-Science.url	0.1 KB
006 Working with arrays.mp4	12.6 MB
006 Working with arrays_en.srt	7.7 KB
006 Working-with-arrays-Resources.url	0.1 KB
007 Generating Random Numbers.mp4	6.5 MB
007 Generating Random Numbers_en.srt	3.3 KB
007 Generating-Random-Numbers-Resources.url	0.1 KB
008 A Note on Using Financial Data in Python.mp4	6.2 MB
008 A Note on Using Financial Data in Python_en.srt	3.6 KB
009 Sources of Financial Data.mp4	12.8 MB
009 Sources of Financial Data_en.srt	8.8 KB
010 Accessing the Notebook Files.mp4	4.9 MB
010 Accessing the Notebook Files_en.srt	3.4 KB
011 Importing and Organizing Data in Python – part I.mp4	13.0 MB
011 Importing and Organizing Data in Python – part I_en.srt	4.7 KB
011 Importing-Data-Part-I.url	0.1 KB
012 Importing and Organizing Data in Python – part II.A.mp4	60.0 MB
012 Importing and Organizing Data in Python – part II.A_en.srt	8.6 KB
012 Importing-and-Organizing-Data-in-Python-Resources.url	0.1 KB
013 Importing and Organizing Data in Python – part II.B.mp4	24.9 MB
013 Importing and Organizing Data in Python – part II.B_en.srt	5.4 KB
013 Importing-and-Organizing-Data-in-Python-Resources.url	0.1 KB
014 Importing and Organizing Data in Python – part III.mp4	26.8 MB
014 Importing and Organizing Data in Python – part III_en.srt	4.9 KB
014 Importing-and-Organizing-Data-in-Python-Resources.url	0.1 KB
015 Changing the Index of Your Time-Series Data.mp4	22.6 MB
015 Changing the Index of Your Time-Series Data_en.srt	3.9 KB
015 Changing-the-Index-of-Your-Time-Series-Resources.url	0.1 KB
016 Restarting the Jupyter Kernel.mp4	21.4 MB
016 Restarting the Jupyter Kernel_en.srt	3.0 KB
016 Restarting-the-Jupyter-Kernel-Resources.url	0.1 KB
external-links.txt	1.2 KB
/11 - PART II FINANCE Calculating and Comparing Rates of Return in Python/
001 Considering both risk and return.mp4	7.1 MB
001 Considering both risk and return_en.srt	3.2 KB
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
002 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
002 What are we going to see next.mp4	5.2 MB
002 What are we going to see next_en.srt	3.4 KB
003 Calculating a security's rate of return.mp4	10.2 MB
003 Calculating a security's rate of return_en.srt	6.9 KB
003 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
004 Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4	223.3 MB
004 Simple-Returns-Part-I-Resources.url	0.1 KB
005 Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4	145.0 MB
005 Simple-Returns-Part-II-Resources.url	0.1 KB
006 Calculating a Security’s Return in Python – Logarithmic Returns.mp4	153.2 MB
006 Calculating a Security’s Return in Python – Logarithmic Returns_en.srt	4.6 KB
006 Logarithmic-Returns-Resources.url	0.1 KB
007 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
007 What is a portfolio of securities and how to calculate its rate of return.mp4	111.6 MB
008 Calculating a Portfolio of Securities' Rate of Return.mp4	354.6 MB
008 Calculating a Portfolio of Securities' Rate of Return_en.srt	10.9 KB
008 Calculating-the-Return-of-a-Portfolio-of-Securities-Resources.url	0.1 KB
009 Popular stock indices that can help us understand financial markets.mp4	142.3 MB
009 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
010 Calculating the Indices' Rate of Return.mp4	33.4 MB
010 Calculating the Indices' Rate of Return_en.srt	6.4 KB
010 Calculating-the-Return-of-Indices-Resources.url	0.1 KB
010 Indices-Data-1.csv	238.5 KB
010 Indices-Data-2.csv	114.9 KB
external-links.txt	0.6 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/12 - PART II Finance Measuring Investment Risk/
001 How do we measure a security's risk.mp4	12.1 MB
001 How do we measure a security's risk_en.srt	7.3 KB
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
002 Calculating a Security’s Risk in Python.mp4	39.2 MB
002 Calculating a Security’s Risk in Python_en.srt	7.3 KB
002 Calculating-the-Risk-of-a-Security-Resources.url	0.1 KB
003 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
003 The benefits of portfolio diversification.mp4	7.0 MB
003 The benefits of portfolio diversification_en.srt	5.0 KB
004 Calculating the covariance between securities.mp4	9.0 MB
004 Calculating the covariance between securities_en.srt	4.7 KB
004 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
005 Measuring the correlation between stocks.mp4	6.6 MB
005 Measuring the correlation between stocks_en.srt	5.0 KB
005 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
006 Calculating Covariance and Correlation.mp4	17.9 MB
006 Calculating Covariance and Correlation_en.srt	6.1 KB
006 Calculating-Covariance-and-Correlation-Resources.url	0.1 KB
007 Considering the risk of multiple securities in a portfolio.mp4	36.7 MB
007 Considering the risk of multiple securities in a portfolio_en.srt	4.0 KB
007 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
008 Calculating Portfolio Risk.mp4	9.3 MB
008 Calculating Portfolio Risk_en.srt	3.2 KB
008 Calculating-Portfolio-Risk-Resources.url	0.1 KB
009 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
009 Understanding Systematic vs. Idiosyncratic risk.mp4	6.0 MB
009 Understanding Systematic vs. Idiosyncratic risk_en.srt	3.7 KB
010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4	16.4 MB
010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio_en.srt	5.3 KB
010 Diversifiable-and-Non-Diversifiable-Risk-Resources.url	0.1 KB
external-links.txt	0.5 KB
/13 - PART II Finance - Using Regressions for Financial Analysis/
001 Housing-Data.xlsx	14.8 KB
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
001 The fundamentals of simple regression analysis.mp4	7.2 MB
001 The fundamentals of simple regression analysis_en.srt	5.1 KB
002 Housing.xlsx	10.3 KB
002 Running a Regression in Python.mp4	19.5 MB
002 Running a Regression in Python_en.srt	8.1 KB
002 Running-a-Regression-in-Python-Resources.url	0.1 KB
003 Are all regressions created equal Learning how to distinguish good regressions.mp4	204.7 MB
003 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
004 Computing Alpha, Beta, and R Squared in Python.mp4	23.5 MB
004 Computing Alpha, Beta, and R Squared in Python_en.srt	7.0 KB
004 Computing-Alpha-Beta-and-R-Squared-in-Python-Resources.url	0.1 KB
004 Housing.xlsx	10.3 KB
external-links.txt	0.3 KB
/14 - PART II Finance - Markowitz Portfolio Optimization/
001 14.Markowitz-Efficient-frontier.xlsx	15.9 KB
001 Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4	34.7 MB
001 Markowitz Portfolio Theory - One of the main pillars of modern Finance_en.srt	7.6 KB
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.4 MB
002 Markowitz-Data.csv	60.0 KB
002 Obtaining the Efficient Frontier in Python – Part I.mp4	33.4 MB
002 Obtaining the Efficient Frontier in Python – Part I_en.srt	6.6 KB
002 Obtaining-the-Efficient-Frontier-in-Python-Part-I-Resources.url	0.1 KB
003 Markowitz-Data.csv	60.0 KB
003 Obtaining the Efficient Frontier in Python – Part II.mp4	19.7 MB
003 Obtaining the Efficient Frontier in Python – Part II_en.srt	6.2 KB
003 Obtaining-the-Efficient-Frontier-in-Python-Part-II-Resources.url	0.1 KB
004 Markowitz-Data.csv	60.0 KB
004 Obtaining the Efficient Frontier in Python – Part III.mp4	11.7 MB
004 Obtaining the Efficient Frontier in Python – Part III_en.srt	2.8 KB
004 Obtaining-the-Efficient-Frontier-in-Python-Part-III-Resources.url	0.1 KB
external-links.txt	0.4 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/15 - Part II Finance - The Capital Asset Pricing Model/
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
001 The intuition behind the Capital Asset Pricing Model (CAPM).mp4	9.9 MB
001 The intuition behind the Capital Asset Pricing Model (CAPM)_en.srt	6.5 KB
002 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
002 Understanding and calculating a security's Beta.mp4	7.9 MB
002 Understanding and calculating a security's Beta_en.srt	5.3 KB
003 CAPM-Data.csv	41.7 KB
003 Calculating the Beta of a Stock.mp4	13.9 MB
003 Calculating the Beta of a Stock_en.srt	4.6 KB
003 Calculating-the-Beta-of-a-Stock-Resources.url	0.1 KB
004 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
004 The CAPM formula.mp4	7.7 MB
004 The CAPM formula_en.srt	5.8 KB
005 CAPM-Data.csv	41.7 KB
005 Calculating the Expected Return of a Stock (CAPM).mp4	10.1 MB
005 Calculating the Expected Return of a Stock (CAPM)_en.srt	2.9 KB
005 Calculating-the-Expected-Return-of-a-Stock-CAPM-Resources.url	0.1 KB
006 Introducing the Sharpe ratio and how to put it into practice.mp4	4.4 MB
006 Introducing the Sharpe ratio and how to put it into practice_en.srt	3.1 KB
006 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
007 CAPM-Data.csv	41.7 KB
007 Estimating-the-Sharpe-Ratio-in-Python-Resources.url	0.1 KB
007 Obtaining the Sharpe ratio in Python.mp4	3.0 MB
007 Obtaining the Sharpe ratio in Python_en.srt	1.8 KB
008 Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4	174.8 MB
008 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
external-links.txt	0.4 KB
/16 - Part II Finance Multivariate regression analysis/
001 Multivariate regression analysis - a valuable tool for finance practitioners.mp4	28.5 MB
001 Multivariate regression analysis - a valuable tool for finance practitioners_en.srt	7.2 KB
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
002 Housing.xlsx	10.3 KB
002 Running a multivariate regression in Python.mp4	55.2 MB
002 Running a multivariate regression in Python_en.srt	8.2 KB
002 Running-a-Multivariate-Regression-in-Python-Resources.url	0.1 KB
external-links.txt	0.1 KB
/17 - PART II Finance - Monte Carlo simulations as a decision-making tool/
001 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
001 The essence of Monte Carlo simulations.mp4	12.2 MB
001 The essence of Monte Carlo simulations_en.srt	3.3 KB
001 The-Essence-of-Monte-Carlo-Simulations-Resources.url	0.1 KB
002 Monte Carlo applied in a Corporate Finance context.mp4	104.6 MB
002 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
003 Monte Carlo Predicting Gross Profit – Part I.mp4	35.2 MB
003 Monte Carlo Predicting Gross Profit – Part I_en.srt	7.4 KB
003 Monte-Carlo-Predicting-Gross-Profit-Part-I-Resources.url	0.1 KB
004 Monte Carlo Predicting Gross Profit – Part II.mp4	17.4 MB
004 Monte Carlo Predicting Gross Profit – Part II_en.srt	4.0 KB
004 Monte-Carlo-Predicting-Gross-Profit-Part-II-Resources.url	0.1 KB
005 Forecasting Stock Prices with a Monte Carlo Simulation.mp4	185.8 MB
006 Monte Carlo Forecasting Stock Prices - Part I.mp4	17.3 MB
006 Monte Carlo Forecasting Stock Prices - Part I_en.srt	4.6 KB
006 Monte-Carlo-Predicting-Stock-Prices-Part-I-Resources.url	0.1 KB
007 Monte Carlo Forecasting Stock Prices - Part II.mp4	18.2 MB
007 Monte Carlo Forecasting Stock Prices - Part II_en.srt	5.7 KB
007 Predicting-Stock-Prices-Part-II-Resources.url	0.1 KB
008 Monte Carlo Forecasting Stock Prices - Part III.mp4	21.8 MB
008 Monte Carlo Forecasting Stock Prices - Part III_en.srt	5.6 KB
008 Predicting-Stock-Prices-Part-III-Resources.url	0.1 KB
009 An Introduction to Derivative Contracts.mp4	11.9 MB
009 An Introduction to Derivative Contracts_en.srt	8.4 KB
009 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
010 Python-for-Finance-Course-Notes-Part-II.pdf	1.1 MB
010 The Black Scholes Formula for Option Pricing.mp4	9.2 MB
010 The Black Scholes Formula for Option Pricing_en.srt	6.4 KB
011 Monte Carlo Black-Scholes-Merton.mp4	30.4 MB
011 Monte Carlo Black-Scholes-Merton_en.srt	8.0 KB
011 Monte-Carlo-Black-Scholes-Merton-Resources.url	0.1 KB
012 Monte Carlo Euler Discretization - Part I.mp4	31.9 MB
012 Monte Carlo Euler Discretization - Part I_en.srt	8.6 KB
012 Monte-Carlo-Euler-Discretization-Part-I-Resources.url	0.1 KB
013 Monte Carlo Euler Discretization - Part II.mp4	9.2 MB
013 Monte Carlo Euler Discretization - Part II_en.srt	3.1 KB
013 Monte-Carlo-Euler-Discretization-Part-II-Resources.url	0.1 KB
external-links.txt	1.2 KB
/18 - APPENDIX - pandas Fundamentals/
001 pandas Series - Introduction.mp4	22.9 MB
001 pandas Series - Introduction_en.srt	11.1 KB
001 pandas-DataFrames-Introduction-Exercise.ipynb	3.9 KB
001 pandas-DataFrames-Introduction-Lecture.ipynb	2.3 KB
001 pandas-DataFrames-Introduction-Solution.ipynb	17.3 KB
002 pandas - Working with Methods - Part I.mp4	20.3 MB
002 pandas - Working with Methods - Part I_en.srt	7.1 KB
002 pandas-Working-with-Methods-Part-I-Lecture.ipynb	2.7 KB
003 pandas - Working with Methods - Part II.mp4	9.4 MB
003 pandas - Working with Methods - Part II_en.srt	3.8 KB
003 pandas-Working-with-Methods-Exercise.ipynb	2.2 KB
003 pandas-Working-with-Methods-Part-II-Lecture.ipynb	2.1 KB
003 pandas-Working-with-Methods-Solution.ipynb	3.1 KB
004 Using-Parameters-and-Arguments-Exercise.ipynb	2.1 KB
004 Using-Parameters-and-Arguments-Lecture.ipynb	2.4 KB
004 Using-Parameters-and-Arguments-Solution.ipynb	2.9 KB
004 pandas - Using Parameters and Arguments.mp4	16.0 MB
004 pandas - Using Parameters and Arguments_en.srt	5.7 KB
005 Location.csv	13.8 KB
005 Region.csv	10.5 KB
005 pandas Series - .unique() and .nunique().mp4	27.3 MB
005 pandas Series - .unique() and .nunique()_en.srt	5.7 KB
005 pandas-Series.unique-and.nunique-Exercise.ipynb	2.7 KB
005 pandas-Series.unique-and.nunique-Lecture.ipynb	2.6 KB
005 pandas-Series.unique-and.nunique-Solution.ipynb	4.8 KB
006 Location.csv	13.8 KB
006 Region.csv	10.5 KB
006 pandas Series - .sort_values().mp4	13.7 MB
006 pandas Series - .sort_values()_en.srt	5.8 KB
006 pandas-Series.sort-values-Exercise.ipynb	2.6 KB
006 pandas-Series.sort-values-Lecture.ipynb	2.4 KB
006 pandas-Series.sort-values-Solution.ipynb	4.7 KB
007 pandas DataFrames - Introduction - Part I.mp4	11.1 MB
007 pandas DataFrames - Introduction - Part I_en.srt	7.2 KB
008 Lending-company.csv	115.1 KB
008 Sales-products.csv	155.9 KB
008 pandas DataFrames - Introduction - Part II.mp4	21.4 MB
008 pandas DataFrames - Introduction - Part II_en.srt	7.8 KB
008 pandas-Series-Introduction-Exercise.ipynb	5.3 KB
008 pandas-Series-Introduction-Lecture.ipynb	3.2 KB
008 pandas-Series-Introduction-Solution.ipynb	8.1 KB
009 Lending-company.csv	115.1 KB
009 Sales-products.csv	155.9 KB
009 pandas DataFrames - Common Attributes.mp4	26.7 MB
009 pandas DataFrames - Common Attributes_en.srt	6.4 KB
009 pandas-DataFrames-Common-Attributes-Exercise.ipynb	7.4 KB
009 pandas-DataFrames-Common-Attributes-Lecture.ipynb	2.9 KB
009 pandas-DataFrames-Common-Attributes-Solution.ipynb	23.8 KB
010 Lending-company.csv	115.1 KB
010 Sales-products.csv	155.9 KB
010 pandas DataFrames - Data Selection.mp4	49.1 MB
010 pandas DataFrames - Data Selection_en.srt	10.5 KB
010 pandas-DataFrames-Data-Selection-Exercise.ipynb	5.0 KB
010 pandas-DataFrames-Data-Selection-Lecture.ipynb	3.0 KB
010 pandas-DataFrames-Data-Selection-Solution.ipynb	17.7 KB
011 Lending-company.csv	115.1 KB
011 Sales-products.csv	155.9 KB
011 pandas DataFrames - Data Selection with .iloc[].mp4	33.6 MB
011 pandas DataFrames - Data Selection with .iloc[]_en.srt	8.4 KB
011 pandas-DataFrames-Data-Selection.iloc-Exercise.ipynb	5.5 KB
011 pandas-DataFrames-Data-Selection.iloc-Lecture.ipynb	3.1 KB
011 pandas-DataFrames-Data-Selection.iloc-Solution.ipynb	19.4 KB
012 Lending-company.csv	115.1 KB
012 Sales-products.csv	155.9 KB
012 pandas DataFrames - Data Selection with .loc[].mp4	21.7 MB
012 pandas DataFrames - Data Selection with .loc[]_en.srt	5.7 KB
012 pandas-DataFrames-Data-Selection.loc-Exercise.ipynb	2.9 KB
012 pandas-DataFrames-Data-Selection.loc-Lecture.ipynb	2.4 KB
012 pandas-DataFrames-Data-Selection.loc-Solution.ipynb	14.6 KB
/19 - APPENDIX - Technical Analysis/
001 Technical Analysis - Principles, Applications, Assumptions.mp4	8.8 MB
001 Technical Analysis - Principles, Applications, Assumptions_en.srt	4.6 KB
002 Charts Used in Technical Analysis.mp4	27.0 MB
002 Charts Used in Technical Analysis_en.srt	8.6 KB
003 Other Tools Used in Technical Analysis.mp4	13.8 MB
003 Other Tools Used in Technical Analysis_en.srt	2.9 KB
004 Trend, Support and Resistance Lines.mp4	29.1 MB
004 Trend, Support and Resistance Lines_en.srt	6.3 KB
005 Common Chart Patterns.mp4	16.8 MB
005 Common Chart Patterns_en.srt	6.8 KB
006 Price Indicators.mp4	19.1 MB
006 Price Indicators_en.srt	6.0 KB
007 Momentum Oscillators.mp4	14.5 MB
007 Momentum Oscillators_en.srt	5.6 KB
008 Non-price Based Indicators.mp4	14.0 MB
008 Non-price Based Indicators_en.srt	7.2 KB
009 Technical Analysis - Cycles.mp4	16.6 MB
009 Technical Analysis - Cycles_en.srt	6.0 KB
010 Intermarket Analysis.mp4	3.6 MB
010 Intermarket Analysis_en.srt	1.8 KB
/20 - BONUS LECTURE/
001 Bonus Lecture Next Steps.html	2.8 KB
Total files 447