Torrent details for "Udemy Python for Finance Investment Fundamentals Data Analytics" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
3.4 GB
Info Hash:
F0021E2CD1AC68D31855CED83517BF368E4F0413
Added By:
Added:
Aug. 30, 2023, 11:40 a.m.
Stats:
|
(Last updated: May 18, 2025, 3:54 p.m.)
| File | Size |
|---|---|
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 What Does the Course Cover.mp4 | 39.9 MB |
| 001 What Does the Course Cover_en.srt | 7.4 KB |
| 002 Course-Resources.url | 97 bytes |
| 002 Download Useful Resources - Exercises and Solutions.mp4 | 7.0 MB |
| 002 Download Useful Resources - Exercises and Solutions_en.srt | 3.8 KB |
| 002 Python-for-Finance-FAQ.pdf | 520.8 KB |
| external-links.txt | 99 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Programming Explained in 5 Minutes.mp4 | 15.2 MB |
| 001 Programming Explained in 5 Minutes_en.srt | 7.1 KB |
| 001 Python-for-Finance-Course-Notes-Part-I.pdf | 2.2 MB |
| 002 Why Python.mp4 | 12.5 MB |
| 002 Why Python_en.srt | 7.1 KB |
| 003 Why Jupyter.mp4 | 8.2 MB |
| 003 Why Jupyter_en.srt | 4.7 KB |
| 004 Installing Python and Jupyter.mp4 | 34.9 MB |
| 004 Installing Python and Jupyter_en.srt | 9.6 KB |
| 005 Jupyter’s Interface – the Dashboard.mp4 | 6.0 MB |
| 005 Jupyter’s Interface – the Dashboard_en.srt | 4.1 KB |
| 006 Jupyter-Shortcuts.pdf | 589.6 KB |
| 006 Jupyter’s Interface – Prerequisites for Coding.mp4 | 19.0 MB |
| 006 Jupyter’s Interface – Prerequisites for Coding_en.srt | 8.1 KB |
| 007 Python 2 vs Python 3 What's the Difference.mp4 | 6.1 MB |
| 007 Python 2 vs Python 3 What's the Difference_en.srt | 3.7 KB |
| 007 Python-for-Finance-Course-Notes-Part-I.pdf | 2.2 MB |
| 001 Variables-Resources.url | 97 bytes |
| 001 Variables.mp4 | 21.8 MB |
| 001 Variables_en.srt | 6.6 KB |
| 002 Numbers and Boolean Values.mp4 | 6.5 MB |
| 002 Numbers and Boolean Values_en.srt | 3.8 KB |
| 002 Numbers-and-Boolean-Values-Resources.url | 97 bytes |
| 003 Strings-Resources.url | 97 bytes |
| 003 Strings.mp4 | 19.7 MB |
| 003 Strings_en.srt | 8.9 KB |
| external-links.txt | 321 bytes |
| 001 Arithmetic Operators.mp4 | 7.3 MB |
| 001 Arithmetic Operators_en.srt | 4.5 KB |
| 001 Arithmetic-Operators-Resources.url | 97 bytes |
| 002 The Double Equality Sign.mp4 | 2.7 MB |
| 002 The Double Equality Sign_en.srt | 1.9 KB |
| 002 The-Double-Equality-Sign-Resources.url | 97 bytes |
| 003 Reassign Values.mp4 | 1.9 MB |
| 003 Reassign Values_en.srt | 1.5 KB |
| 003 Reassign-Values-Resources.url | 97 bytes |
| 004 Add Comments.mp4 | 2.4 MB |
| 004 Add Comments_en.srt | 1.9 KB |
| 004 Add-Comments-Resources.url | 97 bytes |
| 005 Line Continuation.mp4 | 1.2 MB |
| 005 Line Continuation_en.srt | 1.2 KB |
| 005 Line-Continuation-Resources.url | 97 bytes |
| 006 Indexing Elements.mp4 | 2.4 MB |
| 006 Indexing Elements_en.srt | 1.8 KB |
| 006 Indexing-Elements-Resources.url | 97 bytes |
| 007 Structure Your Code with Indentation.mp4 | 2.8 MB |
| 007 Structure Your Code with Indentation_en.srt | 2.3 KB |
| 007 Structure-Your-Code-with-Indentation-Resources.url | 97 bytes |
| external-links.txt | 792 bytes |
| 001 Comparison Operators.mp4 | 4.1 MB |
| 001 Comparison Operators_en.srt | 2.8 KB |
| 001 Comparison-Operators-Resources.url | 97 bytes |
| 002 Logical and Identity Operators.mp4 | 15.2 MB |
| 002 Logical and Identity Operators_en.srt | 6.8 KB |
| 002 Logical-and-Identity-Operators-Resources.url | 97 bytes |
| external-links.txt | 236 bytes |
| 001 Introduction to the IF statement.mp4 | 5.3 MB |
| 001 Introduction to the IF statement_en.srt | 3.9 KB |
| 001 Introduction-to-the-If-Statement-Resources.url | 97 bytes |
| 002 Add an ELSE statement.mp4 | 5.2 MB |
| 002 Add an ELSE statement_en.srt | 3.4 KB |
| 002 Add-an-Else-Statement-Resources.url | 97 bytes |
| 003 Else if, for Brief – ELIF.mp4 | 25.1 MB |
| 003 Else if, for Brief – ELIF_en.srt | 7.0 KB |
| 003 Else-if-for-Brief-Elif-Resources.url | 97 bytes |
| 004 A Note on Boolean Values.mp4 | 4.2 MB |
| 004 A Note on Boolean Values_en.srt | 3.1 KB |
| 004 A-Note-on-Boolean-Values-Resources.url | 97 bytes |
| external-links.txt | 471 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Defining a Function in Python.mp4 | 3.2 MB |
| 001 Defining a Function in Python_en.srt | 2.7 KB |
| 001 Defining-a-Function-in-Python-Resources.url | 97 bytes |
| 002 Creating a Function with a Parameter.mp4 | 8.1 MB |
| 002 Creating a Function with a Parameter_en.srt | 4.6 KB |
| 002 Creating-a-Function-with-a-Parameter-Resources.url | 97 bytes |
| 003 Another Way to Define a Function.mp4 | 5.3 MB |
| 003 Another Way to Define a Function_en.srt | 3.3 KB |
| 003 Another-Way-to-Define-a-Function-Resources.url | 97 bytes |
| 004 Using a Function in another Function.mp4 | 3.2 MB |
| 004 Using a Function in another Function_en.srt | 2.2 KB |
| 004 Using-a-Function-in-Another-Function-Resources.url | 97 bytes |
| 005 Combining Conditional Statements and Functions.mp4 | 6.0 MB |
| 005 Combining Conditional Statements and Functions_en.srt | 3.7 KB |
| 005 Combining-Conditional-Statements-and-Functions-Resources.url | 97 bytes |
| 006 Creating Functions Containing a Few Arguments.mp4 | 2.8 MB |
| 006 Creating Functions Containing a Few Arguments_en.srt | 1.6 KB |
| 006 Creating-Functions-Containing-a-Few-Arguments-Resources.url | 97 bytes |
| 007 Notable Built-in Functions in Python.mp4 | 8.4 MB |
| 007 Notable Built-in Functions in Python_en.srt | 4.4 KB |
| 007 Notable-Built-In-Functions-in-Python-Resources.url | 97 bytes |
| external-links.txt | 911 bytes |
| 001 Lists-Resources.url | 97 bytes |
| 001 Lists.mp4 | 9.4 MB |
| 001 Lists_en.srt | 5.2 KB |
| 002 Using Methods.mp4 | 7.9 MB |
| 002 Using Methods_en.srt | 4.2 KB |
| 002 Using-Methods-Resources.url | 97 bytes |
| 003 List Slicing.mp4 | 18.8 MB |
| 003 List Slicing_en.srt | 5.8 KB |
| 003 List-Slicing-Resources.url | 97 bytes |
| 004 Tuples-Resources.url | 97 bytes |
| 004 Tuples.mp4 | 7.4 MB |
| 004 Tuples_en.srt | 3.6 KB |
| 005 Dictionaries-Resources.url | 97 bytes |
| 005 Dictionaries.mp4 | 10.0 MB |
| 005 Dictionaries_en.srt | 4.7 KB |
| external-links.txt | 513 bytes |
| 001 For Loops.mp4 | 5.5 MB |
| 001 For Loops_en.srt | 3.6 KB |
| 001 For-Loops-Resources.url | 97 bytes |
| 002 While Loops and Incrementing.mp4 | 9.1 MB |
| 002 While Loops and Incrementing_en.srt | 2.9 KB |
| 002 While-Loops-and-Incrementing-Resources.url | 97 bytes |
| 003 Create Lists with the range() Function.mp4 | 6.9 MB |
| 003 Create Lists with the range() Function_en.srt | 5.0 KB |
| 003 Create-Lists-with-the-range-Function-Resources.url | 97 bytes |
| 004 Use Conditional Statements and Loops Together.mp4 | 7.1 MB |
| 004 Use Conditional Statements and Loops Together_en.srt | 3.9 KB |
| 004 Use-Conditional-Statements-and-Loops-Together-Resources.url | 97 bytes |
| 005 All In – Conditional Statements, Functions, and Loops.mp4 | 4.2 MB |
| 005 All In – Conditional Statements, Functions, and Loops_en.srt | 2.5 KB |
| 005 All-In-Conditional-Statements-Functions-and-Loops-Resources.url | 97 bytes |
| 006 Iterating over Dictionaries.mp4 | 6.4 MB |
| 006 Iterating over Dictionaries_en.srt | 4.1 KB |
| 006 Iterating-over-Dictionaries-Resources.url | 97 bytes |
| external-links.txt | 752 bytes |
| 001 Object Oriented Programming.mp4 | 26.1 MB |
| 001 Object Oriented Programming_en.srt | 6.4 KB |
| 002 Modules and Packages.mp4 | 2.0 MB |
| 002 Modules and Packages_en.srt | 1.3 KB |
| 003 The Standard Library.mp4 | 4.9 MB |
| 003 The Standard Library_en.srt | 3.7 KB |
| 004 Importing Modules.mp4 | 8.7 MB |
| 004 Importing Modules_en.srt | 5.1 KB |
| 004 Importing-Modules-Resources.url | 97 bytes |
| 005 47-Packages-Exercise.pdf | 256.1 KB |
| 005 Must-have packages for Finance and Data Science.mp4 | 18.1 MB |
| 005 Must-have packages for Finance and Data Science_en.srt | 5.8 KB |
| 005 Must-have-packages-for-Finance-and-Data-Science.url | 97 bytes |
| 006 Working with arrays.mp4 | 12.0 MB |
| 006 Working with arrays_en.srt | 7.6 KB |
| 006 Working-with-arrays-Resources.url | 97 bytes |
| 007 Generating Random Numbers.mp4 | 6.2 MB |
| 007 Generating Random Numbers_en.srt | 3.3 KB |
| 007 Generating-Random-Numbers-Resources.url | 97 bytes |
| 008 A Note on Using Financial Data in Python.mp4 | 5.9 MB |
| 008 A Note on Using Financial Data in Python_en.srt | 3.5 KB |
| 009 Sources of Financial Data.mp4 | 12.2 MB |
| 009 Sources of Financial Data_en.srt | 8.6 KB |
| 010 Accessing the Notebook Files.mp4 | 4.7 MB |
| 010 Accessing the Notebook Files_en.srt | 3.3 KB |
| 011 Importing and Organizing Data in Python – part I.mp4 | 12.4 MB |
| 011 Importing and Organizing Data in Python – part I_en.srt | 4.6 KB |
| 011 Importing-Data-Part-I.url | 97 bytes |
| 012 Importing and Organizing Data in Python – part II.A.mp4 | 57.2 MB |
| 012 Importing and Organizing Data in Python – part II.A_en.srt | 8.4 KB |
| 012 Importing-and-Organizing-Data-in-Python-Resources.url | 97 bytes |
| 013 Importing and Organizing Data in Python – part II.B.mp4 | 23.8 MB |
| 013 Importing and Organizing Data in Python – part II.B_en.srt | 5.3 KB |
| 013 Importing-and-Organizing-Data-in-Python-Resources.url | 97 bytes |
| 014 Importing and Organizing Data in Python – part III.mp4 | 25.6 MB |
| 014 Importing and Organizing Data in Python – part III_en.srt | 4.8 KB |
| 014 Importing-and-Organizing-Data-in-Python-Resources.url | 97 bytes |
| 015 Changing the Index of Your Time-Series Data.mp4 | 21.5 MB |
| 015 Changing the Index of Your Time-Series Data_en.srt | 3.8 KB |
| 015 Changing-the-Index-of-Your-Time-Series-Resources.url | 97 bytes |
| 016 Restarting the Jupyter Kernel.mp4 | 20.4 MB |
| 016 Restarting the Jupyter Kernel_en.srt | 2.9 KB |
| 016 Restarting-the-Jupyter-Kernel-Resources.url | 97 bytes |
| external-links.txt | 1.2 KB |
| 001 Considering both risk and return.mp4 | 6.7 MB |
| 001 Considering both risk and return_en.srt | 3.1 KB |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 002 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 002 What are we going to see next.mp4 | 4.9 MB |
| 002 What are we going to see next_en.srt | 3.3 KB |
| 003 Calculating a security's rate of return.mp4 | 9.8 MB |
| 003 Calculating a security's rate of return_en.srt | 6.7 KB |
| 003 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 004 Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 | 213.0 MB |
| 004 Simple-Returns-Part-I-Resources.url | 97 bytes |
| 005 Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 | 138.3 MB |
| 005 Simple-Returns-Part-II-Resources.url | 97 bytes |
| 006 Calculating a Security’s Return in Python – Logarithmic Returns.mp4 | 146.1 MB |
| 006 Calculating a Security’s Return in Python – Logarithmic Returns_en.srt | 4.5 KB |
| 006 Logarithmic-Returns-Resources.url | 97 bytes |
| 007 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 007 What is a portfolio of securities and how to calculate its rate of return.mp4 | 106.4 MB |
| 008 Calculating a Portfolio of Securities' Rate of Return.mp4 | 338.2 MB |
| 008 Calculating a Portfolio of Securities' Rate of Return_en.srt | 10.7 KB |
| 008 Calculating-the-Return-of-a-Portfolio-of-Securities-Resources.url | 97 bytes |
| 009 Popular stock indices that can help us understand financial markets.mp4 | 135.7 MB |
| 009 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 010 Calculating the Indices' Rate of Return.mp4 | 31.9 MB |
| 010 Calculating the Indices' Rate of Return_en.srt | 6.3 KB |
| 010 Calculating-the-Return-of-Indices-Resources.url | 97 bytes |
| 010 Indices-Data-1.csv | 232.9 KB |
| 010 Indices-Data-2.csv | 112.2 KB |
| external-links.txt | 611 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 How do we measure a security's risk.mp4 | 11.5 MB |
| 001 How do we measure a security's risk_en.srt | 7.2 KB |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 002 Calculating a Security’s Risk in Python.mp4 | 37.4 MB |
| 002 Calculating a Security’s Risk in Python_en.srt | 7.1 KB |
| 002 Calculating-the-Risk-of-a-Security-Resources.url | 97 bytes |
| 003 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 003 The benefits of portfolio diversification.mp4 | 6.7 MB |
| 003 The benefits of portfolio diversification_en.srt | 4.9 KB |
| 004 Calculating the covariance between securities.mp4 | 8.6 MB |
| 004 Calculating the covariance between securities_en.srt | 4.6 KB |
| 004 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 005 Measuring the correlation between stocks.mp4 | 6.3 MB |
| 005 Measuring the correlation between stocks_en.srt | 4.9 KB |
| 005 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 006 Calculating Covariance and Correlation.mp4 | 17.0 MB |
| 006 Calculating Covariance and Correlation_en.srt | 6.0 KB |
| 006 Calculating-Covariance-and-Correlation-Resources.url | 97 bytes |
| 007 Considering the risk of multiple securities in a portfolio.mp4 | 35.0 MB |
| 007 Considering the risk of multiple securities in a portfolio_en.srt | 3.9 KB |
| 007 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 008 Calculating Portfolio Risk.mp4 | 8.9 MB |
| 008 Calculating Portfolio Risk_en.srt | 3.1 KB |
| 008 Calculating-Portfolio-Risk-Resources.url | 97 bytes |
| 009 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 009 Understanding Systematic vs. Idiosyncratic risk.mp4 | 5.7 MB |
| 009 Understanding Systematic vs. Idiosyncratic risk_en.srt | 3.6 KB |
| 010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 | 15.6 MB |
| 010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio_en.srt | 5.2 KB |
| 010 Diversifiable-and-Non-Diversifiable-Risk-Resources.url | 97 bytes |
| external-links.txt | 510 bytes |
| 001 Housing-Data.xlsx | 14.4 KB |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 001 The fundamentals of simple regression analysis.mp4 | 6.8 MB |
| 001 The fundamentals of simple regression analysis_en.srt | 5.0 KB |
| 002 Housing.xlsx | 10.0 KB |
| 002 Running a Regression in Python.mp4 | 18.6 MB |
| 002 Running a Regression in Python_en.srt | 8.0 KB |
| 002 Running-a-Regression-in-Python-Resources.url | 97 bytes |
| 003 Are all regressions created equal Learning how to distinguish good regressions.mp4 | 195.2 MB |
| 003 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 004 Computing Alpha, Beta, and R Squared in Python.mp4 | 22.4 MB |
| 004 Computing Alpha, Beta, and R Squared in Python_en.srt | 6.8 KB |
| 004 Computing-Alpha-Beta-and-R-Squared-in-Python-Resources.url | 97 bytes |
| 004 Housing.xlsx | 10.0 KB |
| external-links.txt | 260 bytes |
| 001 14.Markowitz-Efficient-frontier.xlsx | 15.5 KB |
| 001 Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 | 33.1 MB |
| 001 Markowitz Portfolio Theory - One of the main pillars of modern Finance_en.srt | 7.5 KB |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.4 MB |
| 002 Markowitz-Data.csv | 58.6 KB |
| 002 Obtaining the Efficient Frontier in Python – Part I.mp4 | 31.9 MB |
| 002 Obtaining the Efficient Frontier in Python – Part I_en.srt | 6.5 KB |
| 002 Obtaining-the-Efficient-Frontier-in-Python-Part-I-Resources.url | 97 bytes |
| 003 Markowitz-Data.csv | 58.6 KB |
| 003 Obtaining the Efficient Frontier in Python – Part II.mp4 | 18.7 MB |
| 003 Obtaining the Efficient Frontier in Python – Part II_en.srt | 6.1 KB |
| 003 Obtaining-the-Efficient-Frontier-in-Python-Part-II-Resources.url | 97 bytes |
| 004 Markowitz-Data.csv | 58.6 KB |
| 004 Obtaining the Efficient Frontier in Python – Part III.mp4 | 11.2 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 | 97 bytes |
| external-links.txt | 429 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 001 The intuition behind the Capital Asset Pricing Model (CAPM).mp4 | 9.5 MB |
| 001 The intuition behind the Capital Asset Pricing Model (CAPM)_en.srt | 6.3 KB |
| 002 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 002 Understanding and calculating a security's Beta.mp4 | 7.5 MB |
| 002 Understanding and calculating a security's Beta_en.srt | 5.1 KB |
| 003 CAPM-Data.csv | 40.7 KB |
| 003 Calculating the Beta of a Stock.mp4 | 13.3 MB |
| 003 Calculating the Beta of a Stock_en.srt | 4.5 KB |
| 003 Calculating-the-Beta-of-a-Stock-Resources.url | 97 bytes |
| 004 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 004 The CAPM formula.mp4 | 7.3 MB |
| 004 The CAPM formula_en.srt | 5.7 KB |
| 005 CAPM-Data.csv | 40.7 KB |
| 005 Calculating the Expected Return of a Stock (CAPM).mp4 | 9.6 MB |
| 005 Calculating the Expected Return of a Stock (CAPM)_en.srt | 2.8 KB |
| 005 Calculating-the-Expected-Return-of-a-Stock-CAPM-Resources.url | 97 bytes |
| 006 Introducing the Sharpe ratio and how to put it into practice.mp4 | 4.2 MB |
| 006 Introducing the Sharpe ratio and how to put it into practice_en.srt | 3.0 KB |
| 006 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 007 CAPM-Data.csv | 40.7 KB |
| 007 Estimating-the-Sharpe-Ratio-in-Python-Resources.url | 97 bytes |
| 007 Obtaining the Sharpe ratio in Python.mp4 | 2.9 MB |
| 007 Obtaining the Sharpe ratio in Python_en.srt | 1.7 KB |
| 008 Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 | 166.7 MB |
| 008 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| external-links.txt | 394 bytes |
| 001 Multivariate regression analysis - a valuable tool for finance practitioners.mp4 | 27.2 MB |
| 001 Multivariate regression analysis - a valuable tool for finance practitioners_en.srt | 7.0 KB |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 002 Housing.xlsx | 10.0 KB |
| 002 Running a multivariate regression in Python.mp4 | 52.6 MB |
| 002 Running a multivariate regression in Python_en.srt | 8.1 KB |
| 002 Running-a-Multivariate-Regression-in-Python-Resources.url | 97 bytes |
| external-links.txt | 136 bytes |
| 001 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 001 The essence of Monte Carlo simulations.mp4 | 11.7 MB |
| 001 The essence of Monte Carlo simulations_en.srt | 3.3 KB |
| 001 The-Essence-of-Monte-Carlo-Simulations-Resources.url | 97 bytes |
| 002 Monte Carlo applied in a Corporate Finance context.mp4 | 99.7 MB |
| 002 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 003 Monte Carlo Predicting Gross Profit – Part I.mp4 | 33.6 MB |
| 003 Monte Carlo Predicting Gross Profit – Part I_en.srt | 7.2 KB |
| 003 Monte-Carlo-Predicting-Gross-Profit-Part-I-Resources.url | 97 bytes |
| 004 Monte Carlo Predicting Gross Profit – Part II.mp4 | 16.6 MB |
| 004 Monte Carlo Predicting Gross Profit – Part II_en.srt | 3.9 KB |
| 004 Monte-Carlo-Predicting-Gross-Profit-Part-II-Resources.url | 97 bytes |
| 005 Forecasting Stock Prices with a Monte Carlo Simulation.mp4 | 177.2 MB |
| 006 Monte Carlo Forecasting Stock Prices - Part I.mp4 | 16.5 MB |
| 006 Monte Carlo Forecasting Stock Prices - Part I_en.srt | 4.5 KB |
| 006 Monte-Carlo-Predicting-Stock-Prices-Part-I-Resources.url | 97 bytes |
| 007 Monte Carlo Forecasting Stock Prices - Part II.mp4 | 17.4 MB |
| 007 Monte Carlo Forecasting Stock Prices - Part II_en.srt | 5.6 KB |
| 007 Predicting-Stock-Prices-Part-II-Resources.url | 97 bytes |
| 008 Monte Carlo Forecasting Stock Prices - Part III.mp4 | 20.8 MB |
| 008 Monte Carlo Forecasting Stock Prices - Part III_en.srt | 5.4 KB |
| 008 Predicting-Stock-Prices-Part-III-Resources.url | 97 bytes |
| 009 An Introduction to Derivative Contracts.mp4 | 11.4 MB |
| 009 An Introduction to Derivative Contracts_en.srt | 8.2 KB |
| 009 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 010 Python-for-Finance-Course-Notes-Part-II.pdf | 1.0 MB |
| 010 The Black Scholes Formula for Option Pricing.mp4 | 8.8 MB |
| 010 The Black Scholes Formula for Option Pricing_en.srt | 6.2 KB |
| 011 Monte Carlo Black-Scholes-Merton.mp4 | 29.0 MB |
| 011 Monte Carlo Black-Scholes-Merton_en.srt | 7.8 KB |
| 011 Monte-Carlo-Black-Scholes-Merton-Resources.url | 97 bytes |
| 012 Monte Carlo Euler Discretization - Part I.mp4 | 30.4 MB |
| 012 Monte Carlo Euler Discretization - Part I_en.srt | 8.4 KB |
| 012 Monte-Carlo-Euler-Discretization-Part-I-Resources.url | 97 bytes |
| 013 Monte Carlo Euler Discretization - Part II.mp4 | 8.7 MB |
| 013 Monte Carlo Euler Discretization - Part II_en.srt | 3.0 KB |
| 013 Monte-Carlo-Euler-Discretization-Part-II-Resources.url | 97 bytes |
| external-links.txt | 1.1 KB |
| 001 pandas Series - Introduction.mp4 | 21.8 MB |
| 001 pandas Series - Introduction_en.srt | 10.8 KB |
| 001 pandas-DataFrames-Introduction-Exercise.ipynb | 3.8 KB |
| 001 pandas-DataFrames-Introduction-Lecture.ipynb | 2.3 KB |
| 001 pandas-DataFrames-Introduction-Solution.ipynb | 16.9 KB |
| 002 pandas - Working with Methods - Part I.mp4 | 19.4 MB |
| 002 pandas - Working with Methods - Part I_en.srt | 7.0 KB |
| 002 pandas-Working-with-Methods-Part-I-Lecture.ipynb | 2.7 KB |
| 003 pandas - Working with Methods - Part II.mp4 | 8.9 MB |
| 003 pandas - Working with Methods - Part II_en.srt | 3.7 KB |
| 003 pandas-Working-with-Methods-Exercise.ipynb | 2.1 KB |
| 003 pandas-Working-with-Methods-Part-II-Lecture.ipynb | 2.0 KB |
| 003 pandas-Working-with-Methods-Solution.ipynb | 3.0 KB |
| 004 Using-Parameters-and-Arguments-Exercise.ipynb | 2.0 KB |
| 004 Using-Parameters-and-Arguments-Lecture.ipynb | 2.4 KB |
| 004 Using-Parameters-and-Arguments-Solution.ipynb | 2.8 KB |
| 004 pandas - Using Parameters and Arguments.mp4 | 15.3 MB |
| 004 pandas - Using Parameters and Arguments_en.srt | 5.5 KB |
| 005 Location.csv | 13.5 KB |
| 005 Region.csv | 10.2 KB |
| 005 pandas Series - .unique() and .nunique().mp4 | 26.1 MB |
| 005 pandas Series - .unique() and .nunique()_en.srt | 5.5 KB |
| 005 pandas-Series.unique-and.nunique-Exercise.ipynb | 2.7 KB |
| 005 pandas-Series.unique-and.nunique-Lecture.ipynb | 2.5 KB |
| 005 pandas-Series.unique-and.nunique-Solution.ipynb | 4.7 KB |
| 006 Location.csv | 13.5 KB |
| 006 Region.csv | 10.2 KB |
| 006 pandas Series - .sort_values().mp4 | 13.0 MB |
| 006 pandas Series - .sort_values()_en.srt | 5.7 KB |
| 006 pandas-Series.sort-values-Exercise.ipynb | 2.5 KB |
| 006 pandas-Series.sort-values-Lecture.ipynb | 2.3 KB |
| 006 pandas-Series.sort-values-Solution.ipynb | 4.6 KB |
| 007 pandas DataFrames - Introduction - Part I.mp4 | 10.6 MB |
| 007 pandas DataFrames - Introduction - Part I_en.srt | 7.1 KB |
| 008 Lending-company.csv | 112.4 KB |
| 008 Sales-products.csv | 152.3 KB |
| 008 pandas DataFrames - Introduction - Part II.mp4 | 20.4 MB |
| 008 pandas DataFrames - Introduction - Part II_en.srt | 7.6 KB |
| 008 pandas-Series-Introduction-Exercise.ipynb | 5.2 KB |
| 008 pandas-Series-Introduction-Lecture.ipynb | 3.1 KB |
| 008 pandas-Series-Introduction-Solution.ipynb | 7.9 KB |
| 009 Lending-company.csv | 112.4 KB |
| 009 Sales-products.csv | 152.3 KB |
| 009 pandas DataFrames - Common Attributes.mp4 | 25.5 MB |
| 009 pandas DataFrames - Common Attributes_en.srt | 6.3 KB |
| 009 pandas-DataFrames-Common-Attributes-Exercise.ipynb | 7.2 KB |
| 009 pandas-DataFrames-Common-Attributes-Lecture.ipynb | 2.9 KB |
| 009 pandas-DataFrames-Common-Attributes-Solution.ipynb | 23.2 KB |
| 010 Lending-company.csv | 112.4 KB |
| 010 Sales-products.csv | 152.3 KB |
| 010 pandas DataFrames - Data Selection.mp4 | 46.8 MB |
| 010 pandas DataFrames - Data Selection_en.srt | 10.2 KB |
| 010 pandas-DataFrames-Data-Selection-Exercise.ipynb | 4.9 KB |
| 010 pandas-DataFrames-Data-Selection-Lecture.ipynb | 3.0 KB |
| 010 pandas-DataFrames-Data-Selection-Solution.ipynb | 17.3 KB |
| 011 Lending-company.csv | 112.4 KB |
| 011 Sales-products.csv | 152.3 KB |
| 011 pandas DataFrames - Data Selection with .iloc[].mp4 | 32.1 MB |
| 011 pandas DataFrames - Data Selection with .iloc[]_en.srt | 8.2 KB |
| 011 pandas-DataFrames-Data-Selection.iloc-Exercise.ipynb | 5.4 KB |
| 011 pandas-DataFrames-Data-Selection.iloc-Lecture.ipynb | 3.0 KB |
| 011 pandas-DataFrames-Data-Selection.iloc-Solution.ipynb | 19.0 KB |
| 012 Lending-company.csv | 112.4 KB |
| 012 Sales-products.csv | 152.3 KB |
| 012 pandas DataFrames - Data Selection with .loc[].mp4 | 20.7 MB |
| 012 pandas DataFrames - Data Selection with .loc[]_en.srt | 5.6 KB |
| 012 pandas-DataFrames-Data-Selection.loc-Exercise.ipynb | 2.9 KB |
| 012 pandas-DataFrames-Data-Selection.loc-Lecture.ipynb | 2.3 KB |
| 012 pandas-DataFrames-Data-Selection.loc-Solution.ipynb | 14.3 KB |
| 001 Technical Analysis - Principles, Applications, Assumptions.mp4 | 8.3 MB |
| 001 Technical Analysis - Principles, Applications, Assumptions_en.srt | 4.5 KB |
| 002 Charts Used in Technical Analysis.mp4 | 25.7 MB |
| 002 Charts Used in Technical Analysis_en.srt | 8.4 KB |
| 003 Other Tools Used in Technical Analysis.mp4 | 13.2 MB |
| 003 Other Tools Used in Technical Analysis_en.srt | 2.8 KB |
| 004 Trend, Support and Resistance Lines.mp4 | 27.8 MB |
| 004 Trend, Support and Resistance Lines_en.srt | 6.1 KB |
| 005 Common Chart Patterns.mp4 | 16.0 MB |
| 005 Common Chart Patterns_en.srt | 6.6 KB |
| 006 Price Indicators.mp4 | 18.2 MB |
| 006 Price Indicators_en.srt | 5.8 KB |
| 007 Momentum Oscillators.mp4 | 13.9 MB |
| 007 Momentum Oscillators_en.srt | 5.4 KB |
| 008 Non-price Based Indicators.mp4 | 13.4 MB |
| 008 Non-price Based Indicators_en.srt | 7.0 KB |
| 009 Technical Analysis - Cycles.mp4 | 15.9 MB |
| 009 Technical Analysis - Cycles_en.srt | 5.8 KB |
| 010 Intermarket Analysis.mp4 | 3.4 MB |
| 010 Intermarket Analysis_en.srt | 1.8 KB |
| 001 Bonus Lecture Next Steps.html | 2.7 KB |
Name
DL
Uploader
Size
S/L
Added
-
266.9 MB
[15
/
0]
2025-03-06
| Uploaded by freecoursewb | Size 266.9 MB | Health [ 15 /0 ] | Added 2025-03-06 |
NOTE
SOURCE: Udemy Python for Finance Investment Fundamentals Data Analytics
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
None
×


