[FreeCoursesOnline.Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]

Creation Time	July 9, 2024, 3:37 p.m.
Last Access Time	Nov. 27, 2024, 8:33 a.m.
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Keywords	FreeCoursesOnline Me and Finance for Analytics Python - Fundamentals PacktPub Video Data Investment
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00058 Importing_Data_Part_II.mp4 103.8 MB
00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp4 96.2 MB
00099 Running_a_Multivariate_Regression_in_Python.mp4 93.2 MB
00052 The_Python_Documentation.mp4 83.2 MB
00102 MC_Predicting_Gross_Profit_Part_I.mp4 76.7 MB
00088 Obtaining_the_Efficient_Frontier_Part_II.mp4 72.0 MB
00111 MC_Euler_Discretization_Part_I.mp4 67.7 MB
00073 Calculating_a_Security_s_Risk_in_Python.mp4 66.9 MB
00065 Simple_Returns_Part_I.mp4 66.5 MB
00085 Computing_Alpha_Beta_and_R2_in_Python.mp4 65.1 MB
00110 MC_Black_Scholes_Merton_Updated.mp4 62.8 MB
00086 Markowitz_Portfolio_Theory.mp4 61.4 MB
00083 Running_a_Regression_in_Python.mp4 60.3 MB
00071 Calculating_the_Return_of_Indices.mp4 60.2 MB
00012 Jupyter_-_Handling_Error_Messages.mp4 58.2 MB
00006 Programming_Explained_in_5_Minutes.mp4 57.7 MB
00087 Obtaining_the_Efficient_Frontier_Part_I.mp4 56.8 MB
00003 Why_Python.mp4 54.7 MB
00072 How_Do_We_Measure_a_Security_s_Risk.mp4 54.6 MB
00053 Must-Have_Packages_Fin_DSc.mp4 54.2 MB
00108 An_Introduction_to_Derivative_Contracts.mp4 54.0 MB
00077 Calculating_Covariance_and_Correlation.mp4 51.5 MB
00051 What_is_Software_Documentation.mp4 50.1 MB
00106 MC_Forecasting_Stock_Prices_Part_II.mp4 49.8 MB
00059 Importing_Data_Part_III.mp4 49.5 MB
00049 Modules_Packages_and_the_Python_Standard_Library.mp4 47.5 MB
00008 Installing_Anaconda.mp4 47.1 MB
00001 What_Does_the_Course_Cover.mp4 46.5 MB
00060 Changing_the_Index_of_Your_Time-Series_Data.mp4 46.5 MB
00028 Else_if_for_Brief_ELIF.mp4 46.3 MB
00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp4 46.0 MB
00098 Multivariate_Regression_Analysis.mp4 45.8 MB
00107 MC_Forecasting_Stock_Prices_Part_III.mp4 44.8 MB
00084 How_to_Distinguish_Good_Regressions.mp4 44.7 MB
00064 Calculating_a_Security_s_Rate_of_Return.mp4 44.6 MB
00048 Object-Oriented_Programming.mp4 44.1 MB
00016 Strings.mp4 43.2 MB
00025 Python_s_Logical_and_Identity_Operators.mp4 43.1 MB
00039 What_is_List_Slicing.mp4 42.7 MB
00078 Considering_the_Risk_of_Multiple_Securities.mp4 42.5 MB
00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp4 42.3 MB
00054 Arrays.mp4 42.1 MB
00090 The_Intuition_Behind_the_CAPM.mp4 40.8 MB
00067 Log_Returns.mp4 40.4 MB
00092 Calculating_the_Beta_of_a_Stock.mp4 40.4 MB
00109 The_Black_Scholes_Formula.mp4 40.3 MB
00057 Importing_Data_Part_I.mp4 38.5 MB
00007 Why_Jupyter.mp4 38.0 MB
00014 Python_Variables.mp4 37.5 MB
00061 Restarting_the_Jupyter_Kernel.mp4 37.3 MB
00105 MC_Forecasting_Stock_Prices_Part_I.mp4 36.5 MB
00091 Understanding_and_Calculating_Beta.mp4 35.9 MB
00093 The_CAPM_Formula.mp4 35.2 MB
00041 Python_Dictionaries.mp4 33.7 MB
00066 Simple_Returns_Part_II.mp4 33.0 MB
00097 Measuring_Alpha.mp4 32.7 MB
00031 How_to_Create_a_Function_with_a_Parameter.mp4 32.4 MB
00074 The_Benefits_of_Portfolio_Diversification.mp4 31.6 MB
00036 Built-In_Functions_in_Python_Worth_Knowing.mp4 31.0 MB
00038 Using_Methods_in_Python.mp4 30.9 MB
00070 Popular_Stock_Indices.mp4 30.6 MB
00076 Measuring_the_Correlation_between_Securities.mp4 30.5 MB
00104 Forecasting_Stock_Prices_with_an_MC_Simulation.mp4 30.3 MB
00037 Introduction_to_Lists.mp4 30.1 MB
00082 Simple_Regression_Analysis.mp4 30.1 MB
00062 Considering_Both_Risk_and_Return.mp4 29.7 MB
00011 Jupyter_-_Using_Shortcuts.mp4 29.6 MB
00103 MC_Predicting_Gross_Profit_Part_II.mp4 29.4 MB
00075 Calculating_the_Covariance_between_Securities.mp4 28.7 MB
00079 Calculating_Portfolio_Risk.mp4 27.5 MB
00017 The_Arithmetic_Operators_of_Python.mp4 27.3 MB
00044 Use_the_range_Function_to_Create_Lists.mp4 26.9 MB
00089 Obtaining_the_Efficient_Frontier_Part_III.mp4 25.0 MB
00047 How_to_Iterate_over_Dictionaries.mp4 24.9 MB
00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp4 24.7 MB
00050 Importing_Modules.mp4 24.0 MB
00015 Understanding_Numbers_and_Boolean_Values.mp4 23.9 MB
00034 Use_Conditional_Statements_and_Functions_Together.mp4 23.7 MB
00063 What_are_We_Going_to_See_Next.mp4 23.7 MB
00045 Combine_Conditional_Statements_and_Loops.mp4 23.4 MB
00101 Monte_Carlo_in_Corporate_Finance.mp4 23.3 MB
00094 Calculating_the_Expected_Return_of_a_Stock.mp4 23.2 MB
00043 Using_While_Loops_and_Incrementing.mp4 23.0 MB
00055 Generating_Random_Numbers.mp4 22.9 MB
00056 Using_Financial_Data_in_Python.mp4 22.9 MB
00040 Working_with_Tuples.mp4 22.8 MB
00100 The_Essence_of_Monte_Carlo_Simulations.mp4 21.7 MB
00032 Another_Way_to_Define_a_Function.mp4 21.0 MB
00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp4 20.7 MB
00009 Jupyter_s_Interface_the_Dashboard.mp4 20.6 MB
00042 Using_For_Loops.mp4 20.1 MB
00026 Getting_to_Know_the_IF_Statement.mp4 19.9 MB
00027 Adding_an_ELSE_statement.mp4 19.7 MB
00095 Introducing_the_Sharpe_Ratio.mp4 19.3 MB
00112 MC_Euler_Discretization_Part_II.mp4 19.1 MB
00005 Setting_Up_the_Environment.mp4 17.2 MB
00029 An_Additional_Explanation_of_Boolean_Values.mp4 16.2 MB
00046 All_In_Conditional_Statements_Functions_and_Loops.mp4 15.2 MB
00024 Python_Comparison_Operators.mp4 15.0 MB
00013 Jupyter_-_Restarting_the_Kernel.mp4 14.6 MB
00002 Python.mp4 12.9 MB
00033 How_to_Use_a_Function_within_a_Function.mp4 12.2 MB
00096 Obtaining_the_Sharpe_Ratio_in_Python.mp4 12.2 MB
00004 Jupyter.mp4 11.8 MB
00030 How_to_Define_a_Function_in_Python.mp4 11.7 MB
00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp4 11.5 MB
00023 How_to_Structure_Your_Code_with_Indentation.mp4 10.1 MB
00018 What_is_the_Double_Equality_Sign.mp4 9.8 MB
00020 How_to_Add_Comments.mp4 8.8 MB
00022 How_to_Index_Elements.mp4 8.7 MB
00019 How_to_Reassign_Values.mp4 6.7 MB
00021 Understanding_Line_Continuation.mp4 4.4 MB
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[FreeCoursesOnline.Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]

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