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

1. 00001 What_Does_the_Course_Cover.mp446.5MB
2. 00002 Python.mp412.85MB
3. 00003 Why_Python.mp454.73MB
4. 00004 Jupyter.mp411.78MB
5. 00005 Setting_Up_the_Environment.mp417.25MB
6. 00006 Programming_Explained_in_5_Minutes.mp457.71MB
7. 00007 Why_Jupyter.mp437.97MB
8. 00008 Installing_Anaconda.mp447.05MB
9. 00009 Jupyter_s_Interface_the_Dashboard.mp420.6MB
10. 00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp442.32MB
11. 00011 Jupyter_-_Using_Shortcuts.mp429.56MB
12. 00012 Jupyter_-_Handling_Error_Messages.mp458.24MB
13. 00013 Jupyter_-_Restarting_the_Kernel.mp414.62MB
14. 00014 Python_Variables.mp437.5MB
15. 00015 Understanding_Numbers_and_Boolean_Values.mp423.88MB
16. 00016 Strings.mp443.25MB
17. 00017 The_Arithmetic_Operators_of_Python.mp427.34MB
18. 00018 What_is_the_Double_Equality_Sign.mp49.76MB
19. 00019 How_to_Reassign_Values.mp46.69MB
20. 00020 How_to_Add_Comments.mp48.79MB
21. 00021 Understanding_Line_Continuation.mp44.45MB
22. 00022 How_to_Index_Elements.mp48.7MB
23. 00023 How_to_Structure_Your_Code_with_Indentation.mp410.1MB
24. 00024 Python_Comparison_Operators.mp415.04MB
25. 00025 Python_s_Logical_and_Identity_Operators.mp443.06MB
26. 00026 Getting_to_Know_the_IF_Statement.mp419.92MB
27. 00027 Adding_an_ELSE_statement.mp419.67MB
28. 00028 Else_if_for_Brief_ELIF.mp446.35MB
29. 00029 An_Additional_Explanation_of_Boolean_Values.mp416.17MB
30. 00030 How_to_Define_a_Function_in_Python.mp411.69MB
31. 00031 How_to_Create_a_Function_with_a_Parameter.mp432.45MB
32. 00032 Another_Way_to_Define_a_Function.mp421.02MB
33. 00033 How_to_Use_a_Function_within_a_Function.mp412.24MB
34. 00034 Use_Conditional_Statements_and_Functions_Together.mp423.71MB
35. 00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp411.48MB
36. 00036 Built-In_Functions_in_Python_Worth_Knowing.mp430.99MB
37. 00037 Introduction_to_Lists.mp430.06MB
38. 00038 Using_Methods_in_Python.mp430.86MB
39. 00039 What_is_List_Slicing.mp442.74MB
40. 00040 Working_with_Tuples.mp422.8MB
41. 00041 Python_Dictionaries.mp433.74MB
42. 00042 Using_For_Loops.mp420.15MB
43. 00043 Using_While_Loops_and_Incrementing.mp423MB
44. 00044 Use_the_range_Function_to_Create_Lists.mp426.86MB
45. 00045 Combine_Conditional_Statements_and_Loops.mp423.36MB
46. 00046 All_In_Conditional_Statements_Functions_and_Loops.mp415.18MB
47. 00047 How_to_Iterate_over_Dictionaries.mp424.9MB
48. 00048 Object-Oriented_Programming.mp444.05MB
49. 00049 Modules_Packages_and_the_Python_Standard_Library.mp447.51MB
50. 00050 Importing_Modules.mp424MB
51. 00051 What_is_Software_Documentation.mp450.08MB
52. 00052 The_Python_Documentation.mp483.24MB
53. 00053 Must-Have_Packages_Fin_DSc.mp454.2MB
54. 00054 Arrays.mp442.1MB
55. 00055 Generating_Random_Numbers.mp422.89MB
56. 00056 Using_Financial_Data_in_Python.mp422.88MB
57. 00057 Importing_Data_Part_I.mp438.51MB
58. 00058 Importing_Data_Part_II.mp4103.82MB
59. 00059 Importing_Data_Part_III.mp449.46MB
60. 00060 Changing_the_Index_of_Your_Time-Series_Data.mp446.49MB
61. 00061 Restarting_the_Jupyter_Kernel.mp437.29MB
62. 00062 Considering_Both_Risk_and_Return.mp429.74MB
63. 00063 What_are_We_Going_to_See_Next.mp423.66MB
64. 00064 Calculating_a_Security_s_Rate_of_Return.mp444.6MB
65. 00065 Simple_Returns_Part_I.mp466.54MB
66. 00066 Simple_Returns_Part_II.mp433.01MB
67. 00067 Log_Returns.mp440.38MB
68. 00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp420.69MB
69. 00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp496.18MB
70. 00070 Popular_Stock_Indices.mp430.63MB
71. 00071 Calculating_the_Return_of_Indices.mp460.24MB
72. 00072 How_Do_We_Measure_a_Security_s_Risk.mp454.62MB
73. 00073 Calculating_a_Security_s_Risk_in_Python.mp466.9MB
74. 00074 The_Benefits_of_Portfolio_Diversification.mp431.61MB
75. 00075 Calculating_the_Covariance_between_Securities.mp428.65MB
76. 00076 Measuring_the_Correlation_between_Securities.mp430.49MB
77. 00077 Calculating_Covariance_and_Correlation.mp451.5MB
78. 00078 Considering_the_Risk_of_Multiple_Securities.mp442.46MB
79. 00079 Calculating_Portfolio_Risk.mp427.49MB
80. 00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp424.7MB
81. 00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp445.98MB
82. 00082 Simple_Regression_Analysis.mp430.05MB
83. 00083 Running_a_Regression_in_Python.mp460.27MB
84. 00084 How_to_Distinguish_Good_Regressions.mp444.67MB
85. 00085 Computing_Alpha_Beta_and_R2_in_Python.mp465.12MB
86. 00086 Markowitz_Portfolio_Theory.mp461.39MB
87. 00087 Obtaining_the_Efficient_Frontier_Part_I.mp456.76MB
88. 00088 Obtaining_the_Efficient_Frontier_Part_II.mp472.04MB
89. 00089 Obtaining_the_Efficient_Frontier_Part_III.mp425.02MB
90. 00090 The_Intuition_Behind_the_CAPM.mp440.79MB
91. 00091 Understanding_and_Calculating_Beta.mp435.93MB
92. 00092 Calculating_the_Beta_of_a_Stock.mp440.37MB
93. 00093 The_CAPM_Formula.mp435.18MB
94. 00094 Calculating_the_Expected_Return_of_a_Stock.mp423.2MB
95. 00095 Introducing_the_Sharpe_Ratio.mp419.31MB
96. 00096 Obtaining_the_Sharpe_Ratio_in_Python.mp412.19MB
97. 00097 Measuring_Alpha.mp432.72MB
98. 00098 Multivariate_Regression_Analysis.mp445.77MB
99. 00099 Running_a_Multivariate_Regression_in_Python.mp493.18MB
100. 00100 The_Essence_of_Monte_Carlo_Simulations.mp421.73MB
101. 00101 Monte_Carlo_in_Corporate_Finance.mp423.28MB
102. 00102 MC_Predicting_Gross_Profit_Part_I.mp476.74MB
103. 00103 MC_Predicting_Gross_Profit_Part_II.mp429.38MB
104. 00104 Forecasting_Stock_Prices_with_an_MC_Simulation.mp430.27MB
105. 00105 MC_Forecasting_Stock_Prices_Part_I.mp436.47MB
106. 00106 MC_Forecasting_Stock_Prices_Part_II.mp449.84MB
107. 00107 MC_Forecasting_Stock_Prices_Part_III.mp444.79MB
108. 00108 An_Introduction_to_Derivative_Contracts.mp454.02MB
109. 00109 The_Black_Scholes_Formula.mp440.34MB
110. 00110 MC_Black_Scholes_Merton_Updated.mp462.76MB
111. 00111 MC_Euler_Discretization_Part_I.mp467.68MB
112. 00112 MC_Euler_Discretization_Part_II.mp419.07MB