Tutorialsplanet NET Udemy - Python for Finance Investment Fundamentals & Data Analytics

1. 1. Welcome! Course Introduction/1. What Does the Course Cover.mp413.06MB
2. 1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp48.21MB
3. 10. Advanced Python tools/1. Object Oriented Programming.mp46.89MB
4. 10. Advanced Python tools/11. Working with arrays.mp47.9MB
5. 10. Advanced Python tools/12. Generating Random Numbers.mp43.86MB
6. 10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp418.81MB
7. 10. Advanced Python tools/14. Sources of Financial Data.mp438.77MB
8. 10. Advanced Python tools/15. Accessing the Notebook Files.mp49.95MB
9. 10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp424.06MB
10. 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp466.61MB
11. 10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp436.82MB
12. 10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp48.05MB
13. 10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp410.18MB
14. 10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp48.73MB
15. 10. Advanced Python tools/3. Modules and Packages.mp41.66MB
16. 10. Advanced Python tools/5. The Standard Library.mp43.99MB
17. 10. Advanced Python tools/7. Importing Modules.mp45.91MB
18. 10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp48.64MB
19. 11/1. Considering both risk and return.mp46.19MB
20. 11/11. Calculating a Portfolio of Securities' Rate of Return.mp415.14MB
21. 11/12. Popular stock indices that can help us understand financial markets.mp415.63MB
22. 11/14. Calculating the Indices' Rate of Return.mp49.32MB
23. 11/3. What are we going to see next.mp44.07MB
24. 11/4. Calculating a security's rate of return.mp421.49MB
25. 11/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp410.56MB
26. 11/7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp45.48MB
27. 11/8. Calculating a Security’s Return in Python – Logarithmic Returns.mp46.38MB
28. 11/9. What is a portfolio of securities and how to calculate its rate of return.mp44.32MB
29. 12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp49.3MB
30. 12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp48.39MB
31. 12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp47.75MB
32. 12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.mp44.39MB
33. 12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.mp44.84MB
34. 12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp47.04MB
35. 12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp410.77MB
36. 12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.mp45.74MB
37. 12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.mp45.88MB
38. 12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.mp45.69MB
39. 13/1. The fundamentals of simple regression analysis.mp45.62MB
40. 13/3. Running a Regression in Python.mp410.03MB
41. 13/4. Are all regressions created equal Learning how to distinguish good regressions.mp47.66MB
42. 13/6. Computing Alpha, Beta, and R Squared in Python.mp410.04MB
43. 14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp410.84MB
44. 14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp48.8MB
45. 14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp411.59MB
46. 14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.mp43.76MB
47. 15/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp47.53MB
48. 15/11. Obtaining the Sharpe ratio in Python.mp42.08MB
49. 15/12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp46.46MB
50. 15/3. Understanding and calculating a security's Beta.mp46.33MB
51. 15/5. Calculating the Beta of a Stock.mp46.33MB
52. 15/6. The CAPM formula.mp46.09MB
53. 15/8. Calculating the Expected Return of a Stock (CAPM).mp43.98MB
54. 15/9. Introducing the Sharpe ratio and how to put it into practice.mp43.64MB
55. 16/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp49.24MB
56. 16/3. Running a multivariate regression in Python.mp415.38MB
57. 17/1. The essence of Monte Carlo simulations.mp44.07MB
58. 17/10. Monte Carlo Forecasting Stock Prices - Part II.mp48MB
59. 17/11. Monte Carlo Forecasting Stock Prices - Part III.mp47.09MB
60. 17/12. An Introduction to Derivative Contracts.mp49.36MB
61. 17/14. The Black Scholes Formula for Option Pricing.mp47.05MB
62. 17/15. Monte Carlo Black-Scholes-Merton.mp410.19MB
63. 17/17. Monte Carlo Euler Discretization - Part I.mp410.82MB
64. 17/18. Monte Carlo Euler Discretization - Part II.mp43.57MB
65. 17/3. Monte Carlo applied in a Corporate Finance context.mp44.1MB
66. 17/5. Monte Carlo Predicting Gross Profit – Part I.mp413.04MB
67. 17/6. Monte Carlo Predicting Gross Profit – Part II.mp44.85MB
68. 17/7. Forecasting Stock Prices with a Monte Carlo Simulation.mp46.43MB
69. 17/9. Monte Carlo Forecasting Stock Prices - Part I.mp45.92MB
70. 2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp414.91MB
71. 2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp413.58MB
72. 2. Introduction to programming with Python/3. Why Python.mp415.66MB
73. 2. Introduction to programming with Python/5. Why Jupyter.mp49.86MB
74. 2. Introduction to programming with Python/7. Installing Python and Jupyter.mp453.79MB
75. 2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.mp44.3MB
76. 2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp412.32MB
77. 3. Python Variables and Data Types/1. Variables.mp426.62MB
78. 3. Python Variables and Data Types/3. Numbers and Boolean Values.mp44.46MB
79. 3. Python Variables and Data Types/5. Strings.mp457.58MB
80. 4. Basic Python Syntax/1. Arithmetic Operators.mp45.02MB
81. 4. Basic Python Syntax/10. Indexing Elements.mp41.83MB
82. 4. Basic Python Syntax/12. Structure Your Code with Indentation.mp413.11MB
83. 4. Basic Python Syntax/3. The Double Equality Sign.mp41.94MB
84. 4. Basic Python Syntax/5. Reassign Values.mp41.43MB
85. 4. Basic Python Syntax/7. Add Comments.mp411.15MB
86. 4. Basic Python Syntax/9. Line Continuation.mp41007.08KB
87. 5. Python Operators Continued/1. Comparison Operators.mp42.9MB
88. 5. Python Operators Continued/3. Logical and Identity Operators.mp47.87MB
89. 6. Conditional Statements/1. Introduction to the IF statement.mp423.23MB
90. 6. Conditional Statements/3. Add an ELSE statement.mp423.27MB
91. 6. Conditional Statements/4. Else if, for Brief – ELIF.mp453.25MB
92. 6. Conditional Statements/5. A Note on Boolean values.mp419.93MB
93. 7. Python Functions/1. Defining a Function in Python.mp414.74MB
94. 7. Python Functions/2. Creating a Function with a Parameter.mp438.12MB
95. 7. Python Functions/3. Another Way to Define a Function.mp425.25MB
96. 7. Python Functions/5. Using a Function in another Function.mp42.3MB
97. 7. Python Functions/6. Combining Conditional Statements and Functions.mp44.34MB
98. 7. Python Functions/7. Creating Functions Containing a Few Arguments.mp414.69MB
99. 7. Python Functions/8. Notable Built-in Functions in Python.mp45.83MB
100. 8. Python Sequences/1. Lists.mp437.72MB
101. 8. Python Sequences/3. Using Methods.mp437.54MB
102. 8. Python Sequences/5. List Slicing.mp47.35MB
103. 8. Python Sequences/6. Tuples.mp429.46MB
104. 8. Python Sequences/7. Dictionaries.mp441.76MB
105. 9. Using Iterations in Python/1. For Loops.mp423.54MB
106. 9. Using Iterations in Python/3. While Loops and Incrementing.mp428.49MB
107. 9. Using Iterations in Python/4. Create Lists with the range() Function.mp425.78MB
108. 9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.mp427.78MB
109. 9. Using Iterations in Python/7. All In – Conditional Statements, Functions, and Loops.mp42.86MB
110. 9. Using Iterations in Python/8. Iterating over Dictionaries.mp429.63MB