Python for Finance - Investment Fundamentals & Data Analytics

1. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/061 Calculating the Rate of Return of a Portfolio of Securities.mp422.3MB
2. Python for Finance - Investment Fundamentals & Data Analytics/01 Welcome Course Introduction/001 What Does the Course Cover.mp413.06MB
3. Python for Finance - Investment Fundamentals & Data Analytics/01 Welcome Course Introduction/002 Download Useful Resources - Exercises and Solutions.mp48.21MB
4. Python for Finance - Investment Fundamentals & Data Analytics/02 Introduction to programming with Python/003 Programming Explained in 5 Minutes.mp414.9MB
5. Python for Finance - Investment Fundamentals & Data Analytics/02 Introduction to programming with Python/004 Why Python.mp415.66MB
6. Python for Finance - Investment Fundamentals & Data Analytics/02 Introduction to programming with Python/005 Why Jupyter.mp49.86MB
7. Python for Finance - Investment Fundamentals & Data Analytics/02 Introduction to programming with Python/006 Installing Python and Jupyter.mp415.48MB
8. Python for Finance - Investment Fundamentals & Data Analytics/02 Introduction to programming with Python/007 Jupyters Interface the Dashboard.mp46.38MB
9. Python for Finance - Investment Fundamentals & Data Analytics/02 Introduction to programming with Python/008 Jupyters Interface Prerequisites for Coding.mp412.31MB
10. Python for Finance - Investment Fundamentals & Data Analytics/03 Python Variables and Data Types/009 Variables.mp47.22MB
11. Python for Finance - Investment Fundamentals & Data Analytics/03 Python Variables and Data Types/010 Numbers and Boolean Values.mp46.57MB
12. Python for Finance - Investment Fundamentals & Data Analytics/03 Python Variables and Data Types/011 Strings.mp411.94MB
13. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/012 Arithmetic Operators.mp47.16MB
14. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/013 The Double Equality Sign.mp42.86MB
15. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/014 Reassign Values.mp42.08MB
16. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/015 Add Comments.mp42.62MB
17. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/016 Line Continuation.mp41.35MB
18. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/017 Indexing Elements.mp42.64MB
19. Python for Finance - Investment Fundamentals & Data Analytics/04 Basic Python Syntax/018 Structure Your Code with Indentation.mp43.25MB
20. Python for Finance - Investment Fundamentals & Data Analytics/05 Python Operators Continued/019 Comparison Operators.mp44.2MB
21. Python for Finance - Investment Fundamentals & Data Analytics/05 Python Operators Continued/020 Logical and Identity Operators.mp411.88MB
22. Python for Finance - Investment Fundamentals & Data Analytics/06 Conditional Statements/021 Introduction to the IF statement.mp45.7MB
23. Python for Finance - Investment Fundamentals & Data Analytics/06 Conditional Statements/022 Add an ELSE statement.mp45.24MB
24. Python for Finance - Investment Fundamentals & Data Analytics/06 Conditional Statements/023 Else if for Brief ELIF.mp411.45MB
25. Python for Finance - Investment Fundamentals & Data Analytics/06 Conditional Statements/024 A Note on Boolean values.mp44.44MB
26. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/025 Defining a Function in Python.mp43.6MB
27. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/026 Creating a Function with a Parameter.mp48.11MB
28. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/027 Another Way to Define a Function.mp45.29MB
29. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/028 Using a Function in another Function.mp43.25MB
30. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/029 Creating Functions Containing a Few Arguments.mp42.52MB
31. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/030 Combining Conditional Statements and Functions.mp46.21MB
32. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/031 Creating Functions Containing a Few Arguments.mp42.52MB
33. Python for Finance - Investment Fundamentals & Data Analytics/07 Python Functions/032 Notable Built-in Functions in Python.mp48.45MB
34. Python for Finance - Investment Fundamentals & Data Analytics/08 Python Sequences/033 Lists.mp48.37MB
35. Python for Finance - Investment Fundamentals & Data Analytics/08 Python Sequences/034 Using Methods.mp47.23MB
36. Python for Finance - Investment Fundamentals & Data Analytics/08 Python Sequences/035 List Slicing.mp410.35MB
37. Python for Finance - Investment Fundamentals & Data Analytics/08 Python Sequences/036 Tuples.mp46.48MB
38. Python for Finance - Investment Fundamentals & Data Analytics/08 Python Sequences/037 Dictionaries.mp49.03MB
39. Python for Finance - Investment Fundamentals & Data Analytics/09 Using Iterations in Python/038 For Loops.mp44.84MB
40. Python for Finance - Investment Fundamentals & Data Analytics/09 Using Iterations in Python/039 While Loops and Incrementing.mp46.67MB
41. Python for Finance - Investment Fundamentals & Data Analytics/09 Using Iterations in Python/040 Create Lists with the range Function.mp44.46MB
42. Python for Finance - Investment Fundamentals & Data Analytics/09 Using Iterations in Python/041 Use Conditional Statements and Loops Together.mp46.05MB
43. Python for Finance - Investment Fundamentals & Data Analytics/09 Using Iterations in Python/042 All In Conditional Statements Functions and Loops.mp44.36MB
44. Python for Finance - Investment Fundamentals & Data Analytics/09 Using Iterations in Python/043 Iterating over Dictionaries.mp46.46MB
45. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/044 Object Oriented Programming.mp49.47MB
46. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/045 Modules and Packages.mp42.47MB
47. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/046 The Standard Library.mp45.87MB
48. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/047 Importing Modules.mp48.29MB
49. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/048 Must-have packages for Finance and Data Science.mp412.42MB
50. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/049 Working with arrays.mp411.21MB
51. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/050 Generating Random Numbers.mp45.66MB
52. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/051 Importing and Organizing Data in Python part I.mp49.54MB
53. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/052 Importing and Organizing Data in Python part II.mp421.48MB
54. Python for Finance - Investment Fundamentals & Data Analytics/10 Useful tips and tools/053 Importing and Organizing Data in Python part III.mp411.54MB
55. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/054 Considering both risk and return.mp411.59MB
56. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/055 What are we going to see next.mp45.47MB
57. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/056 Calculating a securitys rate of return.mp411.54MB
58. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/057 Calculating a Securitys Rate of Return in Python Simple Returns Part I.mp413.95MB
59. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/058 Calculating a Securitys Rate of Return in Python Simple Returns Part II.mp47.69MB
60. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/059 Calculating a Securitys Return in Python Logarithmic Returns.mp49.02MB
61. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/060 What is a portfolio of securities and how to calculate its rate of return.mp45.69MB
62. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/062 Popular stock indices that can help us understand financial markets.mp47.72MB
63. Python for Finance - Investment Fundamentals & Data Analytics/11 PART II FINANCE Calculating and Comparing Rates of Return in Python/063 Calculating the Rate of Return of Indices.mp412.59MB
64. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/064 How do we measure a securitys risk.mp412.49MB
65. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/065 Calculating a Securitys Risk in Python.mp416.39MB
66. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/066 The benefits of portfolio diversification.mp48.18MB
67. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/067 Calculating the covariance between securities.mp47.69MB
68. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/068 Measuring the correlation between stocks.mp47.65MB
69. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/069 Calculating Covariance and Correlation.mp412.19MB
70. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/070 Considering the risk of multiple securities in a portfolio.mp414.3MB
71. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/071 Calculating Portfolio Risk.mp46.34MB
72. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/072 Understanding Systematic vs. Idiosyncratic risk.mp46.97MB
73. Python for Finance - Investment Fundamentals & Data Analytics/12 PART II Finance Measuring Investment Risk/073 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp410.42MB
74. Python for Finance - Investment Fundamentals & Data Analytics/13 PART II Finance - Using Regressions for Financial Analysis/074 The fundamentals of simple regression analysis.mp47.44MB
75. Python for Finance - Investment Fundamentals & Data Analytics/13 PART II Finance - Using Regressions for Financial Analysis/075 Running a Regression in Python.mp414.24MB
76. Python for Finance - Investment Fundamentals & Data Analytics/13 PART II Finance - Using Regressions for Financial Analysis/076 Are all regressions created equal Learning how to distinguish good regressions.mp410.55MB
77. Python for Finance - Investment Fundamentals & Data Analytics/13 PART II Finance - Using Regressions for Financial Analysis/077 Computing Alpha Beta and R Squared in Python.mp414.44MB
78. Python for Finance - Investment Fundamentals & Data Analytics/14 PART II Finance - Markowitz Portfolio Optimization/078 Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp413.32MB
79. Python for Finance - Investment Fundamentals & Data Analytics/14 PART II Finance - Markowitz Portfolio Optimization/079 Obtaining the Efficient Frontier in Python Part I.mp412.53MB
80. Python for Finance - Investment Fundamentals & Data Analytics/14 PART II Finance - Markowitz Portfolio Optimization/080 Obtaining the Efficient Frontier in Python Part II.mp416.03MB
81. Python for Finance - Investment Fundamentals & Data Analytics/14 PART II Finance - Markowitz Portfolio Optimization/081 Obtaining the Efficient Frontier in Python Part III.mp45.4MB
82. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/082 The intuition behind the Capital Asset Pricing Model CAPM.mp410.02MB
83. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/083 Understanding and calculating a securitys Beta.mp48.29MB
84. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/084 Calculating the Beta of a Stock.mp48.27MB
85. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/085 The CAPM formula.mp47.66MB
86. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/086 Calculating the Expected Return of a Stock CAPM.mp45.31MB
87. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/087 Introducing the Sharpe ratio and the way it can be applied in practice.mp45.09MB
88. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/088 Obtaining the Sharpe ratio in Python.mp42.67MB
89. Python for Finance - Investment Fundamentals & Data Analytics/15 Part II Finance - The Capital Asset Pricing Model/089 Measuring alpha and verifying how good or bad a portfolio manager is doing.mp48.32MB
90. Python for Finance - Investment Fundamentals & Data Analytics/16 Part II Finance Multivariate regression analysis/090 Multivariate regression analysis - a valuable tool for finance practitioners.mp412.44MB
91. Python for Finance - Investment Fundamentals & Data Analytics/16 Part II Finance Multivariate regression analysis/091 Running a multivariate regression in Python.mp421.81MB
92. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/An Introduction to Derivative Contracts.mp412.21MB
93. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Forecasting Stock Prices with a Monte Carlo Simulation.mp48.31MB
94. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Black-Scholes-Merton.mp413.61MB
95. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Euler Discretization - Part I.mp414.42MB
96. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Euler Discretization - Part II.mp45.43MB
97. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Forecasting Stock Prices - Part I.mp48.21MB
98. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Forecasting Stock Prices - Part II.mp410.86MB
99. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Forecasting Stock Prices - Part III.mp410.25MB
100. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Predicting Gross Profit – Part I.mp418.6MB
101. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo - Predicting Gross Profit – Part II.mp46.69MB
102. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/Monte Carlo applied in a Corporate Finance context.mp45.93MB
103. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/The Black Scholes Formula for Option Pricing.mp48.95MB
104. Python for Finance - Investment Fundamentals & Data Analytics/17 PART II Finance - Monte Carlo simulations as a decision-making tool/The essence of Monte Carlo simulations.mp45.11MB