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| 001 14.Markowitz-Efficient-frontier.xlsx |
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| 001 Arithmetic Operators_en.srt |
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| 001 Arithmetic Operators.mp4 |
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| 001 Introduction to the IF statement_en.srt |
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| 001 Markowitz Portfolio Theory - One of the main pillars of modern Finance_en.srt |
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| 001 Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 |
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| 001 Multivariate regression analysis - a valuable tool for finance practitioners_en.srt |
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| 001 Multivariate regression analysis - a valuable tool for finance practitioners.mp4 |
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| 001 The intuition behind the Capital Asset Pricing Model (CAPM)_en.srt |
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| 003 Obtaining the Efficient Frontier in Python – Part II_en.srt |
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| 003 The benefits of portfolio diversification_en.srt |
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| 003 The Standard Library_en.srt |
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| 003 Why Jupyter_en.srt |
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| 004 A Note on Boolean Values_en.srt |
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| 004 Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 |
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| 004 Trend, Support and Resistance Lines_en.srt |
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| 005 Forecasting Stock Prices with a Monte Carlo Simulation.mp4 |
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| 005 Must-have packages for Finance and Data Science_en.srt |
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| 006 Introducing the Sharpe ratio and how to put it into practice_en.srt |
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| 007 Obtaining the Sharpe ratio in Python_en.srt |
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| 008 Monte Carlo Forecasting Stock Prices - Part III.mp4 |
20.75MB |
| 008 Non-price Based Indicators_en.srt |
7.03KB |
| 008 Non-price Based Indicators.mp4 |
13.36MB |
| 008 pandas DataFrames - Introduction - Part II_en.srt |
7.64KB |
| 008 pandas DataFrames - Introduction - Part II.mp4 |
20.43MB |
| 008 pandas-Series-Introduction-Exercise.ipynb |
5.15KB |
| 008 pandas-Series-Introduction-Lecture.ipynb |
3.12KB |
| 008 pandas-Series-Introduction-Solution.ipynb |
7.90KB |
| 008 Predicting-Stock-Prices-Part-III-Resources.url |
97B |
| 008 Python-for-Finance-Course-Notes-Part-II.pdf |
1.02MB |
| 008 Sales-products.csv |
152.28KB |
| 009 An Introduction to Derivative Contracts_en.srt |
8.22KB |
| 009 An Introduction to Derivative Contracts.mp4 |
11.36MB |
| 009 Lending-company.csv |
112.43KB |
| 009 pandas DataFrames - Common Attributes_en.srt |
6.28KB |
| 009 pandas DataFrames - Common Attributes.mp4 |
25.46MB |
| 009 pandas-DataFrames-Common-Attributes-Exercise.ipynb |
7.21KB |
| 009 pandas-DataFrames-Common-Attributes-Lecture.ipynb |
2.87KB |
| 009 pandas-DataFrames-Common-Attributes-Solution.ipynb |
23.20KB |
| 009 Popular stock indices that can help us understand financial markets.mp4 |
135.73MB |
| 009 Python-for-Finance-Course-Notes-Part-II.pdf |
1.02MB |
| 009 Python-for-Finance-Course-Notes-Part-II.pdf |
1.02MB |
| 009 Python-for-Finance-Course-Notes-Part-II.pdf |
1.02MB |
| 009 Sales-products.csv |
152.28KB |
| 009 Sources of Financial Data_en.srt |
8.64KB |
| 009 Sources of Financial Data.mp4 |
12.24MB |
| 009 Technical Analysis - Cycles_en.srt |
5.82KB |
| 009 Technical Analysis - Cycles.mp4 |
15.87MB |
| 009 Understanding Systematic vs. Idiosyncratic risk_en.srt |
3.59KB |
| 009 Understanding Systematic vs. Idiosyncratic risk.mp4 |
5.74MB |
| 010 Accessing the Notebook Files_en.srt |
3.31KB |
| 010 Accessing the Notebook Files.mp4 |
4.71MB |
| 010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio_en.srt |
5.16KB |
| 010 Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 |
15.61MB |
| 010 Calculating the Indices' Rate of Return_en.srt |
6.30KB |
| 010 Calculating the Indices' Rate of Return.mp4 |
31.89MB |
| 010 Calculating-the-Return-of-Indices-Resources.url |
97B |
| 010 Diversifiable-and-Non-Diversifiable-Risk-Resources.url |
97B |
| 010 Indices-Data-1.csv |
232.89KB |
| 010 Indices-Data-2.csv |
112.19KB |
| 010 Intermarket Analysis_en.srt |
1.78KB |
| 010 Intermarket Analysis.mp4 |
3.45MB |
| 010 Lending-company.csv |
112.43KB |
| 010 pandas DataFrames - Data Selection_en.srt |
10.23KB |
| 010 pandas DataFrames - Data Selection.mp4 |
46.80MB |
| 010 pandas-DataFrames-Data-Selection-Exercise.ipynb |
4.88KB |
| 010 pandas-DataFrames-Data-Selection-Lecture.ipynb |
2.95KB |
| 010 pandas-DataFrames-Data-Selection-Solution.ipynb |
17.28KB |
| 010 Python-for-Finance-Course-Notes-Part-II.pdf |
1.02MB |
| 010 Sales-products.csv |
152.28KB |
| 010 The Black Scholes Formula for Option Pricing_en.srt |
6.21KB |
| 010 The Black Scholes Formula for Option Pricing.mp4 |
8.82MB |
| 011 Importing and Organizing Data in Python – part I_en.srt |
4.55KB |
| 011 Importing and Organizing Data in Python – part I.mp4 |
12.42MB |
| 011 Importing-Data-Part-I.url |
97B |
| 011 Lending-company.csv |
112.43KB |
| 011 Monte Carlo Black-Scholes-Merton_en.srt |
7.78KB |
| 011 Monte Carlo Black-Scholes-Merton.mp4 |
28.99MB |
| 011 Monte-Carlo-Black-Scholes-Merton-Resources.url |
97B |
| 011 pandas-DataFrames-Data-Selection.iloc-Exercise.ipynb |
5.41KB |
| 011 pandas-DataFrames-Data-Selection.iloc-Lecture.ipynb |
3.04KB |
| 011 pandas-DataFrames-Data-Selection.iloc-Solution.ipynb |
18.96KB |
| 011 pandas DataFrames - Data Selection with .iloc[]_en.srt |
8.24KB |
| 011 pandas DataFrames - Data Selection with .iloc[].mp4 |
32.06MB |
| 011 Sales-products.csv |
152.28KB |
| 012 Importing and Organizing Data in Python – part II.A_en.srt |
8.36KB |
| 012 Importing and Organizing Data in Python – part II.A.mp4 |
57.23MB |
| 012 Importing-and-Organizing-Data-in-Python-Resources.url |
97B |
| 012 Lending-company.csv |
112.43KB |
| 012 Monte Carlo Euler Discretization - Part I_en.srt |
8.40KB |
| 012 Monte Carlo Euler Discretization - Part I.mp4 |
30.40MB |
| 012 Monte-Carlo-Euler-Discretization-Part-I-Resources.url |
97B |
| 012 pandas-DataFrames-Data-Selection.loc-Exercise.ipynb |
2.87KB |
| 012 pandas-DataFrames-Data-Selection.loc-Lecture.ipynb |
2.31KB |
| 012 pandas-DataFrames-Data-Selection.loc-Solution.ipynb |
14.28KB |
| 012 pandas DataFrames - Data Selection with .loc[]_en.srt |
5.55KB |
| 012 pandas DataFrames - Data Selection with .loc[].mp4 |
20.72MB |
| 012 Sales-products.csv |
152.28KB |
| 013 Importing and Organizing Data in Python – part II.B_en.srt |
5.30KB |
| 013 Importing and Organizing Data in Python – part II.B.mp4 |
23.78MB |
| 013 Importing-and-Organizing-Data-in-Python-Resources.url |
97B |
| 013 Monte Carlo Euler Discretization - Part II_en.srt |
3.01KB |
| 013 Monte Carlo Euler Discretization - Part II.mp4 |
8.73MB |
| 013 Monte-Carlo-Euler-Discretization-Part-II-Resources.url |
97B |
| 014 Importing and Organizing Data in Python – part III_en.srt |
4.78KB |
| 014 Importing and Organizing Data in Python – part III.mp4 |
25.58MB |
| 014 Importing-and-Organizing-Data-in-Python-Resources.url |
97B |
| 015 Changing the Index of Your Time-Series Data_en.srt |
3.77KB |
| 015 Changing the Index of Your Time-Series Data.mp4 |
21.52MB |
| 015 Changing-the-Index-of-Your-Time-Series-Resources.url |
97B |
| 016 Restarting the Jupyter Kernel_en.srt |
2.92KB |
| 016 Restarting the Jupyter Kernel.mp4 |
20.37MB |
| 016 Restarting-the-Jupyter-Kernel-Resources.url |
97B |
| external-links.txt |
99B |
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321B |
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