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| [CourseClub.ME].url |
122б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 1.1 Final_Project.zip.zip |
2.00Мб |
| 1. Bonus Lecture.html |
66б |
| 1. Course Overview and how to maximize your learning success.mp4 |
70.95Мб |
| 1. Course Overview and how to maximize your learning success.vtt |
10.98Кб |
| 1. Financial Analyst Challenge (Intro).mp4 |
9.97Мб |
| 1. Financial Analyst Challenge (Intro).vtt |
1.56Кб |
| 1. Financial Indexes - an Overview.mp4 |
64.35Мб |
| 1. Financial Indexes - an Overview.vtt |
10.34Кб |
| 1. Helpful DatetimeIndex Attributes and Methods.mp4 |
44.28Мб |
| 1. Helpful DatetimeIndex Attributes and Methods.vtt |
6.29Кб |
| 1. Importing Time Series Data from csv-files.mp4 |
41.75Мб |
| 1. Importing Time Series Data from csv-files.vtt |
8.46Кб |
| 1. Intro.html |
708б |
| 1. Intro.html |
1.33Кб |
| 1. Intro.html |
423б |
| 1. Intro.html |
969б |
| 1. Intro.mp4 |
32.15Мб |
| 1. Intro.mp4 |
22.09Мб |
| 1. Intro.mp4 |
10.00Мб |
| 1. Intro.mp4 |
20.47Мб |
| 1. Intro.mp4 |
16.54Мб |
| 1. Intro.mp4 |
5.95Мб |
| 1. Intro.vtt |
2.77Кб |
| 1. Intro.vtt |
4.23Кб |
| 1. Intro.vtt |
2.00Кб |
| 1. Intro.vtt |
5.01Кб |
| 1. Intro.vtt |
1.73Кб |
| 1. Intro.vtt |
2.55Кб |
| 1. Introduction to Numpy Arrays.mp4 |
41.11Мб |
| 1. Introduction to Numpy Arrays.vtt |
7.79Кб |
| 1. Intro to Tabular Data Pandas.mp4 |
27.55Мб |
| 1. Intro to Tabular Data Pandas.vtt |
5.34Кб |
| 1. Welcome.html |
1.07Кб |
| 1. Welcome to Part 1 Intro.html |
757б |
| 1. Welcome to the Appendix.html |
66б |
| 10. Additional Bonus Question.html |
957б |
| 10. Coding Exercise 17.html |
407б |
| 10. Coding Exercise 3 (Intro).mp4 |
10.52Мб |
| 10. Coding Exercise 3 (Intro).vtt |
1.52Кб |
| 10. Coding Exercise 8 (Intro).mp4 |
9.04Мб |
| 10. Coding Exercise 8 (Intro).vtt |
1014б |
| 10. Conditional Statements (if, elif, else, while).mp4 |
86.02Мб |
| 10. Conditional Statements (if, elif, else, while).vtt |
13.44Кб |
| 10. Downsampling Time Series with resample (Part 2).mp4 |
49.13Мб |
| 10. Downsampling Time Series with resample (Part 2).vtt |
8.81Кб |
| 10. Explore your own Dataset Coding Exercise 1 (Solution).mp4 |
39.47Мб |
| 10. Explore your own Dataset Coding Exercise 1 (Solution).vtt |
5.01Кб |
| 10. Market Value-Weighted Index - Theory.mp4 |
42.75Мб |
| 10. Market Value-Weighted Index - Theory.vtt |
9.51Кб |
| 10. Portfolios.html |
146б |
| 10. Redefining the Market Portfolio.mp4 |
45.82Мб |
| 10. Redefining the Market Portfolio.vtt |
7.61Кб |
| 10. Risk & Return.html |
146б |
| 10. Seaborn Heatmaps.mp4 |
42.75Мб |
| 10. Seaborn Heatmaps.vtt |
9.03Кб |
| 10. Summary Statistics.mp4 |
44.82Мб |
| 10. Summary Statistics.vtt |
7.45Кб |
| 10. The S&P 500 Return Triangle (Part 1).mp4 |
56.32Мб |
| 10. The S&P 500 Return Triangle (Part 1).vtt |
6.73Кб |
| 10. The Timedelta Object.mp4 |
42.81Мб |
| 10. The Timedelta Object.vtt |
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| 11. Coding Exercise 15 (Intro).mp4 |
22.50Мб |
| 11. Coding Exercise 15 (Intro).vtt |
3.03Кб |
| 11. Coding Exercise 3 (Solution).mp4 |
35.90Мб |
| 11. Coding Exercise 3 (Solution).vtt |
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| 11. Coding Exercise 7 (Intro).mp4 |
10.69Мб |
| 11. Coding Exercise 7 (Intro).vtt |
1014б |
| 11. Coding Exercise 8 (Solution).mp4 |
54.60Мб |
| 11. Coding Exercise 8 (Solution).vtt |
6.48Кб |
| 11. Cyclical vs. non-cyclical Stocks - another Intuition on Beta.mp4 |
40.55Мб |
| 11. Cyclical vs. non-cyclical Stocks - another Intuition on Beta.vtt |
6.61Кб |
| 11. Financial Time Series - Covariance and Correlation.mp4 |
25.73Мб |
| 11. Financial Time Series - Covariance and Correlation.vtt |
4.88Кб |
| 11. For Loops.mp4 |
58.37Мб |
| 11. For Loops.vtt |
9.94Кб |
| 11. Selecting Columns.mp4 |
38.56Мб |
| 11. Selecting Columns.vtt |
7.84Кб |
| 11. The PeriodIndex object.mp4 |
38.78Мб |
| 11. The PeriodIndex object.vtt |
6.24Кб |
| 11. The S&P 500 Return Triangle (Part 2).mp4 |
60.35Мб |
| 11. The S&P 500 Return Triangle (Part 2).vtt |
9.65Кб |
| 11. Visualization and (Linear) Regression.mp4 |
84.47Мб |
| 11. Visualization and (Linear) Regression.vtt |
12.59Кб |
| 11. VWI.html |
146б |
| 12. Advanced Indexing with reindex().mp4 |
50.48Мб |
| 12. Advanced Indexing with reindex().vtt |
8.94Кб |
| 12. Beta and Alpha.html |
146б |
| 12. Coding Exercise 12 (intro).mp4 |
17.53Мб |
| 12. Coding Exercise 12 (intro).vtt |
2.60Кб |
| 12. Coding Exercise 15 (Solution).mp4 |
88.50Мб |
| 12. Coding Exercise 15 (Solution).vtt |
10.58Кб |
| 12. Coding Exercise 7 (Solution).mp4 |
62.15Мб |
| 12. Coding Exercise 7 (Solution).vtt |
7.33Кб |
| 12. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4 |
49.80Мб |
| 12. Creating a Market Value-Weighted Stock Index with Python (Part 1).vtt |
8.68Кб |
| 12. First Steps with Pandas Index Objects.mp4 |
43.04Мб |
| 12. First Steps with Pandas Index Objects.vtt |
5.84Кб |
| 12. Interpreting the Return Triangle.html |
146б |
| 12. Introduction to GroupBy Operations.mp4 |
10.06Мб |
| 12. Introduction to GroupBy Operations.vtt |
2.33Кб |
| 12. Key words break, pass, continue.mp4 |
36.73Мб |
| 12. Key words break, pass, continue.vtt |
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| 12. Numpy.html |
146б |
| 12. Selecting Rows with Square Brackets (not advisable).mp4 |
22.05Мб |
| 12. Selecting Rows with Square Brackets (not advisable).vtt |
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| 13. Changing Row Index with set_index() and reset_index().mp4 |
75.07Мб |
| 13. Changing Row Index with set_index() and reset_index().vtt |
10.38Кб |
| 13. Coding Exercise 11 (intro).mp4 |
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| 13. Coding Exercise 11 (intro).vtt |
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| 13. Coding Exercise 12 (Solution).mp4 |
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| 13. Coding Exercise 12 (Solution).vtt |
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| 13. Coding Exercise 16 (Intro).mp4 |
18.78Мб |
| 13. Coding Exercise 16 (Intro).vtt |
2.70Кб |
| 13. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4 |
44.26Мб |
| 13. Creating a Market Value-Weighted Stock Index with Python (Part 2).vtt |
7.63Кб |
| 13. Generating Random Numbers.mp4 |
38.12Мб |
| 13. Generating Random Numbers.vtt |
6.83Кб |
| 13. Numpy Quiz Solution.mp4 |
45.45Мб |
| 13. Numpy Quiz Solution.vtt |
14.27Кб |
| 13. Selecting Rows with iloc (position-based indexing).mp4 |
53.96Мб |
| 13. Selecting Rows with iloc (position-based indexing).vtt |
7.42Кб |
| 13. The S&P 500 Dollar Triangle.mp4 |
32.94Мб |
| 13. The S&P 500 Dollar Triangle.vtt |
4.25Кб |
| 13. Understanding the GroupBy Object.mp4 |
46.25Мб |
| 13. Understanding the GroupBy Object.vtt |
8.56Кб |
| 14. Changing Column Labels.mp4 |
21.18Мб |
| 14. Changing Column Labels.vtt |
3.49Кб |
| 14. Coding Exercise 11 (Solution).mp4 |
44.08Мб |
| 14. Coding Exercise 11 (Solution).vtt |
5.40Кб |
| 14. Coding Exercise 16 (Solution).mp4 |
68.45Мб |
| 14. Coding Exercise 16 (Solution).vtt |
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| 14. Comparison of weighting methods.mp4 |
32.48Мб |
| 14. Comparison of weighting methods.vtt |
5.95Кб |
| 14. Slicing Rows and Columns with iloc (position-based indexing).mp4 |
25.92Мб |
| 14. Slicing Rows and Columns with iloc (position-based indexing).vtt |
5.38Кб |
| 14. Splitting with many Keys.mp4 |
49.71Мб |
| 14. Splitting with many Keys.vtt |
7.15Кб |
| 14. The S&P 500 Weather Radar.mp4 |
41.90Мб |
| 14. The S&P 500 Weather Radar.vtt |
4.62Кб |
| 14. User Defined Functions (Part 1).mp4 |
64.38Мб |
| 14. User Defined Functions (Part 1).vtt |
9.21Кб |
| 15. Exponentially-weighted Moving Averages (EWMA).mp4 |
23.78Мб |
| 15. Exponentially-weighted Moving Averages (EWMA).vtt |
4.95Кб |
| 15. Position-based Indexing Cheat Sheets.html |
700б |
| 15. Price Index vs. PerformanceTotal Return Index.mp4 |
39.53Мб |
| 15. Price Index vs. PerformanceTotal Return Index.vtt |
6.74Кб |
| 15. Renaming Index & Column Labels with rename().mp4 |
33.54Мб |
| 15. Renaming Index & Column Labels with rename().vtt |
4.71Кб |
| 15. split-apply-combine.mp4 |
47.06Мб |
| 15. split-apply-combine.vtt |
10.37Кб |
| 15. User Defined Functions (Part 2).mp4 |
57.43Мб |
| 15. User Defined Functions (Part 2).vtt |
6.75Кб |
| 16. Coding Exercise 14 (intro).mp4 |
11.36Мб |
| 16. Coding Exercise 14 (intro).vtt |
1.59Кб |
| 16. Expanding Windows.mp4 |
25.12Мб |
| 16. Expanding Windows.vtt |
5.07Кб |
| 16. Pandas Index Objects.html |
146б |
| 16. Selecting Rows with loc (label-based indexing).mp4 |
30.36Мб |
| 16. Selecting Rows with loc (label-based indexing).vtt |
5.70Кб |
| 16. split-apply-combine applied.mp4 |
70.71Мб |
| 16. split-apply-combine applied.vtt |
12.50Кб |
| 16. User Defined Functions (Part 3).mp4 |
52.16Мб |
| 17. Coding Exercise 14 (Solution).mp4 |
69.87Мб |
| 17. Coding Exercise 14 (Solution).vtt |
7.88Кб |
| 17. Coding Exercise 4 (Intro).mp4 |
7.67Мб |
| 17. Coding Exercise 4 (Intro).vtt |
1.20Кб |
| 17. Hierarchical Indexing with Groupby.mp4 |
32.86Мб |
| 17. Hierarchical Indexing with Groupby.vtt |
6.69Кб |
| 17. Rolling Correlation.mp4 |
32.24Мб |
| 17. Rolling Correlation.vtt |
7.78Кб |
| 17. Slicing Rows and Columns with loc (label-based indexing).mp4 |
91.41Мб |
| 17. Slicing Rows and Columns with loc (label-based indexing).vtt |
10.82Кб |
| 17. Visualization with Matplotlib.mp4 |
124.27Мб |
| 17. Visualization with Matplotlib.vtt |
14.49Кб |
| 18. Coding Exercise 4 (Solution).mp4 |
27.34Мб |
| 18. Coding Exercise 4 (Solution).vtt |
3.86Кб |
| 18. Label-based Indexing Cheat Sheets.html |
700б |
| 18. Python Basics.html |
146б |
| 18. rollling() with fixed-sized time offsets.mp4 |
33.02Мб |
| 18. rollling() with fixed-sized time offsets.vtt |
6.66Кб |
| 18. stack() and unstack().mp4 |
78.77Мб |
| 18. stack() and unstack().vtt |
14.50Кб |
| 19. GroupBy.html |
146б |
| 19. Merging Aligning Financial Time Series (hands-on).mp4 |
30.69Мб |
| 19. Merging Aligning Financial Time Series (hands-on).vtt |
5.21Кб |
| 19. Quiz Solution.mp4 |
38.25Мб |
| 19. Quiz Solution.vtt |
12.42Кб |
| 19. Sorting DataFrames with sort_index() and sort_values().mp4 |
54.38Мб |
| 19. Sorting DataFrames with sort_index() and sort_values().vtt |
9.46Кб |
| 19. Summary and Outlook.mp4 |
62.13Мб |
| 19. Summary and Outlook.vtt |
10.18Кб |
| 2. Capital Market Line (CML) & Two-Fund-Theorem.mp4 |
15.81Мб |
| 2. Capital Market Line (CML) & Two-Fund-Theorem.vtt |
3.53Кб |
| 2. Converting strings to datetime objects with pd.to_datetime().mp4 |
57.97Мб |
| 2. Converting strings to datetime objects with pd.to_datetime().vtt |
9.70Кб |
| 2. Filling NA Values with bfill, ffill and interpolation.mp4 |
78.47Мб |
| 2. Filling NA Values with bfill, ffill and interpolation.vtt |
10.45Кб |
| 2. Financial Analyst Challenge (Instruction & Hints).mp4 |
31.59Мб |
| 2. Financial Analyst Challenge (Instruction & Hints).vtt |
4.03Кб |
| 2. Financial Indexes.html |
146б |
| 2. First Steps.mp4 |
34.23Мб |
| 2. First Steps.vtt |
8.78Кб |
| 2. First Steps with Pandas Series.mp4 |
35.96Мб |
| 2. First Steps with Pandas Series.vtt |
7.06Кб |
| 2. Getting Ready (Installing required libraries).mp4 |
18.82Мб |
| 2. Getting Ready (Installing required libraries).vtt |
1.60Кб |
| 2. Getting Ready (Installing required library).mp4 |
21.77Мб |
| 2. Getting Ready (Installing required library).vtt |
2.41Кб |
| 2. Getting the Data.mp4 |
12.25Мб |
| 2. Getting the Data.vtt |
2.16Кб |
| 2. Importing Financial Data from Excel.mp4 |
80.67Мб |
| 2. Importing Financial Data from Excel.vtt |
11.94Кб |
| 2. Mean-Variance Optimization (MVO).mp4 |
61.73Мб |
| 2. Mean-Variance Optimization (MVO).vtt |
9.13Кб |
| 2. Numpy Arrays Vectorization.mp4 |
64.73Мб |
| 2. Numpy Arrays Vectorization.vtt |
8.72Кб |
| 2. Removing Columns.mp4 |
36.06Мб |
| 2. Removing Columns.vtt |
5.31Кб |
| 2. Tabular Data Cheat Sheets.html |
383б |
| 2. Tips How to get the most out of this Course.mp4 |
43.64Мб |
| 2. Tips How to get the most out of this Course.vtt |
5.83Кб |
| 2. Visualization with Matplotlib (Intro).mp4 |
70.28Мб |
| 2. Visualization with Matplotlib (Intro).vtt |
9.47Кб |
| 20. Coding Exercise 13 (intro).mp4 |
20.62Мб |
| 20. Coding Exercise 13 (intro).vtt |
2.80Кб |
| 20. Coding Exercise 9 (Intro).mp4 |
7.84Мб |
| 20. Coding Exercise 9 (Intro).vtt |
1.01Кб |
| 20. Indexing and Slicing.html |
146б |
| 20. nunique() and nlargest() nsmallest() with DataFrames.mp4 |
32.62Мб |
| 20. nunique() and nlargest() nsmallest() with DataFrames.vtt |
5.56Кб |
| 21. Coding Exercise 13 (Solution).mp4 |
96.57Мб |
| 21. Coding Exercise 13 (Solution).vtt |
12.13Кб |
| 21. Coding Exercise 2 (Intro).mp4 |
8.64Мб |
| 21. Coding Exercise 2 (Intro).vtt |
1.46Кб |
| 21. Coding Exercise 9 (Solution).mp4 |
44.46Мб |
| 21. Coding Exercise 9 (Solution).vtt |
6.53Кб |
| 21. Filtering DataFrames (one Condition).mp4 |
52.91Мб |
| 21. Filtering DataFrames (one Condition).vtt |
11.10Кб |
| 22. Coding Exercise 2 (Solution).mp4 |
50.56Мб |
| 22. Coding Exercise 2 (Solution).vtt |
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| 22. Filtering DataFrames by many Conditions (AND).mp4 |
25.90Мб |
| 22. Filtering DataFrames by many Conditions (AND).vtt |
4.57Кб |
| 23. Filtering DataFrames by many Conditions (OR).mp4 |
30.79Мб |
| 23. Filtering DataFrames by many Conditions (OR).vtt |
5.09Кб |
| 24. Advanced Filtering with between(), isin() and ~.mp4 |
65.45Мб |
| 24. Advanced Filtering with between(), isin() and ~.vtt |
7.95Кб |
| 25. any() and all().mp4 |
17.51Мб |
| 25. any() and all().vtt |
4.09Кб |
| 26. Sorting and Filtering.html |
146б |
| 27. Coding Exercise 5 (Intro).mp4 |
11.00Мб |
| 27. Coding Exercise 5 (Intro).vtt |
1.38Кб |
| 28. Coding Exercise 5 (Solution).mp4 |
71.87Мб |
| 28. Coding Exercise 5 (Solution).vtt |
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| 29. Intro to NA Values missing Values.mp4 |
45.65Мб |
| 29. Intro to NA Values missing Values.vtt |
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| 3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 |
72.67Мб |
| 3. Analyzing Numerical Series with unique(), nunique() and value_counts().vtt |
12.93Кб |
| 3. Creating Offline Graphs in Jupyter Notebooks.mp4 |
55.39Мб |
| 3. Creating Offline Graphs in Jupyter Notebooks.vtt |
6.96Кб |
| 3. Creating the equally-weighted Portfolio.mp4 |
54.30Мб |
| 3. Creating the equally-weighted Portfolio.vtt |
8.68Кб |
| 3. Customization of Plots.mp4 |
103.10Мб |
| 3. Customization of Plots.vtt |
12.15Кб |
| 3. Did you know that....mp4 |
26.85Мб |
| 3. Did you know that....vtt |
3.29Кб |
| 3. Financial Analyst Challenge (Solution Part 1).mp4 |
18.28Мб |
| 3. Financial Analyst Challenge (Solution Part 1).vtt |
2.14Кб |
| 3. First Steps (Inspection of Data, Part 1).mp4 |
45.20Мб |
| 3. First Steps (Inspection of Data, Part 1).vtt |
5.92Кб |
| 3. Getting the Data.mp4 |
28.05Мб |
| 3. Getting the Data.vtt |
3.54Кб |
| 3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4 |
71.86Мб |
| 3. Importing Stock Price Data from Yahoo Finance (it still works!).vtt |
8.81Кб |
| 3. Initial Analysis Visualization of Time Series.mp4 |
35.02Мб |
| 3. Initial Analysis Visualization of Time Series.vtt |
5.98Кб |
| 3. It´s not that simple - Part 1 (Investments 101 vs. Real World).mp4 |
50.48Мб |
| 3. It´s not that simple - Part 1 (Investments 101 vs. Real World).vtt |
6.68Кб |
| 3. Numpy Arrays Indexing and Slicing.mp4 |
53.46Мб |
| 3. Removing Rows.mp4 |
49.66Мб |
| 3. Removing Rows.vtt |
7.20Кб |
| 3. resample() and agg().mp4 |
46.64Мб |
| 3. resample() and agg().vtt |
5.17Кб |
| 3. Simple Moving Averages (SMA) with rolling().mp4 |
40.98Мб |
| 3. Simple Moving Averages (SMA) with rolling().vtt |
9.45Кб |
| 3. Two-Fund-Theorem.html |
146б |
| 3. Variables.mp4 |
31.45Мб |
| 3. Variables.vtt |
7.12Кб |
| 30. Handling NA Values missing Values.mp4 |
68.61Мб |
| 30. Handling NA Values missing Values.vtt |
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| 31. Exporting DataFrames to csv.mp4 |
13.25Мб |
| 31. Exporting DataFrames to csv.vtt |
2.43Кб |
| 32. Summary Statistics and Accumulations.mp4 |
57.58Мб |
| 32. Summary Statistics and Accumulations.vtt |
10.30Кб |
| 33. The agg() method.mp4 |
22.81Мб |
| 33. The agg() method.vtt |
3.71Кб |
| 34. Coding Exercise 6 (Intro).mp4 |
15.33Мб |
| 34. Coding Exercise 6 (Intro).vtt |
1.91Кб |
| 35. Coding Exercise 6 (Solution).mp4 |
83.91Мб |
| 35. Coding Exercise 6 (Solution).vtt |
10.95Кб |
| 4. Adding new Columns to a DataFrame.mp4 |
17.89Мб |
| 4. Adding new Columns to a DataFrame.vtt |
3.42Кб |
| 4. Changing Expected Returns.mp4 |
42.91Мб |
| 4. Changing Expected Returns.vtt |
6.79Кб |
| 4. Creating many random Portfolios with Python.mp4 |
72.47Мб |
| 4. Creating many random Portfolios with Python.vtt |
11.82Кб |
| 4. Data Types Integers & Floats.mp4 |
49.51Мб |
| 4. Data Types Integers & Floats.vtt |
7.59Кб |
| 4. FAQ Important Information.html |
5.44Кб |
| 4. Financial Analyst Challenge (Solution Part 2).mp4 |
56.51Мб |
| 4. Financial Analyst Challenge (Solution Part 2).vtt |
7.42Кб |
| 4. First Steps (Inspection of Data, Part 2).mp4 |
56.78Мб |
| 4. First Steps (Inspection of Data, Part 2).vtt |
8.68Кб |
| 4. Histogramms (Part 1).mp4 |
24.60Мб |
| 4. Histogramms (Part 1).vtt |
4.65Кб |
| 4. Indexing and Slicing Time Series.mp4 |
48.16Мб |
| 4. Indexing and Slicing Time Series.vtt |
7.44Кб |
| 4. Initial Inspection and Visualization.mp4 |
42.33Мб |
| 4. Initial Inspection and Visualization.vtt |
5.33Кб |
| 4. Interactive Price Charts with Plotly.mp4 |
38.69Мб |
| 4. Interactive Price Charts with Plotly.vtt |
4.79Кб |
| 4. Momentum Trading Strategies with SMAs.mp4 |
33.01Мб |
| 4. Momentum Trading Strategies with SMAs.vtt |
7.75Кб |
| 4. Numpy Arrays Shape and Dimensions.mp4 |
35.52Мб |
| 4. Numpy Arrays Shape and Dimensions.vtt |
6.05Кб |
| 4. Price-Weighted Index - Theory.mp4 |
34.95Мб |
| 4. Price-Weighted Index - Theory.vtt |
9.16Кб |
| 4. resample() and OHLC().mp4 |
8.79Мб |
| 4. resample() and OHLC().vtt |
1.45Кб |
| 4. The Portfolio Diversification Effect.mp4 |
86.50Мб |
| 4. The Portfolio Diversification Effect.vtt |
13.24Кб |
| 4. UPDATE Pandas Version 0.24.0 (Jan 2019).html |
369б |
| 5.1 Video-Lecture-NBs.zip.zip |
2.38Мб |
| 5. Arithmetic Operations (Part 1).mp4 |
63.51Мб |
| 5. Arithmetic Operations (Part 1).vtt |
12.88Кб |
| 5. Coding Exercise 0 Coding the Video Lectures.mp4 |
113.37Мб |
| 5. Coding Exercise 0 Coding the Video Lectures.vtt |
15.56Кб |
| 5. Creating a customized DatetimeIndex with pd.date_range().mp4 |
114.71Мб |
| 5. Creating a customized DatetimeIndex with pd.date_range().vtt |
15.73Кб |
| 5. Customizing Plotly Charts.mp4 |
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| 5. Data Types Strings.mp4 |
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| 5. EXCURSUS Updating Pandas Anaconda.mp4 |
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| 5. Financial Analyst Challenge (Solution Part 3).mp4 |
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| 5. Histogramms (Part 2).mp4 |
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| 5. Installation of Anaconda.mp4 |
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| 5. It´s not that simple - Part 2 (Investments 101 vs. Real World).mp4 |
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| 5. Normalizing Time Series to a Base Value (100).mp4 |
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| 5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4 |
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| 5. PWI.html |
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| 5. Systematic vs. unsystematic Risk.mp4 |
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| 5. Trading Strategies.html |
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| 5. Upsampling with resample().mp4 |
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| 5. What is the Sharpe Ratio and a Risk Free Asset.mp4 |
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| 6. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 |
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| 6. Arithmetic Operations (Part 2).mp4 |
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| 6. Built-in Functions, Attributes and Methods.mp4 |
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| 6. Creating a Price-Weighted Stock Index with Python.mp4 |
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| 6. Data Types Lists (Part 1).mp4 |
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| 6. Financial Analyst Challenge (Solution Part 4).mp4 |
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| 6. Interactive Histograms with Plotly.mp4 |
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| 6. More on pd.date_range().mp4 |
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| 6. Portfolio Analysis and the Sharpe Ratio with Python.mp4 |
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| 6. Risk Diversification.html |
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| 6. S&P 500 Performance Reporting - rolling risk and return.mp4 |
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| 7. Candle-Stick and OHLC Charts with Plotly.mp4 |
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| 7. Capital Asset Pricing Model (CAPM) & Security Market Line (SLM).mp4 |
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| 7. Coding Exercise 10 (intro).mp4 |
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| 7. Equal-Weighted Index - Theory.mp4 |
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| 7. Financial Analyst Challenge (Solution Part 5).mp4 |
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| 7. First Steps with Seaborn.mp4 |
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| 7. Generating Random Numbers.mp4 |
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| 7. How to use Jupyter Notebooks.mp4 |
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| 7. Make it easy TAB Completion and Tooltip.mp4 |
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| 7. S&P 500 Investment Horizon and Performance.mp4 |
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| 7. Sharpe Ratio and Risk Free Asset.html |
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| 7. The copy() method.mp4 |
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| 7. The methods diff() and pct_change().mp4 |
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| 7. Timezones and Converting (Part 2).mp4 |
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| 8. Adding new Rows to a DataFrame.mp4 |
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| 8. CAPM.html |
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| 8. Categorical Seaborn Plots.mp4 |
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| 8. Coding Exercise 10 (Solution).mp4 |
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| 8. Financial Analyst Challenge (Solution Part 6).mp4 |
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| 8. Finding the Optimal Portfolio.mp4 |
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| 8. Finding the Optimal Portfolio.vtt |
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| 8. First Steps.html |
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| 8. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 |
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| 8. Measuring Stock Performance with MEAN Returns and STD of Returns.vtt |
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| 8. Performance Issues.mp4 |
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| 8. Shifting Dates with pd.DateOffset().mp4 |
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| 8. Simple Returns vs. Log Returns.mp4 |
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| 8. Simple Returns vs. Log Returns.vtt |
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| 8. SMA and Bollinger Bands with Plotly.mp4 |
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| 8. Sorting of Series and Introduction to the inplace - parameter.mp4 |
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| 9.1 Finance_Data_Exc.zip.zip |
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| 9. Advanced Date Shifting.mp4 |
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| 9. Beta and Alpha.mp4 |
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| 9. Case Study Numpy vs. Python Standard Library.mp4 |
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| 9. Creating an Equal-Weighted Stock Index with Python.mp4 |
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| 9. Downsampling Time Series with resample() (Part 1).mp4 |
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| 9. Explore your own Dataset Coding Exercise 1 (Intro).mp4 |
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| 9. Financial Analyst Challenge (Solution Part 7).mp4 |
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| 9. Financial Analyst Challenge (Solution Part 7).vtt |
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| 9. Financial Time Series - Return and Risk.mp4 |
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| 9. Manipulating Elements in a DataFrame.mp4 |
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| 9. More Technical Indicators with Plotly (Volume, MACD, DMI).mp4 |
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| 9. Operators & Booleans.mp4 |
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| 9. Seaborn Regression Plots.mp4 |
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| 9. Sharpe Ratio - visualized and explained.mp4 |
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| 9. Simple Returns vs. Log Returns.html |
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