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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [CourseClub.ME].url |
122B |
| [FCS Forum].url |
133B |
| [FreeCourseSite.com].url |
127B |
| 1.1 Final_Project.zip.zip |
2.00MB |
| 1. Bonus Lecture.html |
66B |
| 1. Course Overview and how to maximize your learning success.mp4 |
70.95MB |
| 1. Course Overview and how to maximize your learning success.vtt |
10.98KB |
| 1. Financial Analyst Challenge (Intro).mp4 |
9.97MB |
| 1. Financial Analyst Challenge (Intro).vtt |
1.56KB |
| 1. Financial Indexes - an Overview.mp4 |
64.35MB |
| 1. Financial Indexes - an Overview.vtt |
10.34KB |
| 1. Helpful DatetimeIndex Attributes and Methods.mp4 |
44.28MB |
| 1. Helpful DatetimeIndex Attributes and Methods.vtt |
6.29KB |
| 1. Importing Time Series Data from csv-files.mp4 |
41.75MB |
| 1. Importing Time Series Data from csv-files.vtt |
8.46KB |
| 1. Intro.html |
708B |
| 1. Intro.html |
1.33KB |
| 1. Intro.html |
423B |
| 1. Intro.html |
969B |
| 1. Intro.mp4 |
32.15MB |
| 1. Intro.mp4 |
22.09MB |
| 1. Intro.mp4 |
10.00MB |
| 1. Intro.mp4 |
20.47MB |
| 1. Intro.mp4 |
16.54MB |
| 1. Intro.mp4 |
5.95MB |
| 1. Intro.vtt |
2.77KB |
| 1. Intro.vtt |
4.23KB |
| 1. Intro.vtt |
2.00KB |
| 1. Intro.vtt |
5.01KB |
| 1. Intro.vtt |
1.73KB |
| 1. Intro.vtt |
2.55KB |
| 1. Introduction to Numpy Arrays.mp4 |
41.11MB |
| 1. Introduction to Numpy Arrays.vtt |
7.79KB |
| 1. Intro to Tabular Data Pandas.mp4 |
27.55MB |
| 1. Intro to Tabular Data Pandas.vtt |
5.34KB |
| 1. Welcome.html |
1.07KB |
| 1. Welcome to Part 1 Intro.html |
757B |
| 1. Welcome to the Appendix.html |
66B |
| 10. Additional Bonus Question.html |
957B |
| 10. Coding Exercise 17.html |
407B |
| 10. Coding Exercise 3 (Intro).mp4 |
10.52MB |
| 10. Coding Exercise 3 (Intro).vtt |
1.52KB |
| 10. Coding Exercise 8 (Intro).mp4 |
9.04MB |
| 10. Coding Exercise 8 (Intro).vtt |
1014B |
| 10. Conditional Statements (if, elif, else, while).mp4 |
86.02MB |
| 10. Conditional Statements (if, elif, else, while).vtt |
13.44KB |
| 10. Downsampling Time Series with resample (Part 2).mp4 |
49.13MB |
| 10. Downsampling Time Series with resample (Part 2).vtt |
8.81KB |
| 10. Explore your own Dataset Coding Exercise 1 (Solution).mp4 |
39.47MB |
| 10. Explore your own Dataset Coding Exercise 1 (Solution).vtt |
5.01KB |
| 10. Market Value-Weighted Index - Theory.mp4 |
42.75MB |
| 10. Market Value-Weighted Index - Theory.vtt |
9.51KB |
| 10. Portfolios.html |
146B |
| 10. Redefining the Market Portfolio.mp4 |
45.82MB |
| 10. Redefining the Market Portfolio.vtt |
7.61KB |
| 10. Risk & Return.html |
146B |
| 10. Seaborn Heatmaps.mp4 |
42.75MB |
| 10. Seaborn Heatmaps.vtt |
9.03KB |
| 10. Summary Statistics.mp4 |
44.82MB |
| 10. Summary Statistics.vtt |
7.45KB |
| 10. The S&P 500 Return Triangle (Part 1).mp4 |
56.32MB |
| 10. The S&P 500 Return Triangle (Part 1).vtt |
6.73KB |
| 10. The Timedelta Object.mp4 |
42.81MB |
| 10. The Timedelta Object.vtt |
8.22KB |
| 11. Coding Exercise 15 (Intro).mp4 |
22.50MB |
| 11. Coding Exercise 15 (Intro).vtt |
3.03KB |
| 11. Coding Exercise 3 (Solution).mp4 |
35.90MB |
| 11. Coding Exercise 3 (Solution).vtt |
5.20KB |
| 11. Coding Exercise 7 (Intro).mp4 |
10.69MB |
| 11. Coding Exercise 7 (Intro).vtt |
1014B |
| 11. Coding Exercise 8 (Solution).mp4 |
54.60MB |
| 11. Coding Exercise 8 (Solution).vtt |
6.48KB |
| 11. Cyclical vs. non-cyclical Stocks - another Intuition on Beta.mp4 |
40.55MB |
| 11. Cyclical vs. non-cyclical Stocks - another Intuition on Beta.vtt |
6.61KB |
| 11. Financial Time Series - Covariance and Correlation.mp4 |
25.73MB |
| 11. Financial Time Series - Covariance and Correlation.vtt |
4.88KB |
| 11. For Loops.mp4 |
58.37MB |
| 11. For Loops.vtt |
9.94KB |
| 11. Selecting Columns.mp4 |
38.56MB |
| 11. Selecting Columns.vtt |
7.84KB |
| 11. The PeriodIndex object.mp4 |
38.78MB |
| 11. The PeriodIndex object.vtt |
6.24KB |
| 11. The S&P 500 Return Triangle (Part 2).mp4 |
60.35MB |
| 11. The S&P 500 Return Triangle (Part 2).vtt |
9.65KB |
| 11. Visualization and (Linear) Regression.mp4 |
84.47MB |
| 11. Visualization and (Linear) Regression.vtt |
12.59KB |
| 11. VWI.html |
146B |
| 12. Advanced Indexing with reindex().mp4 |
50.48MB |
| 12. Advanced Indexing with reindex().vtt |
8.94KB |
| 12. Beta and Alpha.html |
146B |
| 12. Coding Exercise 12 (intro).mp4 |
17.53MB |
| 12. Coding Exercise 12 (intro).vtt |
2.60KB |
| 12. Coding Exercise 15 (Solution).mp4 |
88.50MB |
| 12. Coding Exercise 15 (Solution).vtt |
10.58KB |
| 12. Coding Exercise 7 (Solution).mp4 |
62.15MB |
| 12. Coding Exercise 7 (Solution).vtt |
7.33KB |
| 12. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4 |
49.80MB |
| 12. Creating a Market Value-Weighted Stock Index with Python (Part 1).vtt |
8.68KB |
| 12. First Steps with Pandas Index Objects.mp4 |
43.04MB |
| 12. First Steps with Pandas Index Objects.vtt |
5.84KB |
| 12. Interpreting the Return Triangle.html |
146B |
| 12. Introduction to GroupBy Operations.mp4 |
10.06MB |
| 12. Introduction to GroupBy Operations.vtt |
2.33KB |
| 12. Key words break, pass, continue.mp4 |
36.73MB |
| 12. Key words break, pass, continue.vtt |
6.37KB |
| 12. Numpy.html |
146B |
| 12. Selecting Rows with Square Brackets (not advisable).mp4 |
22.05MB |
| 12. Selecting Rows with Square Brackets (not advisable).vtt |
3.97KB |
| 13. Changing Row Index with set_index() and reset_index().mp4 |
75.07MB |
| 13. Changing Row Index with set_index() and reset_index().vtt |
10.38KB |
| 13. Coding Exercise 11 (intro).mp4 |
8.76MB |
| 13. Coding Exercise 11 (intro).vtt |
1.16KB |
| 13. Coding Exercise 12 (Solution).mp4 |
55.95MB |
| 13. Coding Exercise 12 (Solution).vtt |
7.91KB |
| 13. Coding Exercise 16 (Intro).mp4 |
18.78MB |
| 13. Coding Exercise 16 (Intro).vtt |
2.70KB |
| 13. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4 |
44.26MB |
| 13. Creating a Market Value-Weighted Stock Index with Python (Part 2).vtt |
7.63KB |
| 13. Generating Random Numbers.mp4 |
38.12MB |
| 13. Generating Random Numbers.vtt |
6.83KB |
| 13. Numpy Quiz Solution.mp4 |
45.45MB |
| 13. Numpy Quiz Solution.vtt |
14.27KB |
| 13. Selecting Rows with iloc (position-based indexing).mp4 |
53.96MB |
| 13. Selecting Rows with iloc (position-based indexing).vtt |
7.42KB |
| 13. The S&P 500 Dollar Triangle.mp4 |
32.94MB |
| 13. The S&P 500 Dollar Triangle.vtt |
4.25KB |
| 13. Understanding the GroupBy Object.mp4 |
46.25MB |
| 13. Understanding the GroupBy Object.vtt |
8.56KB |
| 14. Changing Column Labels.mp4 |
21.18MB |
| 14. Changing Column Labels.vtt |
3.49KB |
| 14. Coding Exercise 11 (Solution).mp4 |
44.08MB |
| 14. Coding Exercise 11 (Solution).vtt |
5.40KB |
| 14. Coding Exercise 16 (Solution).mp4 |
68.45MB |
| 14. Coding Exercise 16 (Solution).vtt |
9.12KB |
| 14. Comparison of weighting methods.mp4 |
32.48MB |
| 14. Comparison of weighting methods.vtt |
5.95KB |
| 14. Slicing Rows and Columns with iloc (position-based indexing).mp4 |
25.92MB |
| 14. Slicing Rows and Columns with iloc (position-based indexing).vtt |
5.38KB |
| 14. Splitting with many Keys.mp4 |
49.71MB |
| 14. Splitting with many Keys.vtt |
7.15KB |
| 14. The S&P 500 Weather Radar.mp4 |
41.90MB |
| 14. The S&P 500 Weather Radar.vtt |
4.62KB |
| 14. User Defined Functions (Part 1).mp4 |
64.38MB |
| 14. User Defined Functions (Part 1).vtt |
9.21KB |
| 15. Exponentially-weighted Moving Averages (EWMA).mp4 |
23.78MB |
| 15. Exponentially-weighted Moving Averages (EWMA).vtt |
4.95KB |
| 15. Position-based Indexing Cheat Sheets.html |
700B |
| 15. Price Index vs. PerformanceTotal Return Index.mp4 |
39.53MB |
| 15. Price Index vs. PerformanceTotal Return Index.vtt |
6.74KB |
| 15. Renaming Index & Column Labels with rename().mp4 |
33.54MB |
| 15. Renaming Index & Column Labels with rename().vtt |
4.71KB |
| 15. split-apply-combine.mp4 |
47.06MB |
| 15. split-apply-combine.vtt |
10.37KB |
| 15. User Defined Functions (Part 2).mp4 |
57.43MB |
| 15. User Defined Functions (Part 2).vtt |
6.75KB |
| 16. Coding Exercise 14 (intro).mp4 |
11.36MB |
| 16. Coding Exercise 14 (intro).vtt |
1.59KB |
| 16. Expanding Windows.mp4 |
25.12MB |
| 16. Expanding Windows.vtt |
5.07KB |
| 16. Pandas Index Objects.html |
146B |
| 16. Selecting Rows with loc (label-based indexing).mp4 |
30.36MB |
| 16. Selecting Rows with loc (label-based indexing).vtt |
5.70KB |
| 16. split-apply-combine applied.mp4 |
70.71MB |
| 16. split-apply-combine applied.vtt |
12.50KB |
| 16. User Defined Functions (Part 3).mp4 |
52.16MB |
| 17. Coding Exercise 14 (Solution).mp4 |
69.87MB |
| 17. Coding Exercise 14 (Solution).vtt |
7.88KB |
| 17. Coding Exercise 4 (Intro).mp4 |
7.67MB |
| 17. Coding Exercise 4 (Intro).vtt |
1.20KB |
| 17. Hierarchical Indexing with Groupby.mp4 |
32.86MB |
| 17. Hierarchical Indexing with Groupby.vtt |
6.69KB |
| 17. Rolling Correlation.mp4 |
32.24MB |
| 17. Rolling Correlation.vtt |
7.78KB |
| 17. Slicing Rows and Columns with loc (label-based indexing).mp4 |
91.41MB |
| 17. Slicing Rows and Columns with loc (label-based indexing).vtt |
10.82KB |
| 17. Visualization with Matplotlib.mp4 |
124.27MB |
| 17. Visualization with Matplotlib.vtt |
14.49KB |
| 18. Coding Exercise 4 (Solution).mp4 |
27.34MB |
| 18. Coding Exercise 4 (Solution).vtt |
3.86KB |
| 18. Label-based Indexing Cheat Sheets.html |
700B |
| 18. Python Basics.html |
146B |
| 18. rollling() with fixed-sized time offsets.mp4 |
33.02MB |
| 18. rollling() with fixed-sized time offsets.vtt |
6.66KB |
| 18. stack() and unstack().mp4 |
78.77MB |
| 18. stack() and unstack().vtt |
14.50KB |
| 19. GroupBy.html |
146B |
| 19. Merging Aligning Financial Time Series (hands-on).mp4 |
30.69MB |
| 19. Merging Aligning Financial Time Series (hands-on).vtt |
5.21KB |
| 19. Quiz Solution.mp4 |
38.25MB |
| 19. Quiz Solution.vtt |
12.42KB |
| 19. Sorting DataFrames with sort_index() and sort_values().mp4 |
54.38MB |
| 19. Sorting DataFrames with sort_index() and sort_values().vtt |
9.46KB |
| 19. Summary and Outlook.mp4 |
62.13MB |
| 19. Summary and Outlook.vtt |
10.18KB |
| 2. Capital Market Line (CML) & Two-Fund-Theorem.mp4 |
15.81MB |
| 2. Capital Market Line (CML) & Two-Fund-Theorem.vtt |
3.53KB |
| 2. Converting strings to datetime objects with pd.to_datetime().mp4 |
57.97MB |
| 2. Converting strings to datetime objects with pd.to_datetime().vtt |
9.70KB |
| 2. Filling NA Values with bfill, ffill and interpolation.mp4 |
78.47MB |
| 2. Filling NA Values with bfill, ffill and interpolation.vtt |
10.45KB |
| 2. Financial Analyst Challenge (Instruction & Hints).mp4 |
31.59MB |
| 2. Financial Analyst Challenge (Instruction & Hints).vtt |
4.03KB |
| 2. Financial Indexes.html |
146B |
| 2. First Steps.mp4 |
34.23MB |
| 2. First Steps.vtt |
8.78KB |
| 2. First Steps with Pandas Series.mp4 |
35.96MB |
| 2. First Steps with Pandas Series.vtt |
7.06KB |
| 2. Getting Ready (Installing required libraries).mp4 |
18.82MB |
| 2. Getting Ready (Installing required libraries).vtt |
1.60KB |
| 2. Getting Ready (Installing required library).mp4 |
21.77MB |
| 2. Getting Ready (Installing required library).vtt |
2.41KB |
| 2. Getting the Data.mp4 |
12.25MB |
| 2. Getting the Data.vtt |
2.16KB |
| 2. Importing Financial Data from Excel.mp4 |
80.67MB |
| 2. Importing Financial Data from Excel.vtt |
11.94KB |
| 2. Mean-Variance Optimization (MVO).mp4 |
61.73MB |
| 2. Mean-Variance Optimization (MVO).vtt |
9.13KB |
| 2. Numpy Arrays Vectorization.mp4 |
64.73MB |
| 2. Numpy Arrays Vectorization.vtt |
8.72KB |
| 2. Removing Columns.mp4 |
36.06MB |
| 2. Removing Columns.vtt |
5.31KB |
| 2. Tabular Data Cheat Sheets.html |
383B |
| 2. Tips How to get the most out of this Course.mp4 |
43.64MB |
| 2. Tips How to get the most out of this Course.vtt |
5.83KB |
| 2. Visualization with Matplotlib (Intro).mp4 |
70.28MB |
| 2. Visualization with Matplotlib (Intro).vtt |
9.47KB |
| 20. Coding Exercise 13 (intro).mp4 |
20.62MB |
| 20. Coding Exercise 13 (intro).vtt |
2.80KB |
| 20. Coding Exercise 9 (Intro).mp4 |
7.84MB |
| 20. Coding Exercise 9 (Intro).vtt |
1.01KB |
| 20. Indexing and Slicing.html |
146B |
| 20. nunique() and nlargest() nsmallest() with DataFrames.mp4 |
32.62MB |
| 20. nunique() and nlargest() nsmallest() with DataFrames.vtt |
5.56KB |
| 21. Coding Exercise 13 (Solution).mp4 |
96.57MB |
| 21. Coding Exercise 13 (Solution).vtt |
12.13KB |
| 21. Coding Exercise 2 (Intro).mp4 |
8.64MB |
| 21. Coding Exercise 2 (Intro).vtt |
1.46KB |
| 21. Coding Exercise 9 (Solution).mp4 |
44.46MB |
| 21. Coding Exercise 9 (Solution).vtt |
6.53KB |
| 21. Filtering DataFrames (one Condition).mp4 |
52.91MB |
| 21. Filtering DataFrames (one Condition).vtt |
11.10KB |
| 22. Coding Exercise 2 (Solution).mp4 |
50.56MB |
| 22. Coding Exercise 2 (Solution).vtt |
6.88KB |
| 22. Filtering DataFrames by many Conditions (AND).mp4 |
25.90MB |
| 22. Filtering DataFrames by many Conditions (AND).vtt |
4.57KB |
| 23. Filtering DataFrames by many Conditions (OR).mp4 |
30.79MB |
| 23. Filtering DataFrames by many Conditions (OR).vtt |
5.09KB |
| 24. Advanced Filtering with between(), isin() and ~.mp4 |
65.45MB |
| 24. Advanced Filtering with between(), isin() and ~.vtt |
7.95KB |
| 25. any() and all().mp4 |
17.51MB |
| 25. any() and all().vtt |
4.09KB |
| 26. Sorting and Filtering.html |
146B |
| 27. Coding Exercise 5 (Intro).mp4 |
11.00MB |
| 27. Coding Exercise 5 (Intro).vtt |
1.38KB |
| 28. Coding Exercise 5 (Solution).mp4 |
71.87MB |
| 28. Coding Exercise 5 (Solution).vtt |
8.41KB |
| 29. Intro to NA Values missing Values.mp4 |
45.65MB |
| 29. Intro to NA Values missing Values.vtt |
9.30KB |
| 3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 |
72.67MB |
| 3. Analyzing Numerical Series with unique(), nunique() and value_counts().vtt |
12.93KB |
| 3. Creating Offline Graphs in Jupyter Notebooks.mp4 |
55.39MB |
| 3. Creating Offline Graphs in Jupyter Notebooks.vtt |
6.96KB |
| 3. Creating the equally-weighted Portfolio.mp4 |
54.30MB |
| 3. Creating the equally-weighted Portfolio.vtt |
8.68KB |
| 3. Customization of Plots.mp4 |
103.10MB |
| 3. Customization of Plots.vtt |
12.15KB |
| 3. Did you know that....mp4 |
26.85MB |
| 3. Did you know that....vtt |
3.29KB |
| 3. Financial Analyst Challenge (Solution Part 1).mp4 |
18.28MB |
| 3. Financial Analyst Challenge (Solution Part 1).vtt |
2.14KB |
| 3. First Steps (Inspection of Data, Part 1).mp4 |
45.20MB |
| 3. First Steps (Inspection of Data, Part 1).vtt |
5.92KB |
| 3. Getting the Data.mp4 |
28.05MB |
| 3. Getting the Data.vtt |
3.54KB |
| 3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4 |
71.86MB |
| 3. Importing Stock Price Data from Yahoo Finance (it still works!).vtt |
8.81KB |
| 3. Initial Analysis Visualization of Time Series.mp4 |
35.02MB |
| 3. Initial Analysis Visualization of Time Series.vtt |
5.98KB |
| 3. It´s not that simple - Part 1 (Investments 101 vs. Real World).mp4 |
50.48MB |
| 3. It´s not that simple - Part 1 (Investments 101 vs. Real World).vtt |
6.68KB |
| 3. Numpy Arrays Indexing and Slicing.mp4 |
53.46MB |
| 3. Removing Rows.mp4 |
49.66MB |
| 3. Removing Rows.vtt |
7.20KB |
| 3. resample() and agg().mp4 |
46.64MB |
| 3. resample() and agg().vtt |
5.17KB |
| 3. Simple Moving Averages (SMA) with rolling().mp4 |
40.98MB |
| 3. Simple Moving Averages (SMA) with rolling().vtt |
9.45KB |
| 3. Two-Fund-Theorem.html |
146B |
| 3. Variables.mp4 |
31.45MB |
| 3. Variables.vtt |
7.12KB |
| 30. Handling NA Values missing Values.mp4 |
68.61MB |
| 30. Handling NA Values missing Values.vtt |
11.47KB |
| 31. Exporting DataFrames to csv.mp4 |
13.25MB |
| 31. Exporting DataFrames to csv.vtt |
2.43KB |
| 32. Summary Statistics and Accumulations.mp4 |
57.58MB |
| 32. Summary Statistics and Accumulations.vtt |
10.30KB |
| 33. The agg() method.mp4 |
22.81MB |
| 33. The agg() method.vtt |
3.71KB |
| 34. Coding Exercise 6 (Intro).mp4 |
15.33MB |
| 34. Coding Exercise 6 (Intro).vtt |
1.91KB |
| 35. Coding Exercise 6 (Solution).mp4 |
83.91MB |
| 35. Coding Exercise 6 (Solution).vtt |
10.95KB |
| 4. Adding new Columns to a DataFrame.mp4 |
17.89MB |
| 4. Adding new Columns to a DataFrame.vtt |
3.42KB |
| 4. Changing Expected Returns.mp4 |
42.91MB |
| 4. Changing Expected Returns.vtt |
6.79KB |
| 4. Creating many random Portfolios with Python.mp4 |
72.47MB |
| 4. Creating many random Portfolios with Python.vtt |
11.82KB |
| 4. Data Types Integers & Floats.mp4 |
49.51MB |
| 4. Data Types Integers & Floats.vtt |
7.59KB |
| 4. FAQ Important Information.html |
5.44KB |
| 4. Financial Analyst Challenge (Solution Part 2).mp4 |
56.51MB |
| 4. Financial Analyst Challenge (Solution Part 2).vtt |
7.42KB |
| 4. First Steps (Inspection of Data, Part 2).mp4 |
56.78MB |
| 4. First Steps (Inspection of Data, Part 2).vtt |
8.68KB |
| 4. Histogramms (Part 1).mp4 |
24.60MB |
| 4. Histogramms (Part 1).vtt |
4.65KB |
| 4. Indexing and Slicing Time Series.mp4 |
48.16MB |
| 4. Indexing and Slicing Time Series.vtt |
7.44KB |
| 4. Initial Inspection and Visualization.mp4 |
42.33MB |
| 4. Initial Inspection and Visualization.vtt |
5.33KB |
| 4. Interactive Price Charts with Plotly.mp4 |
38.69MB |
| 4. Interactive Price Charts with Plotly.vtt |
4.79KB |
| 4. Momentum Trading Strategies with SMAs.mp4 |
33.01MB |
| 4. Momentum Trading Strategies with SMAs.vtt |
7.75KB |
| 4. Numpy Arrays Shape and Dimensions.mp4 |
35.52MB |
| 4. Numpy Arrays Shape and Dimensions.vtt |
6.05KB |
| 4. Price-Weighted Index - Theory.mp4 |
34.95MB |
| 4. Price-Weighted Index - Theory.vtt |
9.16KB |
| 4. resample() and OHLC().mp4 |
8.79MB |
| 4. resample() and OHLC().vtt |
1.45KB |
| 4. The Portfolio Diversification Effect.mp4 |
86.50MB |
| 4. The Portfolio Diversification Effect.vtt |
13.24KB |
| 4. UPDATE Pandas Version 0.24.0 (Jan 2019).html |
369B |
| 5.1 Video-Lecture-NBs.zip.zip |
2.38MB |
| 5. Arithmetic Operations (Part 1).mp4 |
63.51MB |
| 5. Arithmetic Operations (Part 1).vtt |
12.88KB |
| 5. Coding Exercise 0 Coding the Video Lectures.mp4 |
113.37MB |
| 5. Coding Exercise 0 Coding the Video Lectures.vtt |
15.56KB |
| 5. Creating a customized DatetimeIndex with pd.date_range().mp4 |
114.71MB |
| 5. Creating a customized DatetimeIndex with pd.date_range().vtt |
15.73KB |
| 5. Customizing Plotly Charts.mp4 |
46.88MB |
| 5. Customizing Plotly Charts.vtt |
4.93KB |
| 5. Data Types Strings.mp4 |
77.74MB |
| 5. Data Types Strings.vtt |
9.84KB |
| 5. EXCURSUS Updating Pandas Anaconda.mp4 |
77.10MB |
| 5. EXCURSUS Updating Pandas Anaconda.vtt |
6.24KB |
| 5. Financial Analyst Challenge (Solution Part 3).mp4 |
47.71MB |
| 5. Financial Analyst Challenge (Solution Part 3).vtt |
6.21KB |
| 5. Histogramms (Part 2).mp4 |
34.14MB |
| 5. Histogramms (Part 2).vtt |
7.00KB |
| 5. Installation of Anaconda.mp4 |
86.21MB |
| 5. Installation of Anaconda.vtt |
7.77KB |
| 5. It´s not that simple - Part 2 (Investments 101 vs. Real World).mp4 |
60.07MB |
| 5. It´s not that simple - Part 2 (Investments 101 vs. Real World).vtt |
11.59KB |
| 5. Normalizing Time Series to a Base Value (100).mp4 |
44.25MB |
| 5. Normalizing Time Series to a Base Value (100).vtt |
6.75KB |
| 5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4 |
73.61MB |
| 5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.vtt |
9.97KB |
| 5. PWI.html |
146B |
| 5. Systematic vs. unsystematic Risk.mp4 |
73.10MB |
| 5. Systematic vs. unsystematic Risk.vtt |
12.53KB |
| 5. Trading Strategies.html |
146B |
| 5. Upsampling with resample().mp4 |
49.64MB |
| 5. Upsampling with resample().vtt |
6.49KB |
| 5. What is the Sharpe Ratio and a Risk Free Asset.mp4 |
16.88MB |
| 5. What is the Sharpe Ratio and a Risk Free Asset.vtt |
4.81KB |
| 6. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 |
42.89MB |
| 6. Analyzing non-numerical Series with unique(), nunique(), value_counts().vtt |
7.54KB |
| 6. Arithmetic Operations (Part 2).mp4 |
58.44MB |
| 6. Arithmetic Operations (Part 2).vtt |
12.58KB |
| 6. Built-in Functions, Attributes and Methods.mp4 |
50.67MB |
| 6. Built-in Functions, Attributes and Methods.vtt |
8.74KB |
| 6. Creating a Price-Weighted Stock Index with Python.mp4 |
50.23MB |
| 6. Creating a Price-Weighted Stock Index with Python.vtt |
9.58KB |
| 6. Data Types Lists (Part 1).mp4 |
62.73MB |
| 6. Data Types Lists (Part 1).vtt |
8.51KB |
| 6. Financial Analyst Challenge (Solution Part 4).mp4 |
38.80MB |
| 6. Financial Analyst Challenge (Solution Part 4).vtt |
4.76KB |
| 6. Interactive Histograms with Plotly.mp4 |
30.59MB |
| 6. Interactive Histograms with Plotly.vtt |
5.50KB |
| 6. More on pd.date_range().mp4 |
12.36MB |
| 6. More on pd.date_range().vtt |
3.11KB |
| 6. Numpy Arrays Boolean Indexing.mp4 |
44.19MB |
| 6. Numpy Arrays Boolean Indexing.vtt |
6.16KB |
| 6. Opening a Jupyter Notebook.mp4 |
65.09MB |
| 6. Opening a Jupyter Notebook.vtt |
9.55KB |
| 6. Portfolio Analysis and the Sharpe Ratio with Python.mp4 |
44.85MB |
| 6. Portfolio Analysis and the Sharpe Ratio with Python.vtt |
7.30KB |
| 6. Risk Diversification.html |
146B |
| 6. S&P 500 Performance Reporting - rolling risk and return.mp4 |
54.06MB |
| 6. S&P 500 Performance Reporting - rolling risk and return.vtt |
12.55KB |
| 6. Scatterplots.mp4 |
36.12MB |
| 6. Scatterplots.vtt |
7.16KB |
| 6. The shift() method.mp4 |
35.76MB |
| 6. The shift() method.vtt |
7.47KB |
| 6. Timezones and Converting (Part 1).mp4 |
29.30MB |
| 6. Timezones and Converting (Part 1).vtt |
4.65KB |
| 7. Adding new Rows (Hands-on).html |
1.04KB |
| 7. Candle-Stick and OHLC Charts with Plotly.mp4 |
26.50MB |
| 7. Candle-Stick and OHLC Charts with Plotly.vtt |
4.54KB |
| 7. Capital Asset Pricing Model (CAPM) & Security Market Line (SLM).mp4 |
48.36MB |
| 7. Capital Asset Pricing Model (CAPM) & Security Market Line (SLM).vtt |
7.65KB |
| 7. Coding Exercise 10 (intro).mp4 |
9.94MB |
| 7. Coding Exercise 10 (intro).vtt |
1.32KB |
| 7. Data Types Lists (Part 2).mp4 |
134.38MB |
| 7. Data Types Lists (Part 2).vtt |
18.12KB |
| 7. Equal-Weighted Index - Theory.mp4 |
25.39MB |
| 7. Equal-Weighted Index - Theory.vtt |
6.18KB |
| 7. Financial Analyst Challenge (Solution Part 5).mp4 |
35.47MB |
| 7. Financial Analyst Challenge (Solution Part 5).vtt |
4.97KB |
| 7. First Steps with Seaborn.mp4 |
22.10MB |
| 7. First Steps with Seaborn.vtt |
6.12KB |
| 7. Generating Random Numbers.mp4 |
67.51MB |
| 7. Generating Random Numbers.vtt |
8.79KB |
| 7. How to use Jupyter Notebooks.mp4 |
66.29MB |
| 7. How to use Jupyter Notebooks.vtt |
14.84KB |
| 7. Make it easy TAB Completion and Tooltip.mp4 |
54.20MB |
| 7. Make it easy TAB Completion and Tooltip.vtt |
10.17KB |
| 7. S&P 500 Investment Horizon and Performance.mp4 |
51.00MB |
| 7. S&P 500 Investment Horizon and Performance.vtt |
10.39KB |
| 7. Sharpe Ratio and Risk Free Asset.html |
146B |
| 7. The copy() method.mp4 |
24.78MB |
| 7. The copy() method.vtt |
4.60KB |
| 7. The methods diff() and pct_change().mp4 |
40.26MB |
| 7. The methods diff() and pct_change().vtt |
7.40KB |
| 7. Timezones and Converting (Part 2).mp4 |
36.92MB |
| 7. Timezones and Converting (Part 2).vtt |
4.81KB |
| 8. Adding new Rows to a DataFrame.mp4 |
88.04MB |
| 8. Adding new Rows to a DataFrame.vtt |
13.70KB |
| 8. CAPM.html |
146B |
| 8. Categorical Seaborn Plots.mp4 |
85.20MB |
| 8. Categorical Seaborn Plots.vtt |
14.87KB |
| 8. Coding Exercise 10 (Solution).mp4 |
44.46MB |
| 8. Coding Exercise 10 (Solution).vtt |
5.47KB |
| 8. Data Types Tuples.mp4 |
41.81MB |
| 8. Data Types Tuples.vtt |
6.73KB |
| 8. EWI.html |
146B |
| 8. Financial Analyst Challenge (Solution Part 6).mp4 |
52.32MB |
| 8. Financial Analyst Challenge (Solution Part 6).vtt |
7.66KB |
| 8. Finding the Optimal Portfolio.mp4 |
47.74MB |
| 8. Finding the Optimal Portfolio.vtt |
7.36KB |
| 8. First Steps.html |
146B |
| 8. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 |
43.93MB |
| 8. Measuring Stock Performance with MEAN Returns and STD of Returns.vtt |
9.36KB |
| 8. Performance Issues.mp4 |
49.87MB |
| 8. Performance Issues.vtt |
6.02KB |
| 8. Shifting Dates with pd.DateOffset().mp4 |
31.37MB |
| 8. Shifting Dates with pd.DateOffset().vtt |
4.72KB |
| 8. Simple Returns vs. Log Returns.mp4 |
32.65MB |
| 8. Simple Returns vs. Log Returns.vtt |
9.78KB |
| 8. SMA and Bollinger Bands with Plotly.mp4 |
42.60MB |
| 8. SMA and Bollinger Bands with Plotly.vtt |
6.19KB |
| 8. Sorting of Series and Introduction to the inplace - parameter.mp4 |
41.42MB |
| 8. Sorting of Series and Introduction to the inplace - parameter.vtt |
9.30KB |
| 9.1 Finance_Data_Exc.zip.zip |
4.30MB |
| 9. Advanced Date Shifting.mp4 |
26.61MB |
| 9. Advanced Date Shifting.vtt |
3.42KB |
| 9. Beta and Alpha.mp4 |
42.67MB |
| 9. Beta and Alpha.vtt |
7.74KB |
| 9. Case Study Numpy vs. Python Standard Library.mp4 |
45.62MB |
| 9. Case Study Numpy vs. Python Standard Library.vtt |
7.54KB |
| 9. Creating an Equal-Weighted Stock Index with Python.mp4 |
45.48MB |
| 9. Creating an Equal-Weighted Stock Index with Python.vtt |
8.56KB |
| 9. Downsampling Time Series with resample() (Part 1).mp4 |
85.52MB |
| 9. Downsampling Time Series with resample() (Part 1).vtt |
14.33KB |
| 9. Explore your own Dataset Coding Exercise 1 (Intro).mp4 |
60.54MB |
| 9. Explore your own Dataset Coding Exercise 1 (Intro).vtt |
8.36KB |
| 9. Financial Analyst Challenge (Solution Part 7).mp4 |
58.54MB |
| 9. Financial Analyst Challenge (Solution Part 7).vtt |
7.55KB |
| 9. Financial Time Series - Return and Risk.mp4 |
53.66MB |
| 9. Financial Time Series - Return and Risk.vtt |
8.80KB |
| 9. Manipulating Elements in a DataFrame.mp4 |
31.28MB |
| 9. Manipulating Elements in a DataFrame.vtt |
4.98KB |
| 9. More Technical Indicators with Plotly (Volume, MACD, DMI).mp4 |
11.12MB |
| 9. More Technical Indicators with Plotly (Volume, MACD, DMI).vtt |
1.87KB |
| 9. Operators & Booleans.mp4 |
59.49MB |
| 9. Operators & Booleans.vtt |
9.63KB |
| 9. Pandas Series.html |
146B |
| 9. Seaborn Regression Plots.mp4 |
79.41MB |
| 9. Seaborn Regression Plots.vtt |
12.19KB |
| 9. Sharpe Ratio - visualized and explained.mp4 |
23.23MB |
| 9. Sharpe Ratio - visualized and explained.vtt |
5.31KB |
| 9. Simple Returns vs. Log Returns.html |
146B |