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[FreeCourseSite.com] Udemy - Manage Finance Data with Python & Pandas Unique Masterclass
magnet:?xt=urn:btih:2c675254c71f5b18cfc4579767100a16e7188c88&dn=[FreeCourseSite.com] Udemy - Manage Finance Data with Python & Pandas Unique Masterclass
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Hash值:
2c675254c71f5b18cfc4579767100a16e7188c88
点击数:
279
文件大小:
9.78 GB
文件数量:
221
创建日期:
2021-3-4 01:07
最后访问:
2024-7-13 04:56
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com
Udemy
-
Manage
Finance
Data
with
Python
&
Pandas
Unique
Masterclass
文件列表详情
1. Getting Started/1. Course Overview and how to maximize your learning success.mp4 70.95 MB
1. Getting Started/2. Tips How to get the most out of this Course.mp4 43.64 MB
1. Getting Started/3. Did you know that....mp4 26.85 MB
1. Getting Started/5. Installation of Anaconda.mp4 86.21 MB
1. Getting Started/6. Opening a Jupyter Notebook.mp4 65.09 MB
1. Getting Started/7. How to use Jupyter Notebooks.mp4 66.29 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/1. Intro.mp4 32.15 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/10. The S&P 500 Return Triangle (Part 1).mp4 56.32 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/11. The S&P 500 Return Triangle (Part 2).mp4 60.35 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/13. The S&P 500 Dollar Triangle.mp4 32.94 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/14. The S&P 500 Weather Radar.mp4 41.9 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/15. Exponentially-weighted Moving Averages (EWMA).mp4 23.78 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/16. Expanding Windows.mp4 25.12 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/17. Rolling Correlation.mp4 32.24 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/18. rollling() with fixed-sized time offsets.mp4 33.02 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/19. Merging Aligning Financial Time Series (hands-on).mp4 30.69 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/2. Importing Financial Data from Excel.mp4 80.67 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/20. Coding Exercise 13 (intro).mp4 20.62 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/21. Coding Exercise 13 (Solution).mp4 96.57 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/3. Simple Moving Averages (SMA) with rolling().mp4 40.98 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/4. Momentum Trading Strategies with SMAs.mp4 33.01 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/6. S&P 500 Performance Reporting - rolling risk and return.mp4 54.06 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/7. S&P 500 Investment Horizon and Performance.mp4 51 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/8. Simple Returns vs. Log Returns.mp4 32.65 MB
11. Create and Analyze Financial Indexes/1. Financial Indexes - an Overview.mp4 64.35 MB
11. Create and Analyze Financial Indexes/10. Market Value-Weighted Index - Theory.mp4 42.75 MB
11. Create and Analyze Financial Indexes/12. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4 49.8 MB
11. Create and Analyze Financial Indexes/13. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4 44.26 MB
11. Create and Analyze Financial Indexes/14. Comparison of weighting methods.mp4 32.48 MB
11. Create and Analyze Financial Indexes/15. Price Index vs. PerformanceTotal Return Index.mp4 39.53 MB
11. Create and Analyze Financial Indexes/16. Coding Exercise 14 (intro).mp4 11.36 MB
11. Create and Analyze Financial Indexes/17. Coding Exercise 14 (Solution).mp4 69.87 MB
11. Create and Analyze Financial Indexes/3. Getting the Data.mp4 28.05 MB
11. Create and Analyze Financial Indexes/4. Price-Weighted Index - Theory.mp4 34.95 MB
11. Create and Analyze Financial Indexes/6. Creating a Price-Weighted Stock Index with Python.mp4 50.23 MB
11. Create and Analyze Financial Indexes/7. Equal-Weighted Index - Theory.mp4 25.39 MB
11. Create and Analyze Financial Indexes/9. Creating an Equal-Weighted Stock Index with Python.mp4 45.48 MB
12. Create, Analyze and Optimize Financial Portfolios/1. Intro.mp4 22.09 MB
12. Create, Analyze and Optimize Financial Portfolios/11. Coding Exercise 15 (Intro).mp4 22.5 MB
12. Create, Analyze and Optimize Financial Portfolios/12. Coding Exercise 15 (Solution).mp4 88.5 MB
12. Create, Analyze and Optimize Financial Portfolios/2. Getting the Data.mp4 12.25 MB
12. Create, Analyze and Optimize Financial Portfolios/3. Creating the equally-weighted Portfolio.mp4 54.3 MB
12. Create, Analyze and Optimize Financial Portfolios/4. Creating many random Portfolios with Python.mp4 72.47 MB
12. Create, Analyze and Optimize Financial Portfolios/5. What is the Sharpe Ratio and a Risk Free Asset.mp4 16.88 MB
12. Create, Analyze and Optimize Financial Portfolios/6. Portfolio Analysis and the Sharpe Ratio with Python.mp4 44.85 MB
12. Create, Analyze and Optimize Financial Portfolios/8. Finding the Optimal Portfolio.mp4 47.74 MB
12. Create, Analyze and Optimize Financial Portfolios/9. Sharpe Ratio - visualized and explained.mp4 23.23 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/1. Intro.mp4 10 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/10. Redefining the Market Portfolio.mp4 45.82 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/11. Cyclical vs. non-cyclical Stocks - another Intuition on Beta.mp4 40.55 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/13. Coding Exercise 16 (Intro).mp4 18.78 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/14. Coding Exercise 16 (Solution).mp4 68.45 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/2. Capital Market Line (CML) & Two-Fund-Theorem.mp4 15.81 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/4. The Portfolio Diversification Effect.mp4 86.5 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/5. Systematic vs. unsystematic Risk.mp4 73.1 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/7. Capital Asset Pricing Model (CAPM) & Security Market Line (SLM).mp4 48.36 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/9. Beta and Alpha.mp4 42.67 MB
14. Forward-looking Mean-Variance Optimization & Asset Allocation/1. Intro.mp4 20.47 MB
14. Forward-looking Mean-Variance Optimization & Asset Allocation/2. Mean-Variance Optimization (MVO).mp4 61.73 MB
14. Forward-looking Mean-Variance Optimization & Asset Allocation/3. It´s not that simple - Part 1 (Investments 101 vs. Real World).mp4 50.48 MB
14. Forward-looking Mean-Variance Optimization & Asset Allocation/4. Changing Expected Returns.mp4 42.91 MB
14. Forward-looking Mean-Variance Optimization & Asset Allocation/5. It´s not that simple - Part 2 (Investments 101 vs. Real World).mp4 60.07 MB
15. Interactive Financial Charts with Plotly and Cufflinks/1. Intro.mp4 16.54 MB
15. Interactive Financial Charts with Plotly and Cufflinks/2. Getting Ready (Installing required libraries).mp4 18.82 MB
15. Interactive Financial Charts with Plotly and Cufflinks/3. Creating Offline Graphs in Jupyter Notebooks.mp4 55.39 MB
15. Interactive Financial Charts with Plotly and Cufflinks/4. Interactive Price Charts with Plotly.mp4 38.69 MB
15. Interactive Financial Charts with Plotly and Cufflinks/5. Customizing Plotly Charts.mp4 46.88 MB
15. Interactive Financial Charts with Plotly and Cufflinks/6. Interactive Histograms with Plotly.mp4 30.59 MB
15. Interactive Financial Charts with Plotly and Cufflinks/7. Candle-Stick and OHLC Charts with Plotly.mp4 26.5 MB
15. Interactive Financial Charts with Plotly and Cufflinks/8. SMA and Bollinger Bands with Plotly.mp4 42.6 MB
15. Interactive Financial Charts with Plotly and Cufflinks/9. More Technical Indicators with Plotly (Volume, MACD, DMI).mp4 11.12 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/1. Financial Analyst Challenge (Intro).mp4 9.97 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/2. Financial Analyst Challenge (Instruction & Hints).mp4 31.59 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/3. Financial Analyst Challenge (Solution Part 1).mp4 18.28 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/4. Financial Analyst Challenge (Solution Part 2).mp4 56.51 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/5. Financial Analyst Challenge (Solution Part 3).mp4 47.71 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/6. Financial Analyst Challenge (Solution Part 4).mp4 38.8 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/7. Financial Analyst Challenge (Solution Part 5).mp4 35.47 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/8. Financial Analyst Challenge (Solution Part 6).mp4 52.32 MB
16. ----- PART 3 THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) ----/9. Financial Analyst Challenge (Solution Part 7).mp4 58.54 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/1. Helpful DatetimeIndex Attributes and Methods.mp4 44.28 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/10. The Timedelta Object.mp4 42.81 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/2. Filling NA Values with bfill, ffill and interpolation.mp4 78.47 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/3. resample() and agg().mp4 46.64 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/4. resample() and OHLC().mp4 8.79 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/5. Upsampling with resample().mp4 49.64 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/6. Timezones and Converting (Part 1).mp4 29.3 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/7. Timezones and Converting (Part 2).mp4 36.92 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/8. Shifting Dates with pd.DateOffset().mp4 31.37 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/9. Advanced Date Shifting.mp4 26.61 MB
19. Appendix 1 Python Crash Course (optional)/1. Intro.mp4 5.95 MB
19. Appendix 1 Python Crash Course (optional)/10. Conditional Statements (if, elif, else, while).mp4 86.02 MB
19. Appendix 1 Python Crash Course (optional)/11. For Loops.mp4 58.37 MB
19. Appendix 1 Python Crash Course (optional)/12. Key words break, pass, continue.mp4 36.73 MB
19. Appendix 1 Python Crash Course (optional)/13. Generating Random Numbers.mp4 38.12 MB
19. Appendix 1 Python Crash Course (optional)/14. User Defined Functions (Part 1).mp4 64.38 MB
19. Appendix 1 Python Crash Course (optional)/15. User Defined Functions (Part 2).mp4 57.43 MB
19. Appendix 1 Python Crash Course (optional)/16. User Defined Functions (Part 3).mp4 52.16 MB
19. Appendix 1 Python Crash Course (optional)/17. Visualization with Matplotlib.mp4 124.27 MB
19. Appendix 1 Python Crash Course (optional)/19. Quiz Solution.mp4 38.25 MB
19. Appendix 1 Python Crash Course (optional)/2. First Steps.mp4 34.23 MB
19. Appendix 1 Python Crash Course (optional)/3. Variables.mp4 31.45 MB
19. Appendix 1 Python Crash Course (optional)/4. Data Types Integers & Floats.mp4 49.51 MB
19. Appendix 1 Python Crash Course (optional)/5. Data Types Strings.mp4 77.74 MB
19. Appendix 1 Python Crash Course (optional)/6. Data Types Lists (Part 1).mp4 62.73 MB
19. Appendix 1 Python Crash Course (optional)/7. Data Types Lists (Part 2).mp4 134.38 MB
19. Appendix 1 Python Crash Course (optional)/8. Data Types Tuples.mp4 41.81 MB
19. Appendix 1 Python Crash Course (optional)/9. Operators & Booleans.mp4 59.49 MB
20. Appendix 2 Numpy Crash Course (optional)/1. Introduction to Numpy Arrays.mp4 41.11 MB
20. Appendix 2 Numpy Crash Course (optional)/10. Summary Statistics.mp4 44.82 MB
20. Appendix 2 Numpy Crash Course (optional)/11. Visualization and (Linear) Regression.mp4 84.47 MB
20. Appendix 2 Numpy Crash Course (optional)/13. Numpy Quiz Solution.mp4 45.45 MB
20. Appendix 2 Numpy Crash Course (optional)/2. Numpy Arrays Vectorization.mp4 64.73 MB
20. Appendix 2 Numpy Crash Course (optional)/3. Numpy Arrays Indexing and Slicing.mp4 53.46 MB
20. Appendix 2 Numpy Crash Course (optional)/4. Numpy Arrays Shape and Dimensions.mp4 35.52 MB
20. Appendix 2 Numpy Crash Course (optional)/5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4 73.61 MB
20. Appendix 2 Numpy Crash Course (optional)/6. Numpy Arrays Boolean Indexing.mp4 44.19 MB
20. Appendix 2 Numpy Crash Course (optional)/7. Generating Random Numbers.mp4 67.51 MB
20. Appendix 2 Numpy Crash Course (optional)/8. Performance Issues.mp4 49.87 MB
20. Appendix 2 Numpy Crash Course (optional)/9. Case Study Numpy vs. Python Standard Library.mp4 45.62 MB
3. Pandas Basics/1. Intro to Tabular Data Pandas.mp4 27.55 MB
3. Pandas Basics/10. Explore your own Dataset Coding Exercise 1 (Solution).mp4 39.47 MB
3. Pandas Basics/11. Selecting Columns.mp4 38.56 MB
3. Pandas Basics/12. Selecting Rows with Square Brackets (not advisable).mp4 22.05 MB
3. Pandas Basics/13. Selecting Rows with iloc (position-based indexing).mp4 53.96 MB
3. Pandas Basics/14. Slicing Rows and Columns with iloc (position-based indexing).mp4 25.92 MB
3. Pandas Basics/16. Selecting Rows with loc (label-based indexing).mp4 30.36 MB
3. Pandas Basics/17. Slicing Rows and Columns with loc (label-based indexing).mp4 91.41 MB
3. Pandas Basics/19. Summary and Outlook.mp4 62.13 MB
3. Pandas Basics/21. Coding Exercise 2 (Intro).mp4 8.64 MB
3. Pandas Basics/22. Coding Exercise 2 (Solution).mp4 50.56 MB
3. Pandas Basics/3. First Steps (Inspection of Data, Part 1).mp4 45.2 MB
3. Pandas Basics/4. First Steps (Inspection of Data, Part 2).mp4 56.78 MB
3. Pandas Basics/5. Coding Exercise 0 Coding the Video Lectures.mp4 113.37 MB
3. Pandas Basics/6. Built-in Functions, Attributes and Methods.mp4 50.67 MB
3. Pandas Basics/7. Make it easy TAB Completion and Tooltip.mp4 54.2 MB
3. Pandas Basics/9. Explore your own Dataset Coding Exercise 1 (Intro).mp4 60.54 MB
4. Pandas Intermediate Topics/10. Coding Exercise 3 (Intro).mp4 10.52 MB
4. Pandas Intermediate Topics/11. Coding Exercise 3 (Solution).mp4 35.9 MB
4. Pandas Intermediate Topics/12. First Steps with Pandas Index Objects.mp4 43.04 MB
4. Pandas Intermediate Topics/13. Changing Row Index with set_index() and reset_index().mp4 75.07 MB
4. Pandas Intermediate Topics/14. Changing Column Labels.mp4 21.18 MB
4. Pandas Intermediate Topics/15. Renaming Index & Column Labels with rename().mp4 33.54 MB
4. Pandas Intermediate Topics/17. Coding Exercise 4 (Intro).mp4 7.67 MB
4. Pandas Intermediate Topics/18. Coding Exercise 4 (Solution).mp4 27.34 MB
4. Pandas Intermediate Topics/19. Sorting DataFrames with sort_index() and sort_values().mp4 54.38 MB
4. Pandas Intermediate Topics/2. First Steps with Pandas Series.mp4 35.96 MB
4. Pandas Intermediate Topics/20. nunique() and nlargest() nsmallest() with DataFrames.mp4 32.62 MB
4. Pandas Intermediate Topics/21. Filtering DataFrames (one Condition).mp4 52.91 MB
4. Pandas Intermediate Topics/22. Filtering DataFrames by many Conditions (AND).mp4 25.9 MB
4. Pandas Intermediate Topics/23. Filtering DataFrames by many Conditions (OR).mp4 30.79 MB
4. Pandas Intermediate Topics/24. Advanced Filtering with between(), isin() and ~.mp4 65.45 MB
4. Pandas Intermediate Topics/25. any() and all().mp4 17.51 MB
4. Pandas Intermediate Topics/27. Coding Exercise 5 (Intro).mp4 11 MB
4. Pandas Intermediate Topics/28. Coding Exercise 5 (Solution).mp4 71.87 MB
4. Pandas Intermediate Topics/29. Intro to NA Values missing Values.mp4 45.65 MB
4. Pandas Intermediate Topics/3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 72.67 MB
4. Pandas Intermediate Topics/30. Handling NA Values missing Values.mp4 68.61 MB
4. Pandas Intermediate Topics/31. Exporting DataFrames to csv.mp4 13.25 MB
4. Pandas Intermediate Topics/32. Summary Statistics and Accumulations.mp4 57.58 MB
4. Pandas Intermediate Topics/33. The agg() method.mp4 22.81 MB
4. Pandas Intermediate Topics/34. Coding Exercise 6 (Intro).mp4 15.33 MB
4. Pandas Intermediate Topics/35. Coding Exercise 6 (Solution).mp4 83.91 MB
4. Pandas Intermediate Topics/5. EXCURSUS Updating Pandas Anaconda.mp4 77.1 MB
4. Pandas Intermediate Topics/6. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 42.89 MB
4. Pandas Intermediate Topics/7. The copy() method.mp4 24.78 MB
4. Pandas Intermediate Topics/8. Sorting of Series and Introduction to the inplace - parameter.mp4 41.42 MB
5. Data Visualization with Matplotlib and Seaborn/10. Seaborn Heatmaps.mp4 42.75 MB
5. Data Visualization with Matplotlib and Seaborn/11. Coding Exercise 7 (Intro).mp4 10.69 MB
5. Data Visualization with Matplotlib and Seaborn/12. Coding Exercise 7 (Solution).mp4 62.15 MB
5. Data Visualization with Matplotlib and Seaborn/2. Visualization with Matplotlib (Intro).mp4 70.28 MB
5. Data Visualization with Matplotlib and Seaborn/3. Customization of Plots.mp4 103.1 MB
5. Data Visualization with Matplotlib and Seaborn/4. Histogramms (Part 1).mp4 24.6 MB
5. Data Visualization with Matplotlib and Seaborn/5. Histogramms (Part 2).mp4 34.14 MB
5. Data Visualization with Matplotlib and Seaborn/6. Scatterplots.mp4 36.12 MB
5. Data Visualization with Matplotlib and Seaborn/7. First Steps with Seaborn.mp4 22.1 MB
5. Data Visualization with Matplotlib and Seaborn/8. Categorical Seaborn Plots.mp4 85.2 MB
5. Data Visualization with Matplotlib and Seaborn/9. Seaborn Regression Plots.mp4 79.41 MB
6. Pandas Advanced Topics/10. Coding Exercise 8 (Intro).mp4 9.04 MB
6. Pandas Advanced Topics/11. Coding Exercise 8 (Solution).mp4 54.6 MB
6. Pandas Advanced Topics/12. Introduction to GroupBy Operations.mp4 10.06 MB
6. Pandas Advanced Topics/13. Understanding the GroupBy Object.mp4 46.25 MB
6. Pandas Advanced Topics/14. Splitting with many Keys.mp4 49.71 MB
6. Pandas Advanced Topics/15. split-apply-combine.mp4 47.06 MB
6. Pandas Advanced Topics/16. split-apply-combine applied.mp4 70.71 MB
6. Pandas Advanced Topics/17. Hierarchical Indexing with Groupby.mp4 32.86 MB
6. Pandas Advanced Topics/18. stack() and unstack().mp4 78.77 MB
6. Pandas Advanced Topics/2. Removing Columns.mp4 36.06 MB
6. Pandas Advanced Topics/20. Coding Exercise 9 (Intro).mp4 7.84 MB
6. Pandas Advanced Topics/21. Coding Exercise 9 (Solution).mp4 44.46 MB
6. Pandas Advanced Topics/3. Removing Rows.mp4 49.66 MB
6. Pandas Advanced Topics/4. Adding new Columns to a DataFrame.mp4 17.89 MB
6. Pandas Advanced Topics/5. Arithmetic Operations (Part 1).mp4 63.51 MB
6. Pandas Advanced Topics/6. Arithmetic Operations (Part 2).mp4 58.44 MB
6. Pandas Advanced Topics/8. Adding new Rows to a DataFrame.mp4 88.04 MB
6. Pandas Advanced Topics/9. Manipulating Elements in a DataFrame.mp4 31.28 MB
8. Time Series Data in Pandas Introduction/1. Importing Time Series Data from csv-files.mp4 41.75 MB
8. Time Series Data in Pandas Introduction/10. Downsampling Time Series with resample (Part 2).mp4 49.13 MB
8. Time Series Data in Pandas Introduction/11. The PeriodIndex object.mp4 38.78 MB
8. Time Series Data in Pandas Introduction/12. Advanced Indexing with reindex().mp4 50.48 MB
8. Time Series Data in Pandas Introduction/13. Coding Exercise 11 (intro).mp4 8.76 MB
8. Time Series Data in Pandas Introduction/14. Coding Exercise 11 (Solution).mp4 44.08 MB
8. Time Series Data in Pandas Introduction/2. Converting strings to datetime objects with pd.to_datetime().mp4 57.97 MB
8. Time Series Data in Pandas Introduction/3. Initial Analysis Visualization of Time Series.mp4 35.02 MB
8. Time Series Data in Pandas Introduction/4. Indexing and Slicing Time Series.mp4 48.16 MB
8. Time Series Data in Pandas Introduction/5. Creating a customized DatetimeIndex with pd.date_range().mp4 114.71 MB
8. Time Series Data in Pandas Introduction/6. More on pd.date_range().mp4 12.36 MB
8. Time Series Data in Pandas Introduction/7. Coding Exercise 10 (intro).mp4 9.94 MB
8. Time Series Data in Pandas Introduction/8. Coding Exercise 10 (Solution).mp4 44.46 MB
8. Time Series Data in Pandas Introduction/9. Downsampling Time Series with resample() (Part 1).mp4 85.52 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/11. Financial Time Series - Covariance and Correlation.mp4 25.73 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/12. Coding Exercise 12 (intro).mp4 17.53 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/13. Coding Exercise 12 (Solution).mp4 55.95 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/2. Getting Ready (Installing required library).mp4 21.77 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4 71.86 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/4. Initial Inspection and Visualization.mp4 42.33 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/5. Normalizing Time Series to a Base Value (100).mp4 44.25 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/6. The shift() method.mp4 35.76 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/7. The methods diff() and pct_change().mp4 40.26 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/8. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 43.93 MB
9. Financial Data - Essential Workflows (Risk, Return & Correlation)/9. Financial Time Series - Return and Risk.mp4 53.66 MB
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