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1. Download Section 2 Resources.html
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102.4 B
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1. Download Section 3 Resources.html
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102.4 B
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1. Download Section 4 Resources.html
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102.4 B
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1. Download Section 5 Resources.html
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102.4 B
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1. Download Section 6 Resources.html
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102.4 B
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1. Download Section 7 Resources.html
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102.4 B
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1. Download Section 8 Resources.html
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102.4 B
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1. Installing Anaconda.mp4
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59.6 MB
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1. Installing Anaconda.srt
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9.2 KB
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1.1 Machine1.csv
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819.2 B
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1.1 Piece_Dim.csv
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1.1 Section 2.ipynb
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1.1 Section 3.ipynb
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198.9 KB
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1.1 Section 5.ipynb
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870.4 KB
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1.1 Section 6.ipynb
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71.3 KB
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1.1 Two Machines.csv
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3.5 KB
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1.2 Piece_Dim.csv
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1.6 KB
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1.2 Section 4.ipynb
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104.7 KB
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1.2 Section 8.ipynb
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124 KB
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1.2 Smokers.csv
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1.4 KB
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1.3 Section 7.ipynb
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66.3 KB
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10. DataFrame - Dealing with Rows.mp4
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154.8 MB
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10. DataFrame - Dealing with Rows.srt
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34.8 KB
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10. One Proportion Test Using Python.mp4
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81.6 MB
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10. One Proportion Test Using Python.srt
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14.8 KB
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10. Select a subsection of an Array.html
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102.4 B
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10. Solution Find the Inter Quartile Range.html
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102.4 B
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10. Solution Select an element from the list.html
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102.4 B
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10. Two Sample t Test Using Python.mp4
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48.3 MB
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10. Two Sample t Test Using Python.srt
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10. Visualizing the Titanic dataset.mp4
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100.5 MB
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10. Visualizing the Titanic dataset.srt
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23 KB
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10. [Theory] Types of Errors - Type I and Type II Errors.mp4
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75.3 MB
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10. [Theory] Types of Errors - Type I and Type II Errors.srt
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15.3 KB
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10.1 Smokers.csv
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CSV
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1.4 KB
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11. Solution Select a subsection of an Array.html
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102.4 B
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11. What is the Temperature on Monday.html
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102.4 B
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11. Working with a List - Part 2.mp4
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34.8 MB
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11. Working with a List - Part 2.srt
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8.2 KB
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11. [Theory] One Variance Test - Introduction.mp4
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27.9 MB
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11. [Theory] One Variance Test - Introduction.srt
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11. [Theory] Paired t Test.mp4
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89 MB
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11. [Theory] Paired t Test.srt
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11. [Theory] Types of Errors - Summary.mp4
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89.6 MB
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11. [Theory] Types of Errors - Summary.srt
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12. A review of lists.html
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102.4 B
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12. NumPy - Part 3.mp4
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73.1 MB
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12. NumPy - Part 3.srt
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12. Paired t Test Using Python.mp4
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34.3 MB
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12. Paired t Test Using Python.srt
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5.9 KB
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12. Solution What is the Temperature on Monday.html
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409.6 B
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12. [Theory] Hypothesis Testing - An Overview.mp4
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84.7 MB
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12. [Theory] Hypothesis Testing - An Overview.srt
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15.4 KB
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12. [Theory] One Variance Test - Example 1.mp4
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53.3 MB
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12. [Theory] One Variance Test - Example 1.srt
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13. Divide the Array elements by 10.html
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102.4 B
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13. Solution A review of lists.html
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HTML
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102.4 B
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13. [Theory] One Variance Test - Example 2.mp4
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MP4
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62.7 MB
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13. [Theory] One Variance Test - Example 2.srt
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13. [Theory] Two Proportions Test - Introduction.mp4
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52.7 MB
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13. [Theory] Two Proportions Test - Introduction.srt
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13. [Theory] Z Tables - Finding the Critical Values.mp4
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MP4
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100.1 MB
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13. [Theory] Z Tables - Finding the Critical Values.srt
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14. One Variance Test Using Python.mp4
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MP4
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69.5 MB
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14. One Variance Test Using Python.srt
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12.1 KB
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14. Solution Divide the array elements by 10.html
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102.4 B
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14. Working with a Dictionary.mp4
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42.9 MB
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14. Working with a Dictionary.srt
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9.2 KB
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14. [Theory] The p-Value.mp4
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51.9 MB
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14. [Theory] The p-Value.srt
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5.3 KB
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14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4
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46.6 MB
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14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt
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5.2 KB
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15. Quiz Hypothesis Testing Basics.html
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102.4 B
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15. Quiz Hypothesis Testing Part 1.html
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102.4 B
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15. Working with a Tuple.mp4
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25.5 MB
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15. Working with a Tuple.srt
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4.5 KB
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15. [Theory] Basics of Probability - Part 1.mp4
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MP4
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51.5 MB
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15. [Theory] Basics of Probability - Part 1.srt
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SRT
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10.3 KB
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15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4
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MP4
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59.7 MB
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15. [Theory] Two Proportions Test - An Example of Pooled Method.srt
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16. Hypothesis Testing Using Python.mp4
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MP4
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102.5 MB
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16. Hypothesis Testing Using Python.srt
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SRT
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14.8 KB
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16. Two Proportions Test Using Python.mp4
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MP4
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54.4 MB
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16. Two Proportions Test Using Python.srt
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SRT
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9.4 KB
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16. Working with a Set.mp4
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MP4
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15.9 MB
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16. Working with a Set.srt
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3.9 KB
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16. [Theory] Basics of Probability - Part 2.mp4
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MP4
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88.9 MB
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16. [Theory] Basics of Probability - Part 2.srt
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15 KB
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17. Logical Operators.mp4
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28.1 MB
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17. Logical Operators.srt
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5.1 KB
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17. [Theory] Basics of Probability - Part 3.mp4
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MP4
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69.4 MB
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17. [Theory] Basics of Probability - Part 3.srt
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SRT
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11.6 KB
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17. [Theory] Two Variances Test.mp4
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MP4
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95 MB
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17. [Theory] Two Variances Test.srt
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16.3 KB
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18. Quiz Basics of Probability.html
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102.4 B
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18. Two Variances Test Using Python.mp4
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MP4
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69 MB
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18. Two Variances Test Using Python.srt
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SRT
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15.1 KB
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19. Generating Random Numbers to Simulate the Probability.mp4
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MP4
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87.6 MB
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19. Generating Random Numbers to Simulate the Probability.srt
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SRT
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18.9 KB
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19. [Theory] ANOVA - Introduction.mp4
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MP4
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40 MB
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19. [Theory] ANOVA - Introduction.srt
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7.6 KB
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2. Getting started with Jupyter Notebook.mp4
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51.8 MB
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2. Getting started with Jupyter Notebook.srt
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SRT
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11.8 KB
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2. Histogram using matplotlib.pyplot.mp4
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MP4
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59.2 MB
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2. Histogram using matplotlib.pyplot.srt
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SRT
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12.9 KB
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2. NumPy - Part 1.mp4
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MP4
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75 MB
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2. NumPy - Part 1.srt
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20.8 KB
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2. Pandas Series.mp4
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MP4
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87 MB
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2. Pandas Series.srt
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SRT
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14.3 KB
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2. [Theory] Measurement of Central Tendency.mp4
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MP4
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80 MB
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2. [Theory] Measurement of Central Tendency.srt
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SRT
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10.7 KB
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2. [Theory] Population vs Samples.mp4
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MP4
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60.3 MB
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2. [Theory] Population vs Samples.srt
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SRT
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10.1 KB
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2. [Theory] Tests for means, variances and proportions - Introduction.mp4
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MP4
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96.5 MB
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2. [Theory] Tests for means, variances and proportions - Introduction.srt
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11.1 KB
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2. [Theory] Two Sample z Test - Introduction.mp4
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MP4
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32.2 MB
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2. [Theory] Two Sample z Test - Introduction.srt
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7.1 KB
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2.1 Section 3.ipynb
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IPYNB
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198.5 KB
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2.1 Section 4.ipynb
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IPYNB
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104.7 KB
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2.1 Section 6.ipynb
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IPYNB
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71.3 KB
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2.1 Section 7.ipynb
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IPYNB
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66.3 KB
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2.1 Section 8.ipynb
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IPYNB
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124 KB
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20. A Sample Probability Question.mp4
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57.7 MB
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20. A Sample Probability Question.srt
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20. [Theory] Why ANOVA.mp4
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48.2 MB
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20. [Theory] Why ANOVA.srt
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7.3 KB
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21. Generate Five Random Numbers.html
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HTML
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102.4 B
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21. [Theory] ANOVA - Conceptual Understanding.mp4
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MP4
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39.1 MB
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21. [Theory] ANOVA - Conceptual Understanding.srt
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10.2 KB
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22. Solution Generate Five Random Numbers.html
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HTML
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102.4 B
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22. [Theory] Statistics behind ANOVA.mp4
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MP4
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36.8 MB
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22. [Theory] Statistics behind ANOVA.srt
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9.2 KB
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23. [Theory] Performing ANOVA by Manual Calculations.mp4
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MP4
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75 MB
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23. [Theory] Performing ANOVA by Manual Calculations.srt
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17.9 KB
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23. [Theory] Probability Distributions - Introduction.mp4
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MP4
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41.9 MB
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23. [Theory] Probability Distributions - Introduction.srt
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9.6 KB
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24. Conducting ANOVA Using Python.mp4
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MP4
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54.8 MB
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24. Conducting ANOVA Using Python.srt
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8.8 KB
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24. [Theory] Binomial Distribution.mp4
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MP4
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127.2 MB
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24. [Theory] Binomial Distribution.srt
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SRT
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18.7 KB
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25. Conducting ANOVA Using Python - mpg Dataset.mp4
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MP4
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77.9 MB
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25. Conducting ANOVA Using Python - mpg Dataset.srt
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15.9 KB
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25. Quiz Binomial Distribution.html
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HTML
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102.4 B
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26. Binomial Distribution Using NumPy.mp4
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MP4
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73.6 MB
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26. Binomial Distribution Using NumPy.srt
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SRT
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16.9 KB
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26. [Theory] Goodness of Fit.mp4
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MP4
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70.8 MB
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26. [Theory] Goodness of Fit.srt
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15.1 KB
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27. Goodness of Fit Test Using Python.mp4
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MP4
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67.4 MB
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27. Goodness of Fit Test Using Python.srt
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SRT
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11.8 KB
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27. Introducing SciPy Package for Binomial Distributions.mp4
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MP4
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108.1 MB
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27. Introducing SciPy Package for Binomial Distributions.srt
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22.5 KB
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28. Flipping a Coin.html
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HTML
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102.4 B
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28. [Theory] Contingency Tables.mp4
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MP4
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57.6 MB
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28. [Theory] Contingency Tables.srt
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13.7 KB
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29. Quiz Hypothesis Testing Part 2.html
|
HTML
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102.4 B
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29. Solution Flipping a Coin.html
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HTML
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102.4 B
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3. Box Plot using matplotlib.pyplot.mp4
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MP4
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74.6 MB
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3. Box Plot using matplotlib.pyplot.srt
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SRT
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13.6 KB
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3. Download Section 1 Resources and the Course Slides.html
|
HTML
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204.8 B
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3. Pandas DataFrame.mp4
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MP4
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52.9 MB
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3. Pandas DataFrame.srt
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SRT
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9.9 KB
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3. Two Dimensional Array.html
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HTML
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102.4 B
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3. [Theory] Central Limit Theorem.mp4
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MP4
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68.3 MB
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3. [Theory] Central Limit Theorem.srt
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SRT
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12.9 KB
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3. [Theory] Measurement of Dispersion - Part 1.mp4
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MP4
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62.5 MB
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3. [Theory] Measurement of Dispersion - Part 1.srt
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SRT
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8.8 KB
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3. [Theory] One Sample Z Test - Conditions.mp4
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MP4
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50.1 MB
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3. [Theory] One Sample Z Test - Conditions.srt
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SRT
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9.6 KB
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3. [Theory] Two Sample z Test - Example.mp4
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MP4
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40.5 MB
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3. [Theory] Two Sample z Test - Example.srt
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SRT
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7.3 KB
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3.1 Section 1.ipynb
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IPYNB
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36 KB
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3.2 Python Statistics Slides.pdf
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PDF
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2.8 MB
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30. Contingency Tables Using Python.mp4
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MP4
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95.9 MB
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30. Contingency Tables Using Python.srt
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SRT
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18.5 KB
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30. Let's Flip Again.html
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HTML
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102.4 B
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31. Solution Let's Flip Again.html
|
HTML
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102.4 B
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32. Number of defectives in a selection.html
|
HTML
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102.4 B
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33. Solution Number of defectives in a selection.html
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HTML
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102.4 B
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34. [Theory] Poisson Distribution.mp4
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MP4
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69.8 MB
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34. [Theory] Poisson Distribution.srt
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SRT
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7.5 KB
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35. [Theory] Poisson Distributions - An Example.mp4
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MP4
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60.5 MB
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35. [Theory] Poisson Distributions - An Example.srt
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SRT
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7.2 KB
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36. Poisson Distribution Using NumPy.mp4
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MP4
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46.5 MB
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36. Poisson Distribution Using NumPy.srt
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SRT
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10 KB
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37. Poisson Distribution Using SciPy.mp4
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MP4
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76.5 MB
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37. Poisson Distribution Using SciPy.srt
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SRT
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15.6 KB
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38. Receiving Phone Calls.html
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HTML
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102.4 B
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39. Solution Receiving Phone Calls.html
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HTML
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102.4 B
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4. Create a DataFrame.html
|
HTML
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102.4 B
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4. Getting started with Python.mp4
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MP4
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69.4 MB
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4. Getting started with Python.srt
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SRT
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17.9 KB
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4. Line and Scatter Plots using matplotlib.pyplot.mp4
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MP4
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54.1 MB
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4. Line and Scatter Plots using matplotlib.pyplot.srt
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SRT
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11.5 KB
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4. Quiz Population vs Samples + Central Limit Theorem.html
|
HTML
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102.4 B
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4. Solution Two Dimensional Array.html
|
HTML
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102.4 B
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4. Two Sample z Test Using Python.mp4
|
MP4
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66.8 MB
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4. Two Sample z Test Using Python.srt
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SRT
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15.1 KB
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4. [Theory] Measurement of Dispersion - Part 2.mp4
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MP4
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48.9 MB
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4. [Theory] Measurement of Dispersion - Part 2.srt
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SRT
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7.7 KB
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4. [Theory] One Sample Z Test.mp4
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MP4
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83.4 MB
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4. [Theory] One Sample Z Test.srt
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SRT
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8.6 KB
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40. Probability of more than 6 calls.html
|
HTML
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102.4 B
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41. Solution Probability of more than 6 calls.html
|
HTML
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102.4 B
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42. [Theory] Normal Distribution - Part 1.mp4
|
MP4
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90.3 MB
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42. [Theory] Normal Distribution - Part 1.srt
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SRT
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14.3 KB
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43. [Theory] Normal Distribution - Part 2.mp4
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MP4
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83 MB
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43. [Theory] Normal Distribution - Part 2.srt
|
SRT
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13.8 KB
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44. Quiz Normal Distrubution.html
|
HTML
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102.4 B
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45. Normal Distribution Using NumPy.mp4
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MP4
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74.2 MB
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45. Normal Distribution Using NumPy.srt
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SRT
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14.2 KB
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46. Normal Distribution Using SciPy.mp4
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102.2 MB
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46. Normal Distribution Using SciPy.srt
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47. Area of curve between two values of z.html
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48. Solution Area of curve between two values of z.html
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307.2 B
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49. Descriptive Statistics Using NumPy.mp4
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62.7 MB
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49. Descriptive Statistics Using NumPy.srt
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5. Bar Plot using matplotlib.pyplot.mp4
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47 MB
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5. Bar Plot using matplotlib.pyplot.srt
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5. Central Limit Theorem - Using Python.mp4
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127.8 MB
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5. Central Limit Theorem - Using Python.srt
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5. Creating a Numpy array.html
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5. One Sample Z Test - Examples.mp4
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49.5 MB
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5. One Sample Z Test - Examples.srt
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5. Quiz Descriptive Statistics.html
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102.4 B
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5. Solution Create a DataFrame.html
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5. Two Sample z Test Using Python - tips Dataset.mp4
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55.8 MB
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5. Variables and Data Types.mp4
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38.4 MB
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5. Variables and Data Types.srt
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50. Mean of Rows.html
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102.4 B
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51. Solution Mean of Rows.html
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614.4 B
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6. Descriptive Statistics Using Python.mp4
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85.2 MB
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6. Descriptive Statistics Using Python.srt
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6. Introduction to coding exercises.html
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6. One Sample Z Test Using Python.mp4
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90.6 MB
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6. Reading a .csv File (Importing External Data).mp4
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79.3 MB
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6. Reading a .csv File (Importing External Data).srt
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6. Saving the plot as .png or .jpg.mp4
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34.4 MB
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6. Saving the plot as .png or .jpg.srt
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6. Solution Creating a Numpy array.html
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6. [Theory] Basics of Hypothesis Testing.mp4
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6. [Theory] Two Sample t Test - Conditions and Calculations.mp4
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59.1 MB
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6.1 Machine1.csv
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6.1 Piece_Dim.csv
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7. Find the mean, mode, median and standard deviation.html
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102.4 B
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7. Importing a CSV file.html
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102.4 B
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7. NumPy - Part 2.mp4
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75.1 MB
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7. NumPy - Part 2.srt
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7. One Sample t Test.mp4
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82.3 MB
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7. Seaborn - Displot group of plots.mp4
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76.8 MB
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7. Seaborn - Displot group of plots.srt
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18.8 KB
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7. Solution Introduction to coding exercises.html
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7. [Theory] Statistical and Practical Significance.mp4
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38.3 MB
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7. [Theory] Statistical and Practical Significance.srt
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8 KB
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7. [Theory] Two Sample t Test - Equal Variance.mp4
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88.3 MB
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7. [Theory] Two Sample t Test - Equal Variance.srt
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11.3 KB
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8. Filtering from an Array.html
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102.4 B
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8. One Sample t Test Using Python.mp4
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29.9 MB
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8. One Sample t Test Using Python.srt
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6 KB
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8. Seaborn - Catplot group of plots.mp4
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67.9 MB
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8. Seaborn - Catplot group of plots.srt
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15.3 KB
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8. Solution Find the mean, mode, median and standard deviation.html
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204.8 B
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8. Solution Importing a CSV file.html
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102.4 B
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8. Working with a List - Part 1.mp4
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83.4 MB
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8. Working with a List - Part 1.srt
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8. [Theory] Null and Alternate Hypothesis.mp4
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21.6 MB
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8. [Theory] Null and Alternate Hypothesis.srt
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8. [Theory] Two Sample t Test - Unequal Variance.mp4
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104.3 MB
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8. [Theory] Two Sample t Test - Unequal Variance.srt
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9. DataFrame - Dealing with Columns.mp4
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62.5 MB
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9. DataFrame - Dealing with Columns.srt
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9. Find the Inter Quartile Range.html
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102.4 B
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9. Seaborn - Relplot group of plots.mp4
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81.2 MB
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9. Seaborn - Relplot group of plots.srt
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12.4 KB
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9. Select an element from the list.html
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102.4 B
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9. Solution Filtering from an Array.html
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102.4 B
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9. [Theory] Hypothesis Testing - A Simple Introduction.mp4
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MP4
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96.4 MB
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9. [Theory] Hypothesis Testing - A Simple Introduction.srt
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9. [Theory] One Proportion Test.mp4
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93.4 MB
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9. [Theory] One Proportion Test.srt
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9. [Theory] Two Sample t Test - Visual Interpretation.mp4
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MP4
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37.6 MB
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9. [Theory] Two Sample t Test - Visual Interpretation.srt
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[CourseClub.ME].url
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URL
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102.4 B
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[FCS Forum].url
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URL
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102.4 B
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[FreeCourseSite.com].url
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URL
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102.4 B
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![Udemy - Statistics for Data Analysis Using Python [FCS]](/static/img/no-torrent-image.png "Udemy - Statistics for Data Analysis Using Python [FCS]")
