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132.99MB
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udemycoursedownloader.com.url
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01. Introduction/1. What is Data analysis.mp4
95.77MB
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01. Introduction/3. Course FAQ.mp4
73.66MB
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01. Introduction/3. Course FAQ.vtt
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111B
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112B
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99B
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110B
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112B
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110B
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111B
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112B
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110B
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111B
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112B
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1.08KB
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57.09MB
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88B
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321B
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171B
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412B
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119B
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4
74.99MB
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105B
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150B
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106B
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106B
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108B
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136B
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103B
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13.66MB
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650.32KB
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13.66MB
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650.32KB
04. Python Crash Course [Optional]/1. Introduction.mp4
34.27MB
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3.13KB
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49.84MB
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17.14KB
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136B
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28.25MB
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8.76KB
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136B
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62.73MB
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17.2KB
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35.31MB
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11.39KB
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26.43MB
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136B
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136B
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7.1KB
07. Series Pandas/14. Extract Value from Series.html
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07. Series Pandas/15. .value_counts() Method.mp4
7.7MB
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07. Series Pandas/15. .value_counts() Method.vtt
2.04KB
07. Series Pandas/15.1 Pandas value_count method.html
173B
07. Series Pandas/16. .apply() and .map() method.mp4
33.3MB
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9.17KB
07. Series Pandas/16.1 Pandas.Series.apply.html
144B
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160B
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144B
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160B
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73.01MB
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5.01KB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4
85.44MB
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107.31KB
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28.46MB
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37.2MB
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75.04MB
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15.09KB
08. Data Frame Pandas/16. .ix() method.mp4
22.01MB
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4.57KB
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34.76MB
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6.15KB
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55.58MB
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29.02MB
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09. Pandas Exercise/1. Exercise Overview Google App store dataset.mp4
28.68MB
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09. Pandas Exercise/1.1 Pandas Exercise.zip.zip
309.55KB
Udemy Course downloader.txt
94B
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16.75KB
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131.72MB
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66.11MB
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13.02MB
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12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4
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61.68MB
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14. Working with Text Data/1. Getting started with Data.mp4
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8.44KB
14. Working with Text Data/3. More String methods.mp4
70.95MB
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14. Working with Text Data/3. More String methods.vtt
14.57KB
14. Working with Text Data/4. Filtering Message with String.mp4
41.36MB
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7.62KB
14. Working with Text Data/5. Splitting Text.mp4
29.46MB
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6.01KB
14. Working with Text Data/6. Processing on Column names.mp4
10.1MB
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2.26KB
15. Data Grouping/1. Importing Data Grouping.mp4
48.54MB
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5.51KB
15. Data Grouping/2. Getting Group.mp4
37.42MB
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6.7KB
15. Data Grouping/3. Size, First and Last Method.mp4
31.05MB
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5.73KB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4
48.31MB
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7.67KB
15. Data Grouping/5. .agg method.mp4
39.26MB
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15. Data Grouping/5. .agg method.vtt
7.45KB
16. Data Frame Multiindex/1. Import Data - Multiindex.mp4
9.58MB
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16. Data Frame Multiindex/1. Import Data - Multiindex.vtt
2.93KB
16. Data Frame Multiindex/2. Set multiple column as index.mp4
23.38MB
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4.77KB
16. Data Frame Multiindex/3. Sorting MultiIndex.mp4
32.01MB
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5.88KB
16. Data Frame Multiindex/4. Index - Meta Information.mp4
39.43MB
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5.91KB
16. Data Frame Multiindex/5. Change Index names.mp4
10.22MB
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16. Data Frame Multiindex/5. Change Index names.vtt
1.6KB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4
39.08MB
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7.13KB
16. Data Frame Multiindex/7. Transposing DataFrame.mp4
51MB
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16. Data Frame Multiindex/7. Transposing DataFrame.vtt
8.43KB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp4
48.66MB
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16. Data Frame Multiindex/8. UnStack and Stack Data.vtt
7.97KB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.mp4
38.91MB
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16. Data Frame Multiindex/9. Pivot and Pivot_table Method.vtt
6.97KB
17. Working with Time series data/1. Python Date and Datetime module.mp4
36.19MB
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17. Working with Time series data/1. Python Date and Datetime module.vtt
7.99KB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4
86.31MB
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17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.vtt
16.65KB
17. Working with Time series data/3. Generate Time sequence.vtt
10.44KB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4
18.5MB
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18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt
5.25KB
18. Data cleaning/1.1 Data Cleaning.zip.zip
261KB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4
48.73MB
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18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.vtt
8.91KB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4
90.72MB
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18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.vtt
14.2KB
19. Appendix Numpy - Numerical Python Library/1. Notes.html
222B
20. Bonus Lecture/1. Bonus Lecture.html
664B