The Ultimate Beginners Guide to Data Analysis with Pandas gt [ DevCourseWeb ] Torrent Download

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Torrent Info
Name:	The Ultimate Beginners Guide to Data Analysis with Pandas gt [ DevCourseWeb ]
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	E1BB138BDBFA209BBEC2BD4C45649DD79D6A5218
Category:	Other
Peers:	Seeds: 11 & Leechers: 2
Size:	2.36 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	29 April 2024

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This is verified, clean and high quality torrent (0) \| Fake (0) \| Password (0) \| Low quality (0) \| Virus (0)

Torrent Files Size: 2.36 GB
[ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas Get Bonus Downloads Here.url - 182 bytes ~Get Your Files Here ! 1. Introduction/1. Course content.mp4 - 58.7 MB 1. Introduction/2. Course materials.html - 398 bytes 2. Series/1. Installation.mp4 - 27.19 MB 2. Series/1.1 Source code - Google Colab.html - 146 bytes 2. Series/10. Mathematical operations.mp4 - 20.41 MB 2. Series/11. String operations.mp4 - 32.18 MB 2. Series/12. Numerical grouping.mp4 - 19.95 MB 2. Series/13. Categorical grouping.mp4 - 16.67 MB 2. Series/14. Missing values.mp4 - 37.86 MB 2. Series/15. Functions.mp4 - 51.59 MB 2. Series/16. HOMEWORK.mp4 - 25.21 MB 2. Series/16.1 Homework - solved.html - 146 bytes 2. Series/16.2 Homework - unsolved.html - 146 bytes 2. Series/17. Homework solution.mp4 - 64.47 MB 2. Series/2. Creating series.mp4 - 89.79 MB 2. Series/3. Slicing.mp4 - 24.69 MB 2. Series/4. Copy, conversion, and concatenation.mp4 - 27.18 MB 2. Series/5. Accessing elements with iloc.mp4 - 71.09 MB 2. Series/6. Accessing elements with loc.mp4 - 68.65 MB 2. Series/7. Ordering.mp4 - 23.66 MB 2. Series/8. Counting.mp4 - 22.14 MB 2. Series/9. Filtering.mp4 - 31.24 MB 3. Dataframes/1. Creating dataframes.mp4 - 50.45 MB 3. Dataframes/1.1 Source code - Google Colab.html - 146 bytes 3. Dataframes/10. Rename and reorder columns.mp4 - 35.4 MB 3. Dataframes/11. Creating new columns.mp4 - 75.47 MB 3. Dataframes/12. Categorical features.mp4 - 34.28 MB 3. Dataframes/13. Aggregation.mp4 - 23.51 MB 3. Dataframes/14. Grouping.mp4 - 78.59 MB 3. Dataframes/15. Grouping with aggregation.mp4 - 60.17 MB 3. Dataframes/16. Aggregation with transform.mp4 - 23.51 MB 3. Dataframes/17. Pivot tables.mp4 - 45.32 MB 3. Dataframes/18. Concatenation and joining.mp4 - 95.76 MB 3. Dataframes/19. Date conversions.mp4 - 81.79 MB 3. Dataframes/2. Exploring dataframes.mp4 - 56.38 MB 3. Dataframes/20. Date indexes.mp4 - 45.55 MB 3. Dataframes/21. Importation and exportation.mp4 - 159.17 MB 3. Dataframes/22. HOMEWORK.mp4 - 44.23 MB 3. Dataframes/22.1 Homework - solved.html - 146 bytes 3. Dataframes/22.2 Homework - unsolved.html - 146 bytes 3. Dataframes/23. Homework solution.mp4 - 134.4 MB 3. Dataframes/3. Accessing elements with iloc and loc.mp4 - 44.45 MB 3. Dataframes/4. Deleting rows and columns.mp4 - 41.63 MB 3. Dataframes/5. Duplicated rows.mp4 - 38.56 MB 3. Dataframes/6. Missing values.mp4 - 72.25 MB 3. Dataframes/7. Counting.mp4 - 72.27 MB 3. Dataframes/8. Ordering.mp4 - 41.17 MB 3. Dataframes/9. Filtering.mp4 - 53.4 MB 4. Data visualization/1. Line plot.mp4 - 29.64 MB 4. Data visualization/1.1 Source code - Google Colab.html - 146 bytes 4. Data visualization/2. Formatting.mp4 - 37.33 MB 4. Data visualization/3. Subplots.mp4 - 39.13 MB 4. Data visualization/4. Bar and pizza plots.mp4 - 62.7 MB 4. Data visualization/5. Scatter plot.mp4 - 34.48 MB 4. Data visualization/6. Histogram.mp4 - 27.68 MB 4. Data visualization/7. HOMEWORK.mp4 - 10.69 MB 4. Data visualization/7.1 Homework - solved.html - 146 bytes 4. Data visualization/7.2 Homework - unsolved.html - 146 bytes 4. Data visualization/8. Homework solution.mp4 - 24.61 MB 5. Final remarks/1. Final remarks.mp4 - 3.88 MB 5. Final remarks/2. BONUS.mp4 - 29.45 MB Bonus Resources.txt - 386 bytes

Torrent Files

Size: 2.36 GB

[ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas

Get Bonus Downloads Here.url -

182 bytes

~Get Your Files Here !

1. Introduction/1. Course content.mp4 -

58.7 MB

1. Introduction/2. Course materials.html -

398 bytes

2. Series/1. Installation.mp4 -

27.19 MB

2. Series/1.1 Source code - Google Colab.html -

146 bytes

2. Series/10. Mathematical operations.mp4 -

20.41 MB

2. Series/11. String operations.mp4 -

32.18 MB

2. Series/12. Numerical grouping.mp4 -

19.95 MB

2. Series/13. Categorical grouping.mp4 -

16.67 MB

2. Series/14. Missing values.mp4 -

37.86 MB

2. Series/15. Functions.mp4 -

51.59 MB

2. Series/16. HOMEWORK.mp4 -

25.21 MB

2. Series/16.1 Homework - solved.html -

146 bytes

2. Series/16.2 Homework - unsolved.html -

146 bytes

2. Series/17. Homework solution.mp4 -

64.47 MB

2. Series/2. Creating series.mp4 -

89.79 MB

2. Series/3. Slicing.mp4 -

24.69 MB

2. Series/4. Copy, conversion, and concatenation.mp4 -

27.18 MB

2. Series/5. Accessing elements with iloc.mp4 -

71.09 MB

2. Series/6. Accessing elements with loc.mp4 -

68.65 MB

2. Series/7. Ordering.mp4 -

23.66 MB

2. Series/8. Counting.mp4 -

22.14 MB

2. Series/9. Filtering.mp4 -

31.24 MB

3. Dataframes/1. Creating dataframes.mp4 -

50.45 MB

3. Dataframes/1.1 Source code - Google Colab.html -

146 bytes

3. Dataframes/10. Rename and reorder columns.mp4 -

35.4 MB

3. Dataframes/11. Creating new columns.mp4 -

75.47 MB

3. Dataframes/12. Categorical features.mp4 -

34.28 MB

3. Dataframes/13. Aggregation.mp4 -

23.51 MB

3. Dataframes/14. Grouping.mp4 -

78.59 MB

3. Dataframes/15. Grouping with aggregation.mp4 -

60.17 MB

3. Dataframes/16. Aggregation with transform.mp4 -

23.51 MB

3. Dataframes/17. Pivot tables.mp4 -

45.32 MB

3. Dataframes/18. Concatenation and joining.mp4 -

95.76 MB

3. Dataframes/19. Date conversions.mp4 -

81.79 MB

3. Dataframes/2. Exploring dataframes.mp4 -

56.38 MB

3. Dataframes/20. Date indexes.mp4 -

45.55 MB

3. Dataframes/21. Importation and exportation.mp4 -

159.17 MB

3. Dataframes/22. HOMEWORK.mp4 -

44.23 MB

3. Dataframes/22.1 Homework - solved.html -

146 bytes

3. Dataframes/22.2 Homework - unsolved.html -

146 bytes

3. Dataframes/23. Homework solution.mp4 -

134.4 MB

3. Dataframes/3. Accessing elements with iloc and loc.mp4 -

44.45 MB

3. Dataframes/4. Deleting rows and columns.mp4 -

41.63 MB

3. Dataframes/5. Duplicated rows.mp4 -

38.56 MB

3. Dataframes/6. Missing values.mp4 -

72.25 MB

3. Dataframes/7. Counting.mp4 -

72.27 MB

3. Dataframes/8. Ordering.mp4 -

41.17 MB

3. Dataframes/9. Filtering.mp4 -

53.4 MB

4. Data visualization/1. Line plot.mp4 -

29.64 MB

4. Data visualization/1.1 Source code - Google Colab.html -

146 bytes

4. Data visualization/2. Formatting.mp4 -

37.33 MB

4. Data visualization/3. Subplots.mp4 -

39.13 MB

4. Data visualization/4. Bar and pizza plots.mp4 -

62.7 MB

4. Data visualization/5. Scatter plot.mp4 -

34.48 MB

4. Data visualization/6. Histogram.mp4 -

27.68 MB

4. Data visualization/7. HOMEWORK.mp4 -

10.69 MB

4. Data visualization/7.1 Homework - solved.html -

146 bytes

4. Data visualization/7.2 Homework - unsolved.html -

146 bytes

4. Data visualization/8. Homework solution.mp4 -

24.61 MB

5. Final remarks/1. Final remarks.mp4 -

3.88 MB

5. Final remarks/2. BONUS.mp4 -

29.45 MB

Bonus Resources.txt -

386 bytes

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The Ultimate Beginners Guide to Data Analysis with Pandas gt [ DevCourseWeb ] Torrent Download Locations