Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas

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[ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Course content.mp4 (58.7 MB)
    • 2. Course materials.html (0.4 KB)
    2. Series
    • 1. Installation.mp4 (27.2 MB)
    • 1.1 Source code - Google Colab.html (0.1 KB)
    • 10. Mathematical operations.mp4 (20.4 MB)
    • 11. String operations.mp4 (32.2 MB)
    • 12. Numerical grouping.mp4 (19.9 MB)
    • 13. Categorical grouping.mp4 (16.7 MB)
    • 14. Missing values.mp4 (37.9 MB)
    • 15. Functions.mp4 (51.6 MB)
    • 16. HOMEWORK.mp4 (25.2 MB)
    • 16.1 Homework - solved.html (0.1 KB)
    • 16.2 Homework - unsolved.html (0.1 KB)
    • 17. Homework solution.mp4 (64.5 MB)
    • 2. Creating series.mp4 (89.8 MB)
    • 3. Slicing.mp4 (24.7 MB)
    • 4. Copy, conversion, and concatenation.mp4 (27.2 MB)
    • 5. Accessing elements with iloc.mp4 (71.1 MB)
    • 6. Accessing elements with loc.mp4 (68.7 MB)
    • 7. Ordering.mp4 (23.7 MB)
    • 8. Counting.mp4 (22.1 MB)
    • 9. Filtering.mp4 (31.2 MB)
    3. Dataframes
    • 1. Creating dataframes.mp4 (50.5 MB)
    • 1.1 Source code - Google Colab.html (0.1 KB)
    • 10. Rename and reorder columns.mp4 (35.4 MB)
    • 11. Creating new columns.mp4 (75.5 MB)
    • 12. Categorical features.mp4 (34.3 MB)
    • 13. Aggregation.mp4 (23.5 MB)
    • 14. Grouping.mp4 (78.6 MB)
    • 15. Grouping with aggregation.mp4 (60.2 MB)
    • 16. Aggregation with transform.mp4 (23.5 MB)
    • 17. Pivot tables.mp4 (45.3 MB)
    • 18. Concatenation and joining.mp4 (95.8 MB)
    • 19. Date conversions.mp4 (81.8 MB)
    • 2. Exploring dataframes.mp4 (56.4 MB)
    • 20. Date indexes.mp4 (45.5 MB)
    • 21. Importation and exportation.mp4 (159.2 MB)
    • 22. HOMEWORK.mp4 (44.2 MB)
    • 22.1 Homework - solved.html (0.1 KB)
    • 22.2 Homework - unsolved.html (0.1 KB)
    • 23. Homework solution.mp4 (134.4 MB)
    • 3. Accessing elements with iloc and loc.mp4 (44.4 MB)
    • 4. Deleting rows and columns.mp4 (41.6 MB)
    • 5. Duplicated rows.mp4 (38.6 MB)
    • 6. Missing values.mp4 (72.3 MB)
    • 7. Counting.mp4 (72.3 MB)
    • 8. Ordering.mp4 (41.2 MB)
    • 9. Filtering.mp4 (53.4 MB)
    4. Data visualization
    • 1. Line plot.mp4 (29.6 MB)
    • 1.1 Source code - Google Colab.html (0.1 KB)
    • 2. Formatting.mp4 (37.3 MB)
    • 3. Subplots.mp4 (39.1 MB)
    • 4. Bar and pizza plots.mp4 (62.7 MB)
    • 5. Scatter plot.mp4 (34.5 MB)
    • 6. Histogram.mp4 (27.7 MB)
    • 7. HOMEWORK.mp4 (10.7 MB)
    • 7.1 Homework - solved.html (0.1 KB)
    • 7.2 Homework - unsolved.html (0.1 KB)
    • 8. Homework solution.mp4 (24.6 MB)
    5. Final remarks
    • 1. Final remarks.mp4 (3.9 MB)
    • 2. BONUS.mp4 (29.5 MB)
    • Bonus Resources.txt (0.4 KB)

Description

The Ultimate Beginners Guide to Data Analysis with Pandas

https://DevCourseWeb.com

Published 4/2024
Created by Jones Granatyr
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 52 Lectures ( 5h 51m ) | Size: 2.36 GB

Python for Data Science: Develop essential skills with Pandas, with practical exercises solved step by step

What you'll learn:
Create, slice, and manipulate Series in Pandas, exploring from basic operations to grouping
Develop advanced skills in creating and manipulating DataFrames, mastering techniques for accessing and performing complex operations
Visualize data, create plots, and explore essential formatting techniques
Put your knowledge to the test with practical challenges, strengthening your skills in data manipulation and analysis
Explore the power of grouping in numerical and categorical data, as well as perform advanced operations for more sophisticated analyses

Requirements:
Programming logic
Basic Python programming



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Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas

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Download torrent
2.4 GB
seeders:16
leechers:9
Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas

Torrent hash: E1BB138BDBFA209BBEC2BD4C45649DD79D6A5218