Udemy - The Ultimate Beginners Guide To Data Analysis With Pandas

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Udemy - The Ultimate Beginners Guide to Data Analysis with PandasUdemy - The Ultimate Beginners Guide to Data Analysis with Pandas

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Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas.torrent
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e1bb138bdbfa209bbec2bd4c45649dd79d6a5218
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2.4 GB in 62 files
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Uploaded on 28-04-2024 by our crawler pet called "Spidey".
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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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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Introduction/1. Course content.mp458.7 MB
~Get Your Files Here !/1. Introduction/2. Course materials.html398 B
~Get Your Files Here !/2. Series/1. Installation.mp427.2 MB
~Get Your Files Here !/2. Series/1.1 Source code - Google Colab.html146 B
~Get Your Files Here !/2. Series/10. Mathematical operations.mp420.4 MB
~Get Your Files Here !/2. Series/11. String operations.mp432.2 MB
~Get Your Files Here !/2. Series/12. Numerical grouping.mp419.9 MB
~Get Your Files Here !/2. Series/13. Categorical grouping.mp416.7 MB
~Get Your Files Here !/2. Series/14. Missing values.mp437.9 MB
~Get Your Files Here !/2. Series/15. Functions.mp451.6 MB
~Get Your Files Here !/2. Series/16. HOMEWORK.mp425.2 MB
~Get Your Files Here !/2. Series/16.1 Homework - solved.html146 B
~Get Your Files Here !/2. Series/16.2 Homework - unsolved.html146 B
~Get Your Files Here !/2. Series/17. Homework solution.mp464.5 MB
~Get Your Files Here !/2. Series/2. Creating series.mp489.8 MB
~Get Your Files Here !/2. Series/3. Slicing.mp424.7 MB
~Get Your Files Here !/2. Series/4. Copy, conversion, and concatenation.mp427.2 MB
~Get Your Files Here !/2. Series/5. Accessing elements with iloc.mp471.1 MB
~Get Your Files Here !/2. Series/6. Accessing elements with loc.mp468.7 MB
~Get Your Files Here !/2. Series/7. Ordering.mp423.7 MB
~Get Your Files Here !/2. Series/8. Counting.mp422.1 MB
~Get Your Files Here !/2. Series/9. Filtering.mp431.2 MB
~Get Your Files Here !/3. Dataframes/1. Creating dataframes.mp450.5 MB
~Get Your Files Here !/3. Dataframes/1.1 Source code - Google Colab.html146 B
~Get Your Files Here !/3. Dataframes/10. Rename and reorder columns.mp435.4 MB
~Get Your Files Here !/3. Dataframes/11. Creating new columns.mp475.5 MB
~Get Your Files Here !/3. Dataframes/12. Categorical features.mp434.3 MB
~Get Your Files Here !/3. Dataframes/13. Aggregation.mp423.5 MB
~Get Your Files Here !/3. Dataframes/14. Grouping.mp478.6 MB
~Get Your Files Here !/3. Dataframes/15. Grouping with aggregation.mp460.2 MB
~Get Your Files Here !/3. Dataframes/16. Aggregation with transform.mp423.5 MB
~Get Your Files Here !/3. Dataframes/17. Pivot tables.mp445.3 MB
~Get Your Files Here !/3. Dataframes/18. Concatenation and joining.mp495.8 MB
~Get Your Files Here !/3. Dataframes/19. Date conversions.mp481.8 MB
~Get Your Files Here !/3. Dataframes/2. Exploring dataframes.mp456.4 MB
~Get Your Files Here !/3. Dataframes/20. Date indexes.mp445.5 MB
~Get Your Files Here !/3. Dataframes/21. Importation and exportation.mp4159.2 MB
~Get Your Files Here !/3. Dataframes/22. HOMEWORK.mp444.2 MB
~Get Your Files Here !/3. Dataframes/22.1 Homework - solved.html146 B
~Get Your Files Here !/3. Dataframes/22.2 Homework - unsolved.html146 B
~Get Your Files Here !/3. Dataframes/23. Homework solution.mp4134.4 MB
~Get Your Files Here !/3. Dataframes/3. Accessing elements with iloc and loc.mp444.4 MB
~Get Your Files Here !/3. Dataframes/4. Deleting rows and columns.mp441.6 MB
~Get Your Files Here !/3. Dataframes/5. Duplicated rows.mp438.6 MB
~Get Your Files Here !/3. Dataframes/6. Missing values.mp472.3 MB
~Get Your Files Here !/3. Dataframes/7. Counting.mp472.3 MB
~Get Your Files Here !/3. Dataframes/8. Ordering.mp441.2 MB
~Get Your Files Here !/3. Dataframes/9. Filtering.mp453.4 MB
~Get Your Files Here !/4. Data visualization/1. Line plot.mp429.6 MB
~Get Your Files Here !/4. Data visualization/1.1 Source code - Google Colab.html146 B
~Get Your Files Here !/4. Data visualization/2. Formatting.mp437.3 MB
~Get Your Files Here !/4. Data visualization/3. Subplots.mp439.1 MB
~Get Your Files Here !/4. Data visualization/4. Bar and pizza plots.mp462.7 MB
~Get Your Files Here !/4. Data visualization/5. Scatter plot.mp434.5 MB
~Get Your Files Here !/4. Data visualization/6. Histogram.mp427.7 MB
~Get Your Files Here !/4. Data visualization/7. HOMEWORK.mp410.7 MB
~Get Your Files Here !/4. Data visualization/7.1 Homework - solved.html146 B
~Get Your Files Here !/4. Data visualization/7.2 Homework - unsolved.html146 B
~Get Your Files Here !/4. Data visualization/8. Homework solution.mp424.6 MB
~Get Your Files Here !/5. Final remarks/1. Final remarks.mp43.9 MB
~Get Your Files Here !/5. Final remarks/2. BONUS.mp429.5 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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