Udemy - Pandas For Data Analytics - The Right Way

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Udemy - Pandas For Data Analytics - The Right WayUdemy - Pandas For Data Analytics - The Right Way

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Udemy - Pandas For Data Analytics - The Right Way.torrent
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Uploaded on 08-04-2024 by our crawler pet called "Spidey".
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Description

[ DevCourseWeb.com ] Pandas For Data Analytics - The Right Way



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







Published 4/2024

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz

Language: English | Size: 3.14 GB | Duration: 4h 51m



Pandas Mastery: Transforming Data into Insights with Precision



What you'll learn

Understanding the basics of Pandas data structures - Series and DataFrame.

Loading data from various sources such as CSV files, Excel files, databases etc

Techniques for cleaning and preprocessing data, including handling missing values, dealing with outliers, and removing duplicates.

Performing operations like filtering, sorting, grouping, and aggregating data to extract insights.

Working with date and time data, including parsing date strings, converting data types, and performing date-based calculations.

Exploring advanced data analysis techniques such as merging and joining datasets.

Applying Pandas skills to handle real-world datasets in domains such as Sports (Cricket).



Requirements

Fundamentals of Python Programming



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1 - Introduction/1 - 1.Introduction-to-Pandas.pdf17 KB
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp429.3 MB
~Get Your Files Here !/1 - Introduction/10 - 10 Concatenation and Merging Logic.mp4265.5 MB
~Get Your Files Here !/1 - Introduction/11 - 10.Merging-and-Joining-DataFrames.ipynb38.5 KB
~Get Your Files Here !/1 - Introduction/11 - 10.Merging-and-Joining-DataFrames.pdf46.1 KB
~Get Your Files Here !/1 - Introduction/11 - 11 Merging and Joining.mp4110.5 MB
~Get Your Files Here !/1 - Introduction/12 - 12 Cartesian Product Between DataFrames.mp444.2 MB
~Get Your Files Here !/1 - Introduction/13 - 13 Handling Duplicates in a DataFrames.mp4154.1 MB
~Get Your Files Here !/1 - Introduction/13 - 13.Handling-Duplicates-in-a-DataFrame.ipynb43.4 KB
~Get Your Files Here !/1 - Introduction/13 - 13.Handling-Duplicates-in-a-DataFrame.pdf39.3 KB
~Get Your Files Here !/1 - Introduction/13 - Most-100.csv724 B
~Get Your Files Here !/1 - Introduction/14 - 14 String Handling.mp4259.7 MB
~Get Your Files Here !/1 - Introduction/14 - 14.Handling-Strings-in-a-DataFrame.ipynb38.9 KB
~Get Your Files Here !/1 - Introduction/14 - 14.Handling-Strings-in-a-DataFrame.pdf50.6 KB
~Get Your Files Here !/1 - Introduction/14 - String-processing.csv383 B
~Get Your Files Here !/1 - Introduction/2 - 2 Pandas Series.mp4149 MB
~Get Your Files Here !/1 - Introduction/2 - 2.Pandas-Series.ipynb9.9 KB
~Get Your Files Here !/1 - Introduction/2 - 2.Pandas-Series.pdf39.8 KB
~Get Your Files Here !/1 - Introduction/3 - 3 Pandas DataFrames.mp4257.2 MB
~Get Your Files Here !/1 - Introduction/3 - 3.DataFrame.ipynb35.7 KB
~Get Your Files Here !/1 - Introduction/3 - 3.DataFrame.pdf47.5 KB
~Get Your Files Here !/1 - Introduction/4 - 4 Handling missing data.mp4304.2 MB
~Get Your Files Here !/1 - Introduction/4 - 4.Handling-missing-data-in-DataFrame.ipynb35 KB
~Get Your Files Here !/1 - Introduction/4 - 4.Handling-missing-data-in-DataFrame.pdf45.9 KB
~Get Your Files Here !/1 - Introduction/5 - 5 Conditional Selection and Reindexing of a DataFrame.mp4178.9 MB
~Get Your Files Here !/1 - Introduction/5 - 5.Conditional-Selection-and-Reindexing-of-a-DataFrame.ipynb24.3 KB
~Get Your Files Here !/1 - Introduction/5 - 5.Conditional-Selection-and-Reindexing-of-a-DataFrame.pdf38.9 KB
~Get Your Files Here !/1 - Introduction/6 - 6 Data Input and Data Output.mp4243.7 MB
~Get Your Files Here !/1 - Introduction/6 - 6.Data-Input-and-Data-Output.ipynb54.9 KB
~Get Your Files Here !/1 - Introduction/6 - 6.Data-Input-and-Data-Output.pdf41.4 KB
~Get Your Files Here !/1 - Introduction/6 - columns.csv6 KB
~Get Your Files Here !/1 - Introduction/6 - columns1.csv6 KB
~Get Your Files Here !/1 - Introduction/6 - Data-dump-10-rows.xlsx9.2 KB
~Get Your Files Here !/1 - Introduction/6 - eventrepository.sas7bdat128 KB
~Get Your Files Here !/1 - Introduction/6 - Excel-Sample.xlsx9.2 KB
~Get Your Files Here !/1 - Introduction/6 - IPL.csv1.3 KB
~Get Your Files Here !/1 - Introduction/6 - sas-data.csv1.3 KB
~Get Your Files Here !/1 - Introduction/7 - 7 Data Processing.mp4380.6 MB
~Get Your Files Here !/1 - Introduction/7 - 7.Data-Processing.ipynb99.6 KB
~Get Your Files Here !/1 - Introduction/7 - 7.Data-Processing.pdf71.9 KB
~Get Your Files Here !/1 - Introduction/7 - Data-dump-10-rows.xlsx9.2 KB
~Get Your Files Here !/1 - Introduction/8 - 8 Grouping and Pivot table.mp4109.6 MB
~Get Your Files Here !/1 - Introduction/8 - 8.Grouping-Aggregation-and-Pivot-Table.ipynb50.2 KB
~Get Your Files Here !/1 - Introduction/8 - 8.Grouping-Aggregation-and-Pivot-Table.pdf42.3 KB
~Get Your Files Here !/1 - Introduction/8 - Data-dump-10-rows.xlsx9.2 KB
~Get Your Files Here !/1 - Introduction/9 - 9 Concatenating DataFrames and Inserting new rows.mp4100.1 MB
~Get Your Files Here !/1 - Introduction/9 - 9.Concatenating-DataFrames-and-Inserting-new-rows.ipynb28.9 KB
~Get Your Files Here !/1 - Introduction/9 - 9.Concatenating-DataFrames-and-Inserting-new-rows.pdf42.2 KB
~Get Your Files Here !/1 - Introduction/9 - class1.csv115 B
~Get Your Files Here !/1 - Introduction/9 - class2.csv110 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/15 - 1 DateTime Datetime Creation.mp480.3 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/16 - 2 DateTime Pandas datetime functions.mp456.4 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/16 - Date1.csv66 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - 3 DateTime Reading Dates with Informats.mp4320.9 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - date-time.txt438 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - Date1.csv66 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/18 - 4 DateTime Series DateRange and DateOffs.mp4170.2 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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