Udemy - Pandas For Data Analytics - The Right Way

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[ DevCourseWeb.com ] Udemy - Pandas For Data Analytics - The Right Way
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - 1.Introduction-to-Pandas.pdf (17.0 KB)
    • 1 - Introduction.mp4 (29.3 MB)
    • 10 - 10 Concatenation and Merging Logic.mp4 (265.5 MB)
    • 11 - 10.Merging-and-Joining-DataFrames.ipynb (38.5 KB)
    • 11 - 10.Merging-and-Joining-DataFrames.pdf (46.1 KB)
    • 11 - 11 Merging and Joining.mp4 (110.5 MB)
    • 12 - 12 Cartesian Product Between DataFrames.mp4 (44.2 MB)
    • 13 - 13 Handling Duplicates in a DataFrames.mp4 (154.1 MB)
    • 13 - 13.Handling-Duplicates-in-a-DataFrame.ipynb (43.4 KB)
    • 13 - 13.Handling-Duplicates-in-a-DataFrame.pdf (39.3 KB)
    • 13 - Most-100.csv (0.7 KB)
    • 14 - 14 String Handling.mp4 (259.7 MB)
    • 14 - 14.Handling-Strings-in-a-DataFrame.ipynb (38.9 KB)
    • 14 - 14.Handling-Strings-in-a-DataFrame.pdf (50.6 KB)
    • 14 - String-processing.csv (0.4 KB)
    • 2 - 2 Pandas Series.mp4 (149.0 MB)
    • 2 - 2.Pandas-Series.ipynb (9.9 KB)
    • 2 - 2.Pandas-Series.pdf (39.8 KB)
    • 3 - 3 Pandas DataFrames.mp4 (257.2 MB)
    • 3 - 3.DataFrame.ipynb (35.7 KB)
    • 3 - 3.DataFrame.pdf (47.5 KB)
    • 4 - 4 Handling missing data.mp4 (304.2 MB)
    • 4 - 4.Handling-missing-data-in-DataFrame.ipynb (35.0 KB)
    • 4 - 4.Handling-missing-data-in-DataFrame.pdf (45.9 KB)
    • 5 - 5 Conditional Selection and Reindexing of a DataFrame.mp4 (178.9 MB)
    • 5 - 5.Conditional-Selection-and-Reindexing-of-a-DataFrame.ipynb (24.3 KB)
    • 5 - 5.Conditional-Selection-and-Reindexing-of-a-DataFrame.pdf (38.9 KB)
    • 6 - 6 Data Input and Data Output.mp4 (243.7 MB)
    • 6 - 6.Data-Input-and-Data-Output.ipynb (54.9 KB)
    • 6 - 6.Data-Input-and-Data-Output.pdf (41.4 KB)
    • 6 - Data-dump-10-rows.xlsx (9.2 KB)
    • 6 - Excel-Sample.xlsx (9.2 KB)
    • 6 - IPL.csv (1.3 KB)
    • 6 - columns.csv (6.0 KB)
    • 6 - columns1.csv (6.0 KB)
    • 6 - eventrepository.sas7bdat (128.0 KB)
    • 6 - sas-data.csv (1.3 KB)
    • 7 - 7 Data Processing.mp4 (380.6 MB)
    • 7 - 7.Data-Processing.ipynb (99.6 KB)
    • 7 - 7.Data-Processing.pdf (71.9 KB)
    • 7 - Data-dump-10-rows.xlsx (9.2 KB)
    • 8 - 8 Grouping and Pivot table.mp4 (109.6 MB)
    • 8 - 8.Grouping-Aggregation-and-Pivot-Table.ipynb (50.2 KB)
    • 8 - 8.Grouping-Aggregation-and-Pivot-Table.pdf (42.3 KB)
    • 8 - Data-dump-10-rows.xlsx (9.2 KB)
    • 9 - 9 Concatenating DataFrames and Inserting new rows.mp4 (100.1 MB)
    • 9 - 9.Concatenating-DataFrames-and-Inserting-new-rows.ipynb (28.9 KB)
    • 9 - 9.Concatenating-DataFrames-and-Inserting-new-rows.pdf (42.2 KB)
    • 9 - class1.csv (0.1 KB)
    • 9 - class2.csv (0.1 KB)
    2 - Handling Date and Time using Pandas functions
    • 15 - 1 DateTime Datetime Creation.mp4 (80.3 MB)
    • 16 - 2 DateTime Pandas datetime functions.mp4 (56.4 MB)
    • 16 - Date1.csv (0.1 KB)
    • 17 - 3 DateTime Reading Dates with Informats.mp4 (320.9 MB)
    • 17 - Date1.csv (0.1 KB)
    • 17 - date-time.txt (0.4 KB)
    • 18 - 4 DateTime Series DateRange and DateOffs.mp4 (170.2 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Pandas For Data Analytics - The Right Way

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



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Udemy - Pandas For Data Analytics - The Right Way

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Download torrent
3.1 GB
seeders:5
leechers:18
Udemy - Pandas For Data Analytics - The Right Way

Torrent hash: A45D4E3F6EB6F882F1FF1E19FBE6E2DA04A6DF79