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TORRENT DETAILS
Udemy - Pandas For Data Analytics - The Right Way
TORRENT SUMMARY
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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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FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction/1 - 1.Introduction-to-Pandas.pdf
17 KB
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4
29.3 MB
~Get Your Files Here !/1 - Introduction/10 - 10 Concatenation and Merging Logic.mp4
265.5 MB
~Get Your Files Here !/1 - Introduction/11 - 10.Merging-and-Joining-DataFrames.ipynb
38.5 KB
~Get Your Files Here !/1 - Introduction/11 - 10.Merging-and-Joining-DataFrames.pdf
46.1 KB
~Get Your Files Here !/1 - Introduction/11 - 11 Merging and Joining.mp4
110.5 MB
~Get Your Files Here !/1 - Introduction/12 - 12 Cartesian Product Between DataFrames.mp4
44.2 MB
~Get Your Files Here !/1 - Introduction/13 - 13 Handling Duplicates in a DataFrames.mp4
154.1 MB
~Get Your Files Here !/1 - Introduction/13 - 13.Handling-Duplicates-in-a-DataFrame.ipynb
43.4 KB
~Get Your Files Here !/1 - Introduction/13 - 13.Handling-Duplicates-in-a-DataFrame.pdf
39.3 KB
~Get Your Files Here !/1 - Introduction/13 - Most-100.csv
724 B
~Get Your Files Here !/1 - Introduction/14 - 14 String Handling.mp4
259.7 MB
~Get Your Files Here !/1 - Introduction/14 - 14.Handling-Strings-in-a-DataFrame.ipynb
38.9 KB
~Get Your Files Here !/1 - Introduction/14 - 14.Handling-Strings-in-a-DataFrame.pdf
50.6 KB
~Get Your Files Here !/1 - Introduction/14 - String-processing.csv
383 B
~Get Your Files Here !/1 - Introduction/2 - 2 Pandas Series.mp4
149 MB
~Get Your Files Here !/1 - Introduction/2 - 2.Pandas-Series.ipynb
9.9 KB
~Get Your Files Here !/1 - Introduction/2 - 2.Pandas-Series.pdf
39.8 KB
~Get Your Files Here !/1 - Introduction/3 - 3 Pandas DataFrames.mp4
257.2 MB
~Get Your Files Here !/1 - Introduction/3 - 3.DataFrame.ipynb
35.7 KB
~Get Your Files Here !/1 - Introduction/3 - 3.DataFrame.pdf
47.5 KB
~Get Your Files Here !/1 - Introduction/4 - 4 Handling missing data.mp4
304.2 MB
~Get Your Files Here !/1 - Introduction/4 - 4.Handling-missing-data-in-DataFrame.ipynb
35 KB
~Get Your Files Here !/1 - Introduction/4 - 4.Handling-missing-data-in-DataFrame.pdf
45.9 KB
~Get Your Files Here !/1 - Introduction/5 - 5 Conditional Selection and Reindexing of a DataFrame.mp4
178.9 MB
~Get Your Files Here !/1 - Introduction/5 - 5.Conditional-Selection-and-Reindexing-of-a-DataFrame.ipynb
24.3 KB
~Get Your Files Here !/1 - Introduction/5 - 5.Conditional-Selection-and-Reindexing-of-a-DataFrame.pdf
38.9 KB
~Get Your Files Here !/1 - Introduction/6 - 6 Data Input and Data Output.mp4
243.7 MB
~Get Your Files Here !/1 - Introduction/6 - 6.Data-Input-and-Data-Output.ipynb
54.9 KB
~Get Your Files Here !/1 - Introduction/6 - 6.Data-Input-and-Data-Output.pdf
41.4 KB
~Get Your Files Here !/1 - Introduction/6 - columns.csv
6 KB
~Get Your Files Here !/1 - Introduction/6 - columns1.csv
6 KB
~Get Your Files Here !/1 - Introduction/6 - Data-dump-10-rows.xlsx
9.2 KB
~Get Your Files Here !/1 - Introduction/6 - eventrepository.sas7bdat
128 KB
~Get Your Files Here !/1 - Introduction/6 - Excel-Sample.xlsx
9.2 KB
~Get Your Files Here !/1 - Introduction/6 - IPL.csv
1.3 KB
~Get Your Files Here !/1 - Introduction/6 - sas-data.csv
1.3 KB
~Get Your Files Here !/1 - Introduction/7 - 7 Data Processing.mp4
380.6 MB
~Get Your Files Here !/1 - Introduction/7 - 7.Data-Processing.ipynb
99.6 KB
~Get Your Files Here !/1 - Introduction/7 - 7.Data-Processing.pdf
71.9 KB
~Get Your Files Here !/1 - Introduction/7 - Data-dump-10-rows.xlsx
9.2 KB
~Get Your Files Here !/1 - Introduction/8 - 8 Grouping and Pivot table.mp4
109.6 MB
~Get Your Files Here !/1 - Introduction/8 - 8.Grouping-Aggregation-and-Pivot-Table.ipynb
50.2 KB
~Get Your Files Here !/1 - Introduction/8 - 8.Grouping-Aggregation-and-Pivot-Table.pdf
42.3 KB
~Get Your Files Here !/1 - Introduction/8 - Data-dump-10-rows.xlsx
9.2 KB
~Get Your Files Here !/1 - Introduction/9 - 9 Concatenating DataFrames and Inserting new rows.mp4
100.1 MB
~Get Your Files Here !/1 - Introduction/9 - 9.Concatenating-DataFrames-and-Inserting-new-rows.ipynb
28.9 KB
~Get Your Files Here !/1 - Introduction/9 - 9.Concatenating-DataFrames-and-Inserting-new-rows.pdf
42.2 KB
~Get Your Files Here !/1 - Introduction/9 - class1.csv
115 B
~Get Your Files Here !/1 - Introduction/9 - class2.csv
110 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/15 - 1 DateTime Datetime Creation.mp4
80.3 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/16 - 2 DateTime Pandas datetime functions.mp4
56.4 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/16 - Date1.csv
66 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - 3 DateTime Reading Dates with Informats.mp4
320.9 MB
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - date-time.txt
438 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/17 - Date1.csv
66 B
~Get Your Files Here !/2 - Handling Date and Time using Pandas functions/18 - 4 DateTime Series DateRange and DateOffs.mp4
