Udemy - The Pandas Bootcamp Data Analysis with Pandas Python3

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[ DevCourseWeb.com ] Udemy - The Pandas Bootcamp Data Analysis with Pandas Python3
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Chapter 01
    • 1. 01 Pandas Chapter 01 Outlines.mp4 (16.1 MB)
    • 1. 01 Pandas Chapter 01 Outlines.srt (5.2 KB)
    • 2. 02 What is Pandas.mp4 (23.1 MB)
    • 2. 02 What is Pandas.srt (6.3 KB)
    • 3. 03 Where we can use Pandas.mp4 (20.0 MB)
    • 3. 03 Where we can use Pandas.srt (5.2 KB)
    • 4. 04 What we can do with Pandas.mp4 (14.0 MB)
    • 4. 04 What we can do with Pandas.srt (4.3 KB)
    • 5. 06 Pandas Basic Program.mp4 (39.1 MB)
    • 5. 06 Pandas Basic Program.srt (8.7 KB)
    2. Chapter 02
    • 1. 01 Pandas Chapter 02 Outlines.mp4 (7.8 MB)
    • 1. 01 Pandas Chapter 02 Outlines.srt (3.0 KB)
    • 2. 02 Series Data Structure.mp4 (41.2 MB)
    • 2. 02 Series Data Structure.srt (9.9 KB)
    • 3. 03 DataFrame Data Strcuture.mp4 (59.6 MB)
    • 3. 03 DataFrame Data Strcuture.srt (9.9 KB)
    • 4. 04 Panel Data Structure.mp4 (53.6 MB)
    • 4. 04 Panel Data Structure.srt (10.1 KB)
    3. Chapter 03
    • 1. 01 Chapter 03 Outlines for Pandas.mp4 (9.8 MB)
    • 1. 01 Chapter 03 Outlines for Pandas.srt (3.4 KB)
    • 10. 10 head method with Series.mp4 (19.0 MB)
    • 10. 10 head method with Series.srt (5.2 KB)
    • 11. 11 tail method with Series.mp4 (14.1 MB)
    • 11. 11 tail method with Series.srt (3.2 KB)
    • 12. 12 describe method with Series.mp4 (12.2 MB)
    • 12. 12 describe method with Series.srt (2.6 KB)
    • 13. 13 info method with Series.mp4 (11.7 MB)
    • 13. 13 info method with Series.srt (2.7 KB)
    • 14. 14 mean method with Series.mp4 (7.8 MB)
    • 14. 14 mean method with Series.srt (1.7 KB)
    • 15. 15 sum method with Series.mp4 (10.4 MB)
    • 15. 15 sum method with Series.srt (2.1 KB)
    • 16. 16 unique method with Series.mp4 (12.8 MB)
    • 16. 16 unique method with Series.srt (2.4 KB)
    • 17. 17 value_counts method with Series.mp4 (11.0 MB)
    • 17. 17 value_counts method with Series.srt (2.2 KB)
    • 18. 18 sort_values method with Series.mp4 (16.2 MB)
    • 18. 18 sort_values method with Series.srt (3.3 KB)
    • 19. 19 apply method with Series.mp4 (24.8 MB)
    • 19. 19 apply method with Series.srt (4.9 KB)
    • 2. 02 Series Creation with 5 Methods.mp4 (59.9 MB)
    • 2. 02 Series Creation with 5 Methods.srt (11.5 KB)
    • 20. 20 fillna method with Series.mp4 (11.8 MB)
    • 20. 20 fillna method with Series.srt (2.5 KB)
    • 21. 21 drop method with Series.mp4 (12.5 MB)
    • 21. 21 drop method with Series.srt (2.3 KB)
    • 22. 22 concat method with Series.mp4 (24.5 MB)
    • 22. 22 concat method with Series.srt (3.9 KB)
    • 3. 03 Indexing with Series.mp4 (83.2 MB)
    • 3. 03 Indexing with Series.srt (16.7 KB)
    • 4. 04 Slicing with Series.mp4 (37.3 MB)
    • 4. 04 Slicing with Series.srt (7.8 KB)
    • 5. 05 Arithmetics with Series.mp4 (40.8 MB)
    • 5. 05 Arithmetics with Series.srt (7.3 KB)
    • 6. 06 Comparision with Series.mp4 (34.6 MB)
    • 6. 06 Comparision with Series.srt (7.7 KB)
    • 7. 07 Aggregation with Series.mp4 (26.9 MB)
    • 7. 07 Aggregation with Series.srt (5.5 KB)
    • 8. 08 Filtering with Series.mp4 (35.8 MB)
    • 8. 08 Filtering with Series.srt (7.8 KB)
    • 9. 09 All Attribues of Series.mp4 (72.3 MB)
    • 9. 09 All Attribues of Series.srt (10.8 KB)
    4. Chapter 04
    • 1. 01 Chapter 04 Outlines for Pandas.mp4 (14.7 MB)
    • 1. 01 Chapter 04 Outlines for Pandas.srt (5.3 KB)
    • 10. 10 Missing Data Handling in DataFrame.mp4 (21.2 MB)
    • 10. 10 Missing Data Handling in DataFrame.srt (4.6 KB)
    • 11. 11 Joining Method with DataFrame.mp4 (28.7 MB)
    • 11. 11 Joining Method with DataFrame.srt (4.9 KB)
    • 12. 12 Sorting in DataFrame.mp4 (32.7 MB)
    • 12. 12 Sorting in DataFrame.srt (5.4 KB)
    • 13. 13 Attributes for DataFrame.mp4 (52.7 MB)
    • 13. 13 Attributes for DataFrame.srt (9.8 KB)
    • 14. 14 Head and Tail method in DF.mp4 (41.1 MB)
    • 14. 14 Head and Tail method in DF.srt (8.3 KB)
    • 15. 15 Describe and Info method with DF.mp4 (18.9 MB)
    • 15. 15 Describe and Info method with DF.srt (2.9 KB)
    • 16. 16 sort_values method with DF.mp4 (14.0 MB)
    • 16. 16 sort_values method with DF.srt (2.3 KB)
    • 17. 17 dropna Method with DF.mp4 (20.3 MB)
    • 17. 17 dropna Method with DF.srt (3.9 KB)
    • 18. 18 fillna and merge method with DF.mp4 (58.7 MB)
    • 18. 18 fillna and merge method with DF.srt (7.9 KB)
    • 19. 19 apply method with DF.mp4 (21.1 MB)
    • 19. 19 apply method with DF.srt (3.4 KB)
    • 2. 02 Methods to create DataFrame.mp4 (123.8 MB)
    • 2. 02 Methods to create DataFrame.srt (24.3 KB)
    • 20. 20 Panel in Pandas.mp4 (4.6 MB)
    • 20. 20 Panel in Pandas.srt (1.9 KB)
    • 3. 03 Select Add and Delete Column.mp4 (56.9 MB)
    • 3. 03 Select Add and Delete Column.srt (11.6 KB)
    • 4. 04 Select Add Delete Row.mp4 (58.2 MB)
    • 4. 04 Select Add Delete Row.srt (11.6 KB)
    • 5. 05 Indexing and Slicing in DataFrame.mp4 (69.5 MB)
    • 5. 05 Indexing and Slicing in DataFrame.srt (13.0 KB)
    • 6. 06 Arithmetic Operation with DataFrame.mp4 (24.2 MB)
    • 6. 06 Arithmetic Operation with DataFrame.srt (4.5 KB)
    • 7. 07 Comparision Operations on DataFrame.mp4 (39.4 MB)
    • 7. 07 Comparision Operations on DataFrame.srt (7.5 KB)
    • 8. 08 Aggregation with DataFrame.mp4 (26.1 MB)
    • 8. 08 Aggregation with DataFrame.srt (4.6 KB)
    • 9. 09 Filtering in DataFrame.mp4 (29.2 MB)
    • 9. 09 Filtering in DataFrame.srt (4.9 KB)
    5. Chapter 05
    • 1. 01 Chapter 05 Outlines.mp4 (4.4 MB)
    • 1. 01 Chapter 05 Outlines.srt (1.9 KB)
    • 2. 02 Descriptive Statistics in Pandas.mp4 (24.3 MB)
    • 2. 02 Descriptive Statistics in Pandas.srt (5.9 KB)
    • 3. 03 Descriptive Methods in Pandas.m

Description

The Pandas Bootcamp | Data Analysis with Pandas Python3



https://DevCourseWeb.com

Last updated 6/2023
Duration: 7h 3m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.6 GB
Genre: eLearning | Language: English

Master Data Analysis with Pandas Python3 - From Beginner to Advanced. Enroll in The Pandas Bootcamp today!

What you'll learn
Understand the basics of Pandas, its data structures, and how to install it.
Work with different types of data structures in Pandas.
Use descriptive and inferential statistics methods to analyze data.
Apply element-wise, row or column-wise, and table-wise function application on data.
Reindex, sort, and iterate through data using Pandas.
Use string methods for data cleaning and manipulation.
Customize display options and data types in Pandas.
Perform indexing and selecting operations based on labels, integers, or Boolean values.
Use window functions such as rolling, expanding, and ewm for data analysis.
Group data based on single or multiple columns, apply aggregation functions, and filter or transform data.
Work with categorical data, perform methods such as reorder, remove, add, and rename categories, and visualize categorical data using Pandas.
Visualize data using different types of plots such as line, bar, histogram, scatter, box, area, and heatmap.
Read and write data in different formats such as CSV, Excel, and JSON using Pandas.
Work with sparse data and understand its features.

Requirements
You should have basic knowledge of Python programming with beginner experince
You did not have to buy extra software or course
Description
Introduction to The Pandas Bootcamp | Data Analysis with Pandas Python3
The "Introduction to The
Pandas Bootcamp



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Udemy - The Pandas Bootcamp Data Analysis with Pandas Python3

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2.6 GB
seeders:1
leechers:31
Udemy - The Pandas Bootcamp Data Analysis with Pandas Python3

Torrent hash: 9456C38FA3D8034E4EEE350AF3DFD35B5B2A3772