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TORRENT DETAILS

Udemy - The Ultimate Beginners Guide To Data Analysis With Pandas

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	e1bb138bdbfa209bbec2bd4c45649dd79d6a5218
Size:	2.4 GB in 62 files
Release Date(s):	Torrent Release: 28-04-2024 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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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FILE LIST

Filename		Size
	~Get Your Files Here !/1. Introduction/1. Course content.mp4	58.7 MB
	~Get Your Files Here !/1. Introduction/2. Course materials.html	398 B
	~Get Your Files Here !/2. Series/1. Installation.mp4	27.2 MB
	~Get Your Files Here !/2. Series/1.1 Source code - Google Colab.html	146 B
	~Get Your Files Here !/2. Series/10. Mathematical operations.mp4	20.4 MB
	~Get Your Files Here !/2. Series/11. String operations.mp4	32.2 MB
	~Get Your Files Here !/2. Series/12. Numerical grouping.mp4	19.9 MB
	~Get Your Files Here !/2. Series/13. Categorical grouping.mp4	16.7 MB
	~Get Your Files Here !/2. Series/14. Missing values.mp4	37.9 MB
	~Get Your Files Here !/2. Series/15. Functions.mp4	51.6 MB
	~Get Your Files Here !/2. Series/16. HOMEWORK.mp4	25.2 MB
	~Get Your Files Here !/2. Series/16.1 Homework - solved.html	146 B
	~Get Your Files Here !/2. Series/16.2 Homework - unsolved.html	146 B
	~Get Your Files Here !/2. Series/17. Homework solution.mp4	64.5 MB
	~Get Your Files Here !/2. Series/2. Creating series.mp4	89.8 MB
	~Get Your Files Here !/2. Series/3. Slicing.mp4	24.7 MB
	~Get Your Files Here !/2. Series/4. Copy, conversion, and concatenation.mp4	27.2 MB
	~Get Your Files Here !/2. Series/5. Accessing elements with iloc.mp4	71.1 MB
	~Get Your Files Here !/2. Series/6. Accessing elements with loc.mp4	68.7 MB
	~Get Your Files Here !/2. Series/7. Ordering.mp4	23.7 MB
	~Get Your Files Here !/2. Series/8. Counting.mp4	22.1 MB
	~Get Your Files Here !/2. Series/9. Filtering.mp4	31.2 MB
	~Get Your Files Here !/3. Dataframes/1. Creating dataframes.mp4	50.5 MB
	~Get Your Files Here !/3. Dataframes/1.1 Source code - Google Colab.html	146 B
	~Get Your Files Here !/3. Dataframes/10. Rename and reorder columns.mp4	35.4 MB
	~Get Your Files Here !/3. Dataframes/11. Creating new columns.mp4	75.5 MB
	~Get Your Files Here !/3. Dataframes/12. Categorical features.mp4	34.3 MB
	~Get Your Files Here !/3. Dataframes/13. Aggregation.mp4	23.5 MB
	~Get Your Files Here !/3. Dataframes/14. Grouping.mp4	78.6 MB
	~Get Your Files Here !/3. Dataframes/15. Grouping with aggregation.mp4	60.2 MB
	~Get Your Files Here !/3. Dataframes/16. Aggregation with transform.mp4	23.5 MB
	~Get Your Files Here !/3. Dataframes/17. Pivot tables.mp4	45.3 MB
	~Get Your Files Here !/3. Dataframes/18. Concatenation and joining.mp4	95.8 MB
	~Get Your Files Here !/3. Dataframes/19. Date conversions.mp4	81.8 MB
	~Get Your Files Here !/3. Dataframes/2. Exploring dataframes.mp4	56.4 MB
	~Get Your Files Here !/3. Dataframes/20. Date indexes.mp4	45.5 MB
	~Get Your Files Here !/3. Dataframes/21. Importation and exportation.mp4	159.2 MB
	~Get Your Files Here !/3. Dataframes/22. HOMEWORK.mp4	44.2 MB
	~Get Your Files Here !/3. Dataframes/22.1 Homework - solved.html	146 B
	~Get Your Files Here !/3. Dataframes/22.2 Homework - unsolved.html	146 B
	~Get Your Files Here !/3. Dataframes/23. Homework solution.mp4	134.4 MB
	~Get Your Files Here !/3. Dataframes/3. Accessing elements with iloc and loc.mp4	44.4 MB
	~Get Your Files Here !/3. Dataframes/4. Deleting rows and columns.mp4	41.6 MB
	~Get Your Files Here !/3. Dataframes/5. Duplicated rows.mp4	38.6 MB
	~Get Your Files Here !/3. Dataframes/6. Missing values.mp4	72.3 MB
	~Get Your Files Here !/3. Dataframes/7. Counting.mp4	72.3 MB
	~Get Your Files Here !/3. Dataframes/8. Ordering.mp4	41.2 MB
	~Get Your Files Here !/3. Dataframes/9. Filtering.mp4	53.4 MB
	~Get Your Files Here !/4. Data visualization/1. Line plot.mp4	29.6 MB
	~Get Your Files Here !/4. Data visualization/1.1 Source code - Google Colab.html	146 B
	~Get Your Files Here !/4. Data visualization/2. Formatting.mp4	37.3 MB
	~Get Your Files Here !/4. Data visualization/3. Subplots.mp4	39.1 MB
	~Get Your Files Here !/4. Data visualization/4. Bar and pizza plots.mp4	62.7 MB
	~Get Your Files Here !/4. Data visualization/5. Scatter plot.mp4	34.5 MB
	~Get Your Files Here !/4. Data visualization/6. Histogram.mp4	27.7 MB
	~Get Your Files Here !/4. Data visualization/7. HOMEWORK.mp4	10.7 MB
	~Get Your Files Here !/4. Data visualization/7.1 Homework - solved.html	146 B
	~Get Your Files Here !/4. Data visualization/7.2 Homework - unsolved.html	146 B
	~Get Your Files Here !/4. Data visualization/8. Homework solution.mp4	24.6 MB
	~Get Your Files Here !/5. Final remarks/1. Final remarks.mp4	3.9 MB
	~Get Your Files Here !/5. Final remarks/2. BONUS.mp4	29.5 MB
	~Get Your Files Here !/Bonus Resources.txt	386 B

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