17 OCT 2024 - Welcome Back to TorrentFunk!
Get your pirate hat back out. Streaming is dying and torrents are the new trend.
Account Registration works again and so do Torrent Uploads.
We invite you all to start uploading torrents again!

TORRENT DETAILS

[FreeCoursesOnline.Me] [Packt] Exploratory Data Analysis With Pandas And Python 3.x [FCO]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	7215ce82d357390e035af4b7b83e64ce0df61a7c
Size:	1.3 GB in 34 files
Release Date(s):	Torrent Release: 12-06-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

By : Mohammed Kashif
Released : 29 Apr 2019 (New Release!)
Torrent Contains : 39 Files, 9 Folders
Course Source : https://www.packtpub.com/application-development/exploratory-data-analysis-pandas-and-python-3x-video

Analyze and visualize your data and make it speak for itself

Video Details

ISBN 9781789959116
Course Length 5 hours 4 minutes

Table of Contents

• Getting Set Up
• Graphical Interfaces, Event-Driven Programs, and Reactive Programming
• Networking, Microservices, and Asynchronous Programming
• Fighting Back Against Bugs, Using Type Annotation, and Unit Testing
• Parallel Concurrency
• Decorators and Non-Type Annotations
• Descriptors and Context Managers
• Distributing Your Software

Learn

• Improve your understanding of descriptive statistics and apply them over a dataset.
• Learn how to deal with missing data and outliers to resolve data inconsistencies.
• Explore various visualization techniques for bivariate and multivariate analysis.
• Enhance your programming skills and master data exploration and visualization in Python.
• Learn multidimensional analysis and reduction techniques.
• Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding

About

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently.

This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

All the code files and related files are placed on the GitHub at this link https://github.com/PacktPublishing/Exploratory-Data-Analysis-with-Pandas-and-Python-3.x

Style and Approach

This is a hands-on course, with each section taking you one step nearer to exploring datasets. Each section is accompanied by visualizations and theory describing the relevant process and finally a case study, where we apply what we have learned in that section to a real-world dataset.

Features:

• Build a solid foundation in data analytics and apply them to real-world datasets
• Each section explores one key measure for exploring any dataset and includes a case study to reinforce the topics you have learned.
• Master the various Data exploration and visualization packages in Python and apply your knowledge to any real-world dataset.

Author

Mohammed Kashif

Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he was working as a Python developer at Qualcomm. He completed his Master's degree in computer science from IIIT Delhi, with specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the higher-education industry.

For More Udemy Free Courses >>> https://ftuforum.com/
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Our Forum for discussion >>> https://discuss.ftuforum.com/

VISITOR COMMENTS (0

)

FILE LIST

Filename		Size
	0. Websites you may like/How you can help Team-FTU.txt	237 B
	1.Descriptive Statistics/01.The Course Overview.mp4	43.8 MB
	1.Descriptive Statistics/02.Basic Statistical Measures.mp4	77 MB
	1.Descriptive Statistics/03.Variance and Standard Deviation.mp4	8.1 MB
	1.Descriptive Statistics/04.Visualizing Statistical Measures.mp4	25.6 MB
	1.Descriptive Statistics/05.Calculating Percentiles.mp4	9.4 MB
	1.Descriptive Statistics/06.Quartiles and Box Plots.mp4	15.3 MB
	2.Dealing with Missing Data/07.Finding Missing Values.mp4	35.8 MB
	2.Dealing with Missing Data/08.Dealing with Missing Values.mp4	11.3 MB
	2.Dealing with Missing Data/09.Hands-on with Dealing with Missing Values.mp4	54.9 MB
	2.Dealing with Missing Data/10.Case Study - Missing Data in Titanic Dataset.mp4	49.8 MB
	3. Dealing with Outliers_/11.What are Outliers.mp4	9 MB
	3. Dealing with Outliers_/12.Using Z-scores to Find Outliers.mp4	17 MB
	3. Dealing with Outliers_/13.Modified Z-scores.mp4	17.5 MB
	3. Dealing with Outliers_/14.Using IQR to Detect Outliers.mp4	24.6 MB
	4.Univariate Analysis_/15.Types of Variables.mp4	77.6 MB
	4.Univariate Analysis_/16.Introduction to Univariate Analysis.mp4	18.6 MB
	4.Univariate Analysis_/17.Skewness and Kurtosis.mp4	7.5 MB
	4.Univariate Analysis_/18.Univariate Analysis over Olympics Dataset.mp4	50.9 MB
	5. Bivariate Analysis_/19.Introduction to Bivariate Analysis.mp4	4 MB
	5. Bivariate Analysis_/20.Correlation Coefficient.mp4	8.2 MB
	5. Bivariate Analysis_/21.Scatter Plots and Heatmaps.mp4	49.7 MB
	5. Bivariate Analysis_/22.Bivariate Analysis - Titanic Dataset.mp4	32.1 MB
	5. Bivariate Analysis_/23.Bivariate Analysis - Video Game Sales.mp4	91.2 MB
	6. Multivariate Analysis_/24.Introduction to Multivariate Analysis.mp4	5.2 MB
	6. Multivariate Analysis_/25.Multivariate Analysis over Titanic Dataset.mp4	38.4 MB
	6. Multivariate Analysis_/26.Multivariate Analysis over Pokemon Dataset.mp4	80.6 MB
	6. Multivariate Analysis_/27.Simpson’s Paradox.mp4	8.1 MB
	6. Multivariate Analysis_/28.Correlation Is Not Causation.mp4	22.2 MB
	7. Bringing It All Together_/29.Wine Data Analysis - Initial Setup.mp4	71 MB
	7. Bringing It All Together_/30.Red Wine Analysis.mp4	116.1 MB
	7. Bringing It All Together_/31.White Wine Analysis.mp4	113.6 MB
	7. Bringing It All Together_/32.White Wine versus Red Wine - Analysis.mp4	92.9 MB
	Exercise Files/code_37350.zip	2.1 MB

RELATED DOWNLOADS

Torrent Name

Added

Size

Seeds

Peers

Uploader

Health