An Introduction to Data Analysis Using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R  eBooks & eLearning

Posted by Underaglassmoon at Nov. 18, 2016
An Introduction to Data Analysis using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R
Springer | Artificial Intelligence | December 5, 2016 | ISBN-10: 3319467611 | 199 pages | pdf | 4.56 mb

Authors: James, Simon
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background
An Introduction to Survival Analysis Using Stata, Third Edition

Mario Cleves, William Gould, Roberto Gutierrez, Yulia Marchenko, "An Introduction to Survival Analysis Using Stata, Third Edition"
English | ISBN: 1597180742 | 2010 | 441 pages | PDF | 14 MB
The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory (Repost)

Paolo Fornasini, "The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory"
English | 2008 | ISBN: 038778649X | PDF | pages: 286 | 2 mb
The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory (repost)

The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory
by Paolo Fornasini
English | 2008 | ISBN: 038778649X | 289 pages | PDF | 5.6 MB
Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large [Repost]

Thomas W. MacFarland - Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large
Published: 2013-12-31 | ISBN: 3319025317 | PDF | 167 pages | 3 MB
Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large

Thomas W. MacFarland, "Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large"
English | ISBN: 3319025317 | 2014 | 165 pages | PDF | 2 MB
The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory [Repost]

Paolo Fornasini - The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory
Published: 2008-10-24 | ISBN: 038778649X | PDF | 289 pages | 6 MB
Essential Cinema: An Introduction to Film Analysis (Explore Our New Communications 1st Editions)

Essential Cinema: An Introduction to Film Analysis (Explore Our New Communications 1st Editions) by Jon Lewis
English | 1 edition | 2013 | ISBN: 1439083681 | ISBN-13: 9781439083680 | 352 pages | PDF | 55,4 MB

Succinct, lively, and affordable, ESSENTIAL CINEMA: AN INTRODUCTION TO FILM ANALYSIS vividly illustrates principles in action as it helps you develop effective skills in close analysis. The book is packed with frame captures you can readily relate to, and it also features interviews with film practitioners throughout, giving you insight into real-world practice.
The Art of Code: An introduction to computer programming using the Python Programming Language and the Turtle Graphics Module

The Art of Code: An introduction to computer programming using the Python Programming Language and the Turtle Graphics Module by Jason Woyak
English | 1 Dec 2016 | ASIN: B01N7DHYO8 | 30 Pages | PDF | 734.77 KB

Do you want to have computer super powers? Do you like to create art? Come explore the world of Python programming! In this short and example-filled eBook, we use the Turtle Graphics module.

Lynda - Introduction to Data Analysis with Python  

Posted by U.N.Owen at Nov. 12, 2015
Lynda - Introduction to Data Analysis with Python

Lynda - Introduction to Data Analysis with Python
Size: 566MB | Duration: 2h 16m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

If you're going to work with big data, you'll probably be using R or Python. And if you're using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them.