r Statistics

Statistical Data Analysis Using R  eBooks & eLearning

Posted by Sigha at Jan. 21, 2020
Statistical Data Analysis Using R

Statistical Data Analysis Using R
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.08 GB
Genre: eLearning Video | Duration: 79 lectures (8h 9m) | Language: English

Learn Descriptive and Inferential Statistics, Data Visualization, Hypothesis Testing and Probability Distribution.

Bootcamp On Data Science Using R Language  eBooks & eLearning

Posted by ELK1nG at Dec. 20, 2023
Bootcamp On Data Science Using R Language

Bootcamp On Data Science Using R Language
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.11 GB | Duration: 7h 13m

Building Data Science Pipelines

Understanding Statistics Using R [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Dec. 13, 2015
Understanding Statistics Using R [Repost]

Sara Tomek - Understanding Statistics Using R
Published: 2013-01-24 | ISBN: 1461462266, 1489996907 | PDF | 292 pages | 3.09 MB

Understanding Statistics Using R  eBooks & eLearning

Posted by hill0 at April 19, 2017
Understanding Statistics Using R

Understanding Statistics Using R by Randall Schumacker
English | 24 Jan. 2013 | ISBN: 1461462266 | 308 Pages | EPUB | 1.19 MB

This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials.

Statistics Essentials for Analytics Using R - Beginners  eBooks & eLearning

Posted by lucky_aut at Dec. 11, 2024
Statistics Essentials for Analytics Using R - Beginners

Statistics Essentials for Analytics Using R - Beginners
Published 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 41m | Size: 485 MB

Learn statistical fundamentals and master data visualization with practical examples in R!

Introducing Monte Carlo Methods with R (repost)  eBooks & eLearning

Posted by fdts at Jan. 14, 2016
Introducing Monte Carlo Methods with R (repost)

Introducing Monte Carlo Methods with R (Use R!)
by Christian P. Robert, George Casella
English | 2009 | ISBN: 1441915753 | 284 pages | PDF | 8.59 MB

R: Machine Learning With R - Beginner To Expert!: 4-In-1  eBooks & eLearning

Posted by ELK1nG at Jan. 3, 2023
R: Machine Learning With R - Beginner To Expert!: 4-In-1

R: Machine Learning With R - Beginner To Expert!: 4-In-1
Last updated 9/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.35 GB | Duration: 13h 27m

Explore the advanced topics in Machine Learning with R in a step by step manner to build powerful predictive models in R

Introduction to R programming & RStudio for beginners  eBooks & eLearning

Posted by Sigha at Sept. 9, 2020
Introduction to R programming & RStudio for beginners

Introduction to R programming & RStudio for beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 294 MB
Genre: eLearning Video | Duration: 10 lectures (30 mins) | Language: English

Introduction to R programming & RStudio for beginners - with practical exercises

Coursera - Statistics with R Specialization by Duke University  eBooks & eLearning

Posted by kabino at April 27, 2020
Coursera - Statistics with R Specialization by Duke University

Coursera - Statistics with R Specialization by Duke University
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 3.03 Gb | Materials: PDF
Genre: eLearning Video | Duration: 15h 47m | Language: English

Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.

Robust Statistics: Theory and Methods (with R), 2nd edition  eBooks & eLearning

Posted by arundhati at Jan. 26, 2019
Robust Statistics: Theory and Methods (with R), 2nd edition

Ricardo A. Maronna, R. Douglas Martin, "Robust Statistics: Theory and Methods (with R), 2nd edition"
2019 | ISBN-10: 1119214688 | 464 pages | PDF | 5 MB