Introduction to Probability an Statistics Using R

Data Science, Ai, And Machine Learning With R  eBooks & eLearning

Posted by ELK1nG at Aug. 23, 2024
Data Science, Ai, And Machine Learning With R

Data Science, Ai, And Machine Learning With R
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 35.74 GB | Duration: 50h 43m

Gain practical experience in R for Data Analysis, Machine Learning and Artificial Intelligence. Become a Data Scientist.

Introduction To Biostatistics  eBooks & eLearning

Posted by ELK1nG at Oct. 28, 2024
Introduction To Biostatistics

Introduction To Biostatistics
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.66 GB | Duration: 6h 31m

Introduction to basic Statistics with Probability and T-test and Basic Categorical Analysis with Chi-Squared

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

Introduction To Statistics (English Edition)  eBooks & eLearning

Posted by ELK1nG at March 4, 2024
Introduction To Statistics (English Edition)

Introduction To Statistics (English Edition)
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.24 GB | Duration: 4h 1m

This course is an introduction to statistics, covering probability distributions, estimation, and hypothesis testing.

Beginning R: An Introduction to Statistical Programming (repost)  eBooks & eLearning

Posted by Willson at Oct. 5, 2015
Beginning R: An Introduction to Statistical Programming (repost)

Larry A. Pace, "Beginning R: An Introduction to Statistical Programming"
English | 2012 | ISBN: 1430245549 | 336 pages | PDF | 8.3 MB

Predictive Analytics & Modeling: R | Minitab | Spss | Sas  eBooks & eLearning

Posted by ELK1nG at Dec. 10, 2024
Predictive Analytics & Modeling: R | Minitab | Spss | Sas

Predictive Analytics & Modeling: R | Minitab | Spss | Sas
Last updated 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 30.16 GB | Duration: 49h 46m

Master predictive analytics and become a data expert with our all-inclusive course on R, Minitab, SPSS, and SAS!

Applied Bayesian Data Analysis With R  eBooks & eLearning

Posted by ELK1nG at June 26, 2025
Applied Bayesian Data Analysis With R

Applied Bayesian Data Analysis With R
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.51 GB | Duration: 5h 11m

Build powerful statistical models, simulate uncertainty, & master Bayesian thinking using real data & modern tools in R

Foundations and Applications of Statistics : An Introduction Using R, Second Edition  eBooks & eLearning

Posted by readerXXI at Aug. 26, 2018
Foundations and Applications of Statistics : An Introduction Using R, Second Edition

Foundations and Applications of Statistics : An Introduction Using R, Second Edition
by Randall Pruim
English | 2018 | ISBN: 1470428482 | 842 Pages | PDF | 16 MB

Data Science: Probability and Statistics  eBooks & eLearning

Posted by lucky_aut at Nov. 22, 2025
Data Science: Probability and Statistics

Data Science: Probability and Statistics
Last updated 11/2025
Duration: 7h 36m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 1.83 GB
Genre: eLearning | Language: English

Master Descriptive Statistics, Data Visualization, Probability, and Hypothesis Testing from Scratch using Python
An Introduction to Statistical Methods and Data Analysis, 5th Edition (repost)

An Introduction to Statistical Methods and Data Analysis, 5th Edition by R. Lyman Ott, Micheal T. Longnecker
English | 2010 | ISBN: 0534251226 | 1184 pages | PDF | 14 MB

Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses