r Data
R Data Science Code Challenges eBooks & eLearning
Posted by lucky_aut at Oct. 13, 2021
R Data Science Code Challenges
Duration: 44m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 400 MB
Level: Intermediate | Genre: eLearning | Language: English
Duration: 44m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 400 MB
Level: Intermediate | Genre: eLearning | Language: English
An Introduction to R: Data Analysis and Visualization (Research Skills) eBooks & eLearning
Posted by Free butterfly at March 17, 2024
An Introduction to R: Data Analysis and Visualization (Research Skills) by Mark Gardener
English | July 1, 2023 | ISBN: 1784273376 | 384 pages | PDF | 4.81 Mb
English | July 1, 2023 | ISBN: 1784273376 | 384 pages | PDF | 4.81 Mb
Advanced R: Data Programming and the Cloud eBooks & eLearning
Posted by hill0 at Aug. 25, 2020
Advanced R: Data Programming and the Cloud
by Matt Wiley
English | 2016 | ISBN: 1484220765 | 304 Pages | EPUB | 2 MB
by Matt Wiley
English | 2016 | ISBN: 1484220765 | 304 Pages | EPUB | 2 MB
R Programming: R Data Analysis and Statistics eBooks & eLearning
Posted by hill0 at April 26, 2022
R Programming: R Data Analysis and Statistics
English | 2022 | ASIN: B09YS3W715 | 143 Pages | PDF EPUB | 1 MB
English | 2022 | ASIN: B09YS3W715 | 143 Pages | PDF EPUB | 1 MB
Microsoft(R) OneNote(R): Data at Your Fingertips: Anytime, Anywhere and From Any Device eBooks & eLearning
Posted by First1 at Dec. 16, 2019
Microsoft(R) OneNote(R): Data at Your Fingertips: Anytime, Anywhere and From Any Device by Laura Leist
English | October 25th, 2019 | ISBN: 0986220248 | 144 pages | EPUB | 10.66 MB
English | October 25th, 2019 | ISBN: 0986220248 | 144 pages | EPUB | 10.66 MB
What Makes Me Qualified to Write This Book?
R Programming for Beginners eBooks & eLearning
Posted by lucky_aut at July 1, 2021
R Programming for Beginners
Duration: 8h 40m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 2.68 GB
Genre: eLearning | Language: English
Duration: 8h 40m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 2.68 GB
Genre: eLearning | Language: English
R Programming course for newbies. R installation, data types, statements, functions, conditions, packages, data frames.
What you'll learn
R for Python Data Science: Learn Data Manipulation with R eBooks & eLearning
Posted by lucky_aut at Dec. 31, 2022
R for Python Data Science: Learn Data Manipulation with R
Last updated 2022-12-23
Duration: 04:07:39 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.32 GB
Genre: eLearning | Language: English [Auto]
Last updated 2022-12-23
Duration: 04:07:39 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.32 GB
Genre: eLearning | Language: English [Auto]
R, Python data science with R programming, handle with data, manipulate data and outcomes with R (programming language)
Complete Python Data Science, Deep Learning, R Programming eBooks & eLearning
Posted by lucky_aut at Aug. 17, 2023
Complete Python Data Science, Deep Learning, R Programming
Last updated 8/2023
Duration: 23h21m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 7.05 GB
Genre: eLearning | Language: English
Last updated 8/2023
Duration: 23h21m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 7.05 GB
Genre: eLearning | Language: English
R: Data Analysis and Visualization eBooks & eLearning
Posted by Grev27 at March 9, 2018
Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, "R: Data Analysis and Visualization"
English | ISBN: 1786460483, ASIN: B01HOB5IRM | 2016 | PDF/EPUB/MOBI/Code files | 1783 pages | 332 MB
English | ISBN: 1786460483, ASIN: B01HOB5IRM | 2016 | PDF/EPUB/MOBI/Code files | 1783 pages | 332 MB
2021 R 4.0 Programming for Data Science || Beginners to Pro (6/2021) eBooks & eLearning
Posted by lucky_aut at July 17, 2021
2021 R 4.0 Programming for Data Science || Beginners to Pro
Duration: 14h 16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.45 GB
Genre: eLearning | Language: English
Duration: 14h 16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.45 GB
Genre: eLearning | Language: English
Learn Latest R 4 with R-Studio & Jupyter. DataFrame, Vectors, Matrix, DateTime, GGplot2, Tidyverse, Plotly, etc.