An Introduction to R And Python For Data Analysis
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach eBooks & eLearning
Posted by yoyoloit at April 12, 2023
An Introduction to R and Python For Data Analysis: A Side-By-Side Approach
by Taylor R. Brown
English | 2023 | ISBN: 1032203250 | 267 pages | True PDF | 6.05 MB
by Taylor R. Brown
English | 2023 | ISBN: 1032203250 | 267 pages | True PDF | 6.05 MB
An Introduction to R and Python for Data Analysis eBooks & eLearning
Posted by hill0 at Sept. 8, 2024
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach eBooks & eLearning
Posted by Free butterfly at Nov. 28, 2024
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach by Taylor R. Brown
English | June 28, 2023 | ISBN: 1032203250 | 246 pages | MOBI | 18 Mb
English | June 28, 2023 | ISBN: 1032203250 | 246 pages | MOBI | 18 Mb
Complete Data Science Training with Python for Data Analysis eBooks & eLearning
Posted by lucky_aut at March 10, 2024
Complete Data Science Training with Python for Data Analysis
Last updated 10/2021
Duration: 12h56m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.81 GB
Genre: eLearning | Language: English
Last updated 10/2021
Duration: 12h56m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.81 GB
Genre: eLearning | Language: English
Beginners python data analytics : Data science introduction : Learn data science : Python data analysis methods tutorial
Introduction to R programming & RStudio for beginners eBooks & eLearning
Posted by Sigha at Sept. 9, 2020
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
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
Python For Data Analysis by MTF Institute eBooks & eLearning
Posted by ELK1nG at May 13, 2025
Python For Data Analysis
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.44 GB | Duration: 4h 27m
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.44 GB | Duration: 4h 27m
Learn data cleaning, manipulation, statistics, and visualization using Python and the Python Pandas library
An Introduction to Statistics with Python eBooks & eLearning
Posted by AlenMiler at July 22, 2016
An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) by Thomas Haslwanter
English | 7 Aug. 2016 | ISBN: 3319283154 | 298 Pages | PDF (True) | 4.58 MB
English | 7 Aug. 2016 | ISBN: 3319283154 | 298 Pages | PDF (True) | 4.58 MB
This textbook provides an introduction to the free software Python and its use for statistical data analysis.
An Introduction to Statistics with Python: With Applications in the Life Sciences eBooks & eLearning
Posted by roxul at April 5, 2018
Thomas Haslwanter, "An Introduction to Statistics with Python: With Applications in the Life Sciences"
English | 7 Aug. 2016 | ISBN: 3319283154 | 298 Pages | EPUB | 3 MB
English | 7 Aug. 2016 | ISBN: 3319283154 | 298 Pages | EPUB | 3 MB
An Introduction to Statistics with Python: With Applications in the Life Sciences eBooks & eLearning
Posted by AvaxGenius at July 9, 2018
An Introduction to Statistics with Python: With Applications in the Life Sciences by Thomas Haslwanter
English | EPUB | 2016 | 285 Pages | ISBN : 3319283154 | 2.75 MB
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.
An Introduction to Statistics with Python: With Applications in the Life Sciences eBooks & eLearning
Posted by AvaxGenius at Nov. 16, 2022
An Introduction to Statistics with Python: With Applications in the Life Sciences by Thomas Haslwanter
English | PDF(True) | 2016 | 285 Pages | ISBN : 3319283154 | 4.6 MB
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.