Posted by **ksenya.b** at Jan. 15, 2015

MP4 | 960 x 540 (1.778) @ 59.940 fps | Language: English | 715 MB

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

Posted by **AlenMiler** at April 22, 2017

English | 17 Apr. 2017 | ASIN: B071D6D1SZ | 528 Pages | AZW3 | 23.82 MB

Posted by **hill0** at April 17, 2017

English | 11 July 2013 | ISBN: 3319000314 | 436 Pages | EPUB | 3.35 MB

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models

Posted by **nebulae** at April 16, 2017

English | ISBN: 1119003555 | 2017 | 528 pages | PDF | 94 MB

Posted by **thingska** at April 12, 2017

English | 2008 | ISBN: 1584885947, 9781584885948 | 290 Pages | PDF | 16.69 MB

Posted by **naag** at April 11, 2017

English | July 28, 2015 | ISBN: 3319201751 | 188 Pages | EPUB | 0.8 MB

Posted by **naag** at Jan. 28, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: | 1.87 GB

Learn how to use Excel for data analysis to an expert level and be able to apply this practical skill in any field.

Posted by **FenixN** at Jan. 18, 2017

HDRips | MP4/AVC, ~468 kb/s | 1280x720 | Duration: 11:33:12 | English: AAC, 128 kb/s (2 ch) | 2.14 GB

Learn to perform efficient data analysis using Haskell

Posted by **interes** at Nov. 14, 2016

English | 2015 | ISBN: 1107113083 | 578 pages | PDF | 5 MB

Posted by **ParRus** at Nov. 13, 2016

University of Washington with J. Nathan Kutz

WEBRip | English | MP4 | 960 x 540 | AVC ~171 kbps | 30.920 fps

AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 22:11:46 | 3.39 GB

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.