Posted by **hill0** at March 23, 2017

English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

Posted by **naag** at March 10, 2017

5 April 2017 | English | ISBN: 1484226704 | 352 pages | EPUB | 2.5 Mb

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Posted by **hill0** at March 9, 2017

English | 5 Apr. 2017 | ISBN: 1484226704 | 352 Pages | PDF | 6.46 MB

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

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.

Posted by **house23** at Oct. 25, 2016

MP4 | AVC 462kbps | English | 1280x720 | 30fps | 6 hours | AAC stereo 64kbps | 2.26 GB

Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!

Posted by **house23** at Oct. 22, 2016

MP4 | AVC 791kbps | English | 1280x720 | 30fps | 5 hours | AAC stereo 52kbps | 961 MB

This Python course will get you up and running with using Python for data analysis and visualization. You will learn how to handle, analyze and visualize data in Python by actually completing two big data analysis projects, one demonstrated through videos and another laid out through six exercises. The course assumes you have no prior knowledge of Python, so you also get to learn the basics of Python in the first two sections of the course. However, if you already know Python, the first two sections can serve as a refresher before you jump into the data analysis and visualization part.

Posted by **house23** at Oct. 9, 2016

MP4 | AVC 426kbps | English | 1024x768 | 15fps | 2h 29mins | AAC stereo 79kbps | 422 MB

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This course will provide an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis to complete day-to-day developer tasks.

Posted by **FenixN** at Oct. 3, 2016

HDRips | MP4/AVC, ~865 kb/s | 1280x720 | Duration: 03:46:04 | English: AAC, 128 kb/s (2 ch) | 1.39 GB

Master data analysis with Excel 2013 on your terms with this one-of-a-kind video training course. Excel 2013 is Microsofts industry leading spreadsheet application that allows you to organize, visualize and calculate your data.

Posted by **Underaglassmoon** at Sept. 15, 2016

Wiley | Programming | October 03, 2016 | ISBN-10: 1118169484 | 464 pages | pdf | 11.08 mb

by Ion Mandoiu (Author)

Posted by **FenixN** at May 13, 2015

29xHDRip | WMV/WMV3, ~459 kb/s | 640x480 | Duration: 22:04:43 | English: WMA, 32 kb/s (1 ch) | 4.57 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.