R Data Science

R for Data Science - R Data Science Tips, Solutions and Strategies [Repost]  eBooks & eLearning

Posted by tanas.olesya at May 28, 2016
R for Data Science - R Data Science Tips, Solutions and Strategies [Repost]

R for Data Science - R Data Science Tips, Solutions and Strategies by Dan Toomey
English | Dec. 19, 2014 | ISBN: 1784390860 | 364 Pages | PDF | 32 MB

Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python  eBooks & eLearning

Posted by AlenMiler at April 24, 2016
Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python

Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python von Joel Grus
Deutsch | 24. März 2016 | ISBN: 3960090218 | 352 Seiten | AZW3/MOBI/EPUB/PDF (conv) | 15.5 MB

Dieses Buch führt Sie in Data Science ein, indem es grundlegende Prinzipien der Datenanalyse erläutert und Ihnen geeignete Techniken und Werkzeuge vorstellt.

Programming Languages for Data Science (Julia, Scala, Python, and R)  eBooks & eLearning

Posted by naag at March 27, 2017
Programming Languages for Data Science (Julia, Scala, Python, and R)

Programming Languages for Data Science (Julia, Scala, Python, and R)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 36M | 88 MB
Genre: eLearning | Language: English

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)  eBooks & eLearning

Posted by hill0 at March 23, 2017
Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) by Nicholas J. Horton
English | 23 Feb. 2017 | ISBN: 1498724485 | 582 Pages | PDF | 91.04 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.

Learning Path: Julia: Explore Data Science with Julia  eBooks & eLearning

Posted by FenixN at March 16, 2017
Learning Path: Julia: Explore Data Science with Julia

Learning Path: Julia: Explore Data Science with Julia
HDRips | MP4/AVC, ~137 kb/s | 1280x720 | Duration: 05:33:29 | English: AAC, 128 kb/s (2 ch) | 869 MB
Genre: Development / Programming

Use the advanced features of Julia to work with complex data

Lynda - The Data Science of Marketing  eBooks & eLearning

Posted by U.N.Owen at March 16, 2017
Lynda - The Data Science of Marketing

Lynda - The Data Science of Marketing
Size: 597 MB | Duration: 2h 21m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Marketing is changing right in front of our eyes, and that transformation is being led by data.
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
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.
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund
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.

Reactive Python for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Reactive Python for Data Science

Reactive Python for Data Science
HDRips | MP4/AVC, ~2000 kb/s | 1920x1080 | Duration: 02:17:37 | English: AAC, 128 kb/s (2 ch) | 2.00 GB
Genre: Development / Programming

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.

Julia for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 10, 2017
Julia for Data Science

Julia for Data Science
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 02:41:23 | English: AAC, 128 kb/s (2 ch) | 546 MB
Genre: Development / Programming

Refine your data science skills with the heavy armory of tools provided by Julia