Python Data Science Handbook

Python Data Science Handbook: Essential Tools for Working with Data  eBooks & eLearning

Posted by Grev27 at Nov. 23, 2016
Python Data Science Handbook: Essential Tools for Working with Data

Jake VanderPlas, "Python Data Science Handbook: Essential Tools for Working with Data"
English | ISBN: 1491912057 | 2016 | EPUB | 672 pages | 7,6 MB

Python Data Science Cookbook  

Posted by AlenMiler at Jan. 4, 2016
Python Data Science Cookbook

Python Data Science Cookbook by Gopi Subramanian
English | 16 Nov. 2015 | ISBN: 1784396400 | 438 Pages | MOBI/EPUB/PDF (True) | 30.66 MB
With: Code file

This book is intended for all levels of Data Science professionals, both students and practitioners, starting from novice to experts. Novices can spend their time in the first five chapters getting themselves acquainted with Data Science.

Python Data Science Essentials  

Posted by AlenMiler at Aug. 10, 2015
Python Data Science Essentials

Python Data Science Essentials by Alberto Boschetti
English | 30 Apr. 2015 | ISBN: 1785280422 | 258 Pages | EPUB/MOBI/PDF (True) | 11.29 MB

Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience. The book starts by introducing you to setting up your essential data science toolbox.

Learning Path: Introduction to Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 4, 2016
Learning Path: Introduction to Data Science with R

Learning Path: Introduction to Data Science with R
HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB
Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.

Python Data Visualization Solutions  eBooks & eLearning

Posted by FenixN at Nov. 29, 2016
Python Data Visualization Solutions

Python Data Visualization Solutions
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:27:23 | English: AAC, 128 kb/s (2 ch) | 687 MB
Genre: Development / Programming

Create attractive visualizations using Python’s most popular libraries.

Lynda - SQL Tips and Tricks for Data Science  eBooks & eLearning

Posted by U.N.Owen at Nov. 29, 2016
Lynda - SQL Tips and Tricks for Data Science

Lynda - SQL Tips and Tricks for Data Science
Size: 118 MB | Duration: 0h 59m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists.

Getting Started with R for Data Science  eBooks & eLearning

Posted by FenixN at Nov. 24, 2016
Getting Started with R for Data Science

Getting Started with R for Data Science
HDRips | MP4/AVC, ~107 kb/s | 1280x720 | Duration: 01:39:07 | English: AAC, 128 kb/s (2 ch) | 224 MB
Genre: Development / Programming

Unleash the powerful capabilities of R to work effectively with data.

The Facts on File Marine Science Handbook  eBooks & eLearning

Posted by tanas.olesya at Nov. 23, 2016
The Facts on File Marine Science Handbook

The Facts on File Marine Science Handbook by Scott McCutcheon
English | 30 Apr. 2003 | ISBN: 0816048126 | 273 Pages | PDF | 9 MB

Financial Analytics with R: Building a Laptop Laboratory for Data Science  eBooks & eLearning

Posted by Underaglassmoon at Nov. 20, 2016
Financial Analytics with R: Building a Laptop Laboratory for Data Science

Financial Analytics with R: Building a Laptop Laboratory for Data Science
Cambridge | Statistics | Oct. 6 2016 | ISBN-10: 1107150752 | 392 pages | pdf | 18.2 mb

by Mark J. Bennett (Author), Dirk L. Hugen (Author)

Data Science with R  eBooks & eLearning

Posted by FenixN at Nov. 20, 2016
Data Science with R

Data Science with R
HDRips | MP4/AVC, ~499 kb/s | 1280x720 | Duration: 15:14:52 | English: AAC, 128 kb/s (2 ch) | 3.53 GB
Genre: Development / Programming

Learn R and get comfortable with data science.