Data Science Essentials in Python

Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value

Dmitry Zinoviev, "Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value"
English | ISBN: 1680501844 | 2016 | PDF | 200 pages | 6 MB

Data Science Programming in Python  eBooks & eLearning

Posted by AlenMiler at Nov. 16, 2016
Data Science Programming in Python

Data Science Programming in Python by Anita Raichand
English | 11 Nov 2016 | ASIN: B01MTLYJ3Y | 95 Pages | MOBI/EPUB/PDF | 13.14 MB

Learn Data Science Programming in Python including munging, aggregating, and visualising data.

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.

Springer Series - Essentials in Ophthalmology (2004-2015)  

Posted by Underaglassmoon at Feb. 25, 2015
Springer Series - Essentials in Ophthalmology (2004-2015)

Springer Series - Essentials in Ophthalmology (2004-2015)
Springer Series | Ophthalmology | 2004 - 2015 | ISSN: 1612-3212 | 32 Volumes | pdf | 284.6 mb

Essentials in Ophthalmology aims to promote the rapid and efficient transfer of medical research into clinical practice. It is published in four volumes per year. Covering new developments and innovations in all fields of clinical ophthalmology, it provides the clinician with a review and summary of recent research and its implications for clinical practice. Each volume is focused on a clinically relevant topic and explains how research results impact diagnostics, treatment options and procedures as well as patient management

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

Posted by AlenMiler at Dec. 7, 2016
Python Data Science Handbook: Essential Tools for Working with Data

Python Data Science Handbook: Tools and Techniques for Developers by Jake VanderPlas
English | 25 Mar. 2016 | ISBN: 1491912057 | 300 Pages | AZW3/MOBI/PDF (conv) | 26.16 MB

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery.

Big Data MBA: Driving Business Strategies with Data Science  eBooks & eLearning

Posted by interes at Dec. 7, 2016
Big Data MBA: Driving Business Strategies with Data Science

Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo
English | 2015 | ISBN: 1119181119 | 312 pages | True PDF | 5,8 MB

Lynda - Delivering in Data Science Sprints  eBooks & eLearning

Posted by U.N.Owen at Dec. 6, 2016
Lynda - Delivering in Data Science Sprints

Lynda - Delivering in Data Science Sprints
Size: 513 MB | Duration: 1h 16m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Appropriate for all | Language: English

A data science team asks great questions, explores the data, and delivers key insights.

Learning Path: Intermediate Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 5, 2016
Learning Path: Intermediate Data Science with R

Learning Path: Intermediate Data Science with R
HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)
Size: 4,78 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 all the features you'll need as a data scientist, from the basics to more advanced techniques including R Graph and machine learning. You'll work your data like never before.

Advanced Statistical Methods in Data Science (ICSA Book Series in Statistics)  eBooks & eLearning

Posted by hill0 at Dec. 5, 2016
Advanced Statistical Methods in Data Science (ICSA Book Series in Statistics)

Advanced Statistical Methods in Data Science (ICSA Book Series in Statistics) by Ding-Geng Chen
English | 23 Dec. 2016 | ISBN: 9811025932 | 222 Pages | PDF | 5.18 MB

This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015.

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.