Coursera Data Science

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.

Coursera - Genomic Data Science Specialization (2016)  eBooks & eLearning

Posted by ParRus at April 13, 2016
Coursera - Genomic Data Science Specialization (2016)

Coursera - Genomic Data Science Specialization (2016)
WEBRip | English | MP4 + PDF Guides + work files | 960 x 540 | AVC ~63.6 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~32 hours | 3.79 GB
Genre: eLearning Video / Medicine, Biology and Genetics, Science

This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics.

Coursera - Process Mining: Data Science in Action [repost]  eBooks & eLearning

Posted by ParRus at Feb. 18, 2016
Coursera - Process Mining: Data Science in Action [repost]

Coursera - Process Mining: Data Science in Action
WEBRip | English | MP4 | 960 x 540 | AVC ~151 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 13:23:25 | 1.68 GB
Genre: eLearning Video / Computer Science, Engineering and Technology

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining.

Coursera - Introduction to Data Science  

Posted by house23 at Feb. 16, 2016
Coursera - Introduction to Data Science

Coursera - Introduction to Data Science
MP4 | AVC 88kbps | English | 960x540 | 30fps | 16h 03mins | AAC stereo 113kbps | 3.88 GB
Genre: Video Training

Commerce and research is being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula. Tour the basic techniques of data science, including both SQL and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries), algorithms for data mining (e.g., clustering and association rule mining), and basic statistical modeling (e.g., linear and non-linear regression).

Coursera - Introduction to Data Science (2013)  eBooks & eLearning

Posted by ParRus at June 24, 2013
Coursera - Introduction to Data Science (2013)

Coursera - Introduction to Data Science (2013)
English | MP4 | 960 x 540 | AVC ~72.8 kbps | 30 fps
AAC | 125 Kbps | 44.1 KHz | 2 channels | Subs: English (srt) | 14:00:31 | 3.7 GB
Genre: eLearning Video / Software Engineering, Statistics and Data Analysis

Commerce and research is being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula.

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.