Introduction to Data Science

Introduction To Data Science [repost]  eBooks & eLearning

Posted by ParRus at Nov. 10, 2016
Introduction To Data Science [repost]

Introduction To Data Science
WEBRip | English | MP4 | 1280 x 720 | AVC ~936 kbps | 30 fps
AAC | 61.9 Kbps | 44.1 KHz | 2 channels | 05:52:02 | 2.39 GB
Genre: eLearning Video / Business, Data Analysis

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern data scientists rely upon daily to recognize trends and suggest courses of action.

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.

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.

Lynda - Introduction to Data Science  eBooks & eLearning

Posted by U.N.Owen at July 5, 2016
Lynda - Introduction to Data Science

Lynda - Introduction to Data Science
Size: 468 MB | Duration: 3h 6m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Beginner | Language: English

Introduction to Data Science provides a comprehensive overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.

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).

Introduction To Data Science  

Posted by naag at Nov. 3, 2015
Introduction To Data Science

Introduction To Data Science
MP4 | Video: 1280x720 | 63 kbps | 44 KHz | Duration: 6 Hours | 2.39 GB
Genre: eLearning | Language: English

Use the R Programming Language to execute data science projects and become a data scientist.
A Simple Introduction to Data Science: Book 2 (New Street Data Science Basics 2)

A Simple Introduction to Data Science: Book 2 (New Street Data Science Basics 2) by Lars Nielsen
English | Apr 7, 2015 | ASIN: B00VTW4RPM | 35 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.9 MB

Taking up where the bestselling a simple introduction to data science leaves off, Lars Nielsen's BOOK TWO expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics.
Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language

Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language
English | November 2014 | mp4 | H264 1920x1080 | AAC 1 ch 125 kbps | 4 hrs 26 min | 3.17 GB
eLearning

Complex Dynamics and Morphogenesis: An Introduction to Nonlinear Science  eBooks & eLearning

Posted by hill0 at Dec. 7, 2016
Complex Dynamics and Morphogenesis: An Introduction to Nonlinear Science

Complex Dynamics and Morphogenesis: An Introduction to Nonlinear Science by Chaouqi Misbah
English | 20 Dec. 2016 | ISBN: 940241018X | 484 Pages | PDF | 13.93 MB

This book offers an introduction to the physics of nonlinear phenomena through two complementary approaches: bifurcation theory and catastrophe theory. Readers will be gradually introduced to the language and formalisms of nonlinear sciences, which constitute the framework to describe complex systems.

Introduction to Data Analytics with KNIME  eBooks & eLearning

Posted by FenixN at Nov. 21, 2016
Introduction to Data Analytics with KNIME

Introduction to Data Analytics with KNIME
HDRips | MP4/AVC, ~562 kb/s | 1280x720 | Duration: 03:01:32 | English: AAC, 128 kb/s (2 ch) | 892 MB
Genre: Data Analytics

This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You'll learn about importing data from common data sources and how to investigate data using visual exploration, ETL, data blending, and some machine learning algorithms.