Posted by **FenixN** at Dec. 4, 2016

HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB

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.

Posted by **ParRus** at Nov. 10, 2016

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

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.

Posted by **ParRus** at June 24, 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

AAC | 125 Kbps | 44.1 KHz | 2 channels | Subs: English (srt) | 14:00:31 | 3.7 GB

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.

Posted by **First1** at June 5, 2017

Size: 394.67 MB | Duration: 4 hours | Video: AVC (.mp4) 960x540 29.97fps | Audio: AAC 44KHz 1ch

This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions.

Posted by **naag** at May 29, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 39 | 451 MB

An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.

Posted by **AvaxGenius** at Feb. 22, 2017

English | PDF,EPUB | 2017 | 257 Pages | ISBN : 3319500163 | 11.13 MB

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.

Posted by **U.N.Owen** at July 5, 2016

Size: 468 MB | Duration: 3h 6m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch

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

Posted by **house23** at Feb. 16, 2016

MP4 | AVC 88kbps | English | 960x540 | 30fps | 16h 03mins | AAC stereo 113kbps | 3.88 GB

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).

Posted by **naag** at Nov. 3, 2015

MP4 | Video: 1280x720 | 63 kbps | 44 KHz | Duration: 6 Hours | 2.39 GB

Use the R Programming Language to execute data science projects and become a data scientist.

Posted by **AlenMiler** at April 9, 2015

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.