Data Analysis With Competing Risks And Intermediate States

Data Analysis with Competing Risks and Intermediate States

Data Analysis with Competing Risks and Intermediate States by Ronald B. Geskus
2015 | ISBN: 1466570350 | English | 277 pages | PDF | 3 MB

Lynda - Introduction to Data Analysis with Python  

Posted by U.N.Owen at Nov. 12, 2015
Lynda - Introduction to Data Analysis with Python

Lynda - Introduction to Data Analysis with Python
Size: 566MB | Duration: 2h 16m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

If you're going to work with big data, you'll probably be using R or Python. And if you're using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them.

Automated Data Management With EBS S3 And Glacier  

Posted by C2U at Feb. 22, 2015
Automated Data Management With EBS S3 And Glacier

Cloudacademy - Automated Data Management With EBS S3 And Glacier
562MB | 45m | Video: AVC (.mp4) 1920x1080 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English


Data management is a key part of the infrastructure of most organizations, especially those dealing with large data stores. For example, imagine a team involved in scientifical analysis of data: they probably require a system to store the raw data in, another to analyze chunks of data quickly and cost-efficiently, and long-term archival to keep both the raw data and the result of their computation. In cases like that, it's important to deploy an automated system that can move data efficiently with integrated automatic backups.
Competing Risks and Multistate Models with R (Use R!) (repost)

Competing Risks and Multistate Models with R (Use R!) by Jan Beyersmann, Arthur Allignol and Martin Schumacher
English | ISBN: 1461420342 | 2011 | PDF | 249 pages | 2 MB

This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.

Competing Risks and Multistate Models with R [Repost]  

Posted by ChrisRedfield at Nov. 18, 2013
Competing Risks and Multistate Models with R [Repost]

Jan Beyersmann, ‎Arthur Allignol, ‎Martin Schumacher - Competing Risks and Multistate Models with R
Published: 2011-11-18 | ISBN: 1461420342 | PDF | 257 pages | 3 MB
Competing Risks and Multistate Models with R (Use R!)

Jan Beyersmann, "Competing Risks and Multistate Models with R (Use R!)"
ISBN: 1461420342 | 2011 | PDF | 249 pages | 4.6 MB
Dianne Cook, Deborah F. Swayne - Interactive and Dynamic Graphics for Data Analysis: With R and GGobi [Repost]

Dianne Cook, Deborah F. Swayne - Interactive and Dynamic Graphics for Data Analysis: With R and GGobi
2007 | ISBN: 0387717617 | English | 190 pages | PDF | 5.2 MB

Udemy – Data Analysis with Python and Pandas [repost]  eBooks & eLearning

Posted by house23 at Oct. 25, 2016
Udemy – Data Analysis with Python and Pandas [repost]

Udemy – Data Analysis with Python and Pandas
MP4 | AVC 462kbps | English | 1280x720 | 30fps | 6 hours | AAC stereo 64kbps | 2.26 GB
Genre: Video Training

Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!

Pluralsight - Exploratory Data Analysis with R [repost]  eBooks & eLearning

Posted by house23 at Oct. 9, 2016
Pluralsight - Exploratory Data Analysis with R [repost]

Pluralsight - Exploratory Data Analysis with R
MP4 | AVC 426kbps | English | 1024x768 | 15fps | 2h 29mins | AAC stereo 79kbps | 422 MB
Genre: Video Training

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This course will provide an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis to complete day-to-day developer tasks.

Data Analysis with Open Source Tools [Repost]  eBooks & eLearning

Posted by tanas.olesya at July 8, 2016
Data Analysis with Open Source Tools [Repost]

Data Analysis with Open Source Tools by Philipp K. Janert
English | 28 Nov. 2010 | ISBN: 0596802358 | 533 Pages | PDF | 15 MB

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment.