Data Analysis Pdf

Udemy - Learning Python for Data Analysis and Visualization (Repost)  eBooks & eLearning

Posted by First1 at Aug. 18, 2017
Udemy - Learning Python for Data Analysis and Visualization (Repost)

Udemy - Learning Python for Data Analysis and Visualization (Repost)
Size: 3.98 GB | Duration: 21 hrs 1 mn | Video: AVC (.mp4) 1920x1080 30fps | Audio: AAC 44KHz 2ch
Genre: eLearning | Language: English | + Articles, Supplemental Resources

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video! The last update (3/2017) is included!

Basic Data Analysis with Java  eBooks & eLearning

Posted by naag at Aug. 18, 2017
Basic Data Analysis with Java

Basic Data Analysis with Java
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 875 MB
Genre: eLearning | Language: English

Data Analysis Using Hierarchical Generalized Linear Models with R  eBooks & eLearning

Posted by ksveta6 at Aug. 16, 2017
Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R by Youngjo Lee, Lars Ronnegard, Maengseok Noh
2017 | ISBN: 1138627828 | English | 334 pages | PDF | 23 MB

Intelligent Data Analysis and Applications  eBooks & eLearning

Posted by ChrisRedfield at Aug. 13, 2017
Intelligent Data Analysis and Applications

Ajith Abraham, Xin Hua Jiang, Václav Snášel, Jeng-Shyang Pan - Intelligent Data Analysis and Applications
Published: 2015-06-26 | ISBN: 3319212052 | PDF | 560 pages | 21.62 MB
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist [Repost]

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund
English | 13 Mar. 2017 | ISBN: 1484226704 | 384 Pages | PDF | 6.46 MB

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

Data Analysis: A Bayesian Tutorial  eBooks & eLearning

Posted by leonardo78 at Aug. 1, 2017
Data Analysis: A Bayesian Tutorial

Data Analysis: A Bayesian Tutorial by Devinderjit Sivia, John Skilling
Language: English | 2006 | ISBN: 0198568320 | 264 pages | PDF | 5,85 MB

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.

R Data Analysis Solutions - Machine Learning Techniques  eBooks & eLearning

Posted by naag at July 31, 2017
R Data Analysis Solutions - Machine Learning Techniques

R Data Analysis Solutions - Machine Learning Techniques
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 12M | 705 MB
Genre: eLearning | Language: English
R Data Analysis Solution – Analyzing Time-Series and Social Media Data, and More

R Data Analysis Solution – Analyzing Time-Series and Social Media Data, and More
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 623 MB
Genre: eLearning | Language: English
Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition (Repost)

Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition By Thomas A. Runkler
English | EPUB | 2016 | 150 Pages | ISBN : 3658140747 | 2.91 MB

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications.