Learning Resources

This compilation will grow. Feel free to suggest additions.

Some on-line classes and tutorials in this arena:

• "The Fourth Paradigm" (free book download from Microsoft Research)

• Yaser Abu-Mostafa's Caltech class "Learning From Data"

• Andrew's Moore statistics and data mining tutorial

• Bill Howe's "Introduction to Data Science" class on Coursera

• JHU's Data Sciences classes on Coursera

• Courses offered at IACS at Harvard

• KDnuggets has a good list

• Software Carpentry

• On-line material for the book 'Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics' by F. Murtagh.

• Data Carpentry

• A complete introductory course on Machine Learning

Some useful summer schools with on-line lectures:

• Caltech-JPL Big Data Analytics Virtual Summer School (2014-2015, originally at Coursera)

• TIARA Summer School on Astrostatistics and Big Data, September 4-8, 2017, Taipei, Taiwan . Slides are linked here, and videos are linked here

• XXX Canary Islands Winter School of Astrophysics, "Big Data Analysis in Astronomy", La Laguna, Tenerife, Spain, November 4-10, 2018

• La Serena School for Data Science: Applied Tools for Data-driven Sciences (multiple years)

• Penn State's Summer Schools in Statistics for Astronomers, June 3-7, 2019 (see PSU Center for Astrostatistics for the previous years and other useful links)

On-Line Books on Data Mining and Machine Learning:

• "Pattern Recognition and Machine Learning" , C.M. Bishop

• "Introduction to Statistical Learning", G. James, D. Witten, T. Hastie and R. Tibshirani, 2009, free download

• "The Elements of Statistical Learning", T. Hastie, R. Tibshirani J. Friedman, 2009, free download

• "Gaussian Processes for Machine Learning", Carl Edward Rasmussen and Christopher K. I. Williams, The MIT Press, 2006: free download