Stony Brook University
Data Science Fundamentals
CSE51d - Fall 2015
Resources
Background topic reviews
Probability Theory Review
Linear Algebra Review and Reference
Introduction to Linear Models and Matrix Algebra
Reference readings
A Practical Intro to Data Science
List of Relevant Courses and Books
Visualization software
Prefuse
(Information visualization software)
Cytoscape
Gephi
(Graph visualization software)
GraphViz
NetDraw
Graph analysis software
SNAP
(C++)
NetworkX
(Python)
Matlab_BGL
Related courses on the Web
Introduction to Data Science
by Columbia University
Introduction to Data Science
by Bill Howe
Mining Massive Datasets
by Jure Leskovec
Multimedia Databases and Data Mining
by Christos Faloutsos
Data and Visual Analytics
by Duen Horng (Polo) Chau
Stony Brook University, CSE 51d Data Science Fundamentals