These are the lectures from the Caltech-JPL Virtual Summer School in Big Data Analytics recorded in 2014-2015, and offered on Coursera. These were given by a group of lecturers from Caltech and JPL. The videos linked below are on the Caltech YouTube website. There is also a FaceBook group associated with it.

Best Programming Practices - A. Mahabal

Databases - M. Graham

Statistics: Basic Probability and Inference - A. Braverman

Statistics: Introduction to R - A. Mahabal

Machine Learning: Introduction, Classification, and Clustering - C. Donalek

Machine Learning: Decision Trees and Random Forests - T. Fuchs

Machine Learning: Dimensionality Reduction - D. Thompson

Visualization, Part I - S. Lombeyda

Visualization, Part II - S. Davidoff

Cloud Computing, Semantics, and Genetic Algorithms - J. Bunn, M. Graham

Big Data Architecture and Content Detection - C. Matmann