Videos of Probability and Statistics Courses
compiled by Dr. M. Hlynka, University of Windsor
Last update: August 20, 2017.
Texas A&M R video Tutorial. Short simple and good.
Level: Undergrad
OTHER TOPICS
 Texas A&M SAS Tutorial. Basic and good.
Level: undergrad
 Exploratory Data Analysis (EDA). Boris Steipe. 2011.
http://bioinformatics.ca/workshops/2011/exploratorydataanalysisandessentialstatisticsusingr
 LISA, at Virginia Tech University. There are MANY tutorial videos here
on various topics, some quite good.
Level: elementary to advanced.
http://www.lisa.stat.vt.edu/?q=short_courses

Six Sigma, IIT Kharagpur, T. P. Bagchi, 40 one hour lectures. Quality
Control.
Level: graduate/ advanced undergraduate, applied statistics
http://freevideolectures.com/Course/3013/SixSigma

Probabilistic Graphical Models. Daphne Koller. Stanford University.
9 week course. Bayesian networks, Markov networks, MCMC. Good.
Level: Graduate
https://www.coursera.org/course/pgm

Probability Primer. Mathematical Monk. 42 videos of 15 minutes each. Nice.
Level: Measure theory probability.
http://www.youtube.com/watch?v=Tk4ubu7BlSk&list=PL17567A1A3F5DB5E4

Mathematical Foundations of Computer Networking. S. Keshav. U of Waterloo.
Includes linear programming, queueing, intro probability. 62 videos, 39 hours
Level: graduate
http://blizzard.cs.uwaterloo.ca/keshav/mediawiki1.4.7/index.php/Lecture_videos
 Martingale. A single lecture by Hans Gerber of GerberShiu fame.
http://www.personal.psu.edu/afs1/gerber_m/
 Nonparametric Statistics for Experiments, by Daniel Houser
One 90 minute summary. Good speaker.
Level: medium undergrad
http://newmedia.ufm.edu/gsm/index.php?title=Houserstatistics
 Random Matrix Theory. Pierpaolo Vivo. 2013. University of Paris. 6
hours. Good speaker. Nice format.
Level: Graduate
http://videolectures.net/netadis2013_vivo_random_matrices/
 Introduction to Data Science. Bill Howe. University of Washington.
30 hours?
Level: Grad
https://class.coursera.org/datasci001/lecture
 Model Thinking, by Scott E. Page. 30 hours
Level: Grad
https://class.coursera.org/modelthinking006/lecture
 Operations Management Video Series, by Lisa Bussom  Widener
University. 142 videos. 3 hours, 44 minutes. Speaks well.
Level: Advanced undergrad
https://www.youtube.com/playlist?list=PLwcu5sBq_fM4RkvjDoEOAHPmwCRppS4jX
 Computer Systems Performance Analysis. Raj Jain. Washington
Univ. St. Louis. Includes measurement,
modelling, queueing, regression,
experimental design, simulation. 49 videos. 20 hours.
Level: Graduate
https://www.youtube.com/playlist?list=PLoCUlAGhY8dLc1Qgo8WO9IuJvg9xdt9G
 Data Science. Series of colloquia by various speakers. USC and NIH.
https://bigdatau.ini.usc.edu/datascienceseminars
 Deep Learning (DLSS) Summer School,Montreal 2017
Series of lectures by different speakers at high level, including topics
such as machine learning, neural networks.
http://videolectures.net/deeplearning2017_montreal/
"Coursera is a forprofit educational technology company offering massive
open online courses (MOOCs) founded by computer science professors Andrew
Ng and Daphne Koller from Stanford University. Coursera works with
universities to make some of their courses available online.
Courses are generally free, but there are ways to generate revenue,
including certification fees, introducing students to potential employers
and recruiters (with student consent), tutoring, sponsorships and tuition
fees." (wikipedia)
In statistics there is a large list of courses.
https://www.coursera.org/courses?orderby=upcoming&cats=stats
EdX is similar to Coursera but with a smaller selection of
courses.
https://www.edx.org/courselist/allschools/statisticsdataanalysis/allcourses