Introduction to Probability, Statistics, and Random Processes by
Hossein Pishro-Nik. Includes a text and some videos.
Level: intro math stat.
http://www.probabilitycourse.com
Opinionated Lessons in Statistics, by Bill Press, University of Texas,
49 lectures of 30 minutes each. Mainly elementary with some advanced
topics - 3 lectures
on MCMC, a lecture on principal components and a lecture on permutation
tests.
Level: undergraduate
http://www.youtube.com/playlist?list=PLUAHeOPjkJseXJKbuk9-hlOfZU9Wd6pS0
Introduction to machine learning. with Trevor Hastie and Rob Tibshirani,
Stanford. 15 hours. Uses their own book An Introduction to Statistical
Learning with Applications in R (free downloadable or for sale in hard
cover). V. Good.
http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
Jeremy Balka's Statistics website. Basically a course in elementary
statistics, but he has a nice section giving an intro to simple linear
regression.
Recommended.
http://www.jbstatistics.com/
Statistics with R: Courtney Brown. Emory University. Political Science
Course. Applied Stat. Half regression. Great speaker, great
anecdotes.
Fascinating story of 1960 Kennedy/Nixon election in Lecture 1 at time
37:20
Level: advanced undergraduate, graduate
https://www.youtube.com/watch?v=2-kw1MlOS1U&list=PL7mT7MDlWGhXS54yIGEjmck7Rmqp_WBBR
Econometrics Academy. Ani Katchova. Includes regression, time series,
principal components, factor analysis, logit, probit analysis.
Looks good.
Level: Graduate
https://sites.google.com/site/econometricsacademy/
Dr. Dawg. 611 Statistics course. Includes Factor analysis, regression,
ANOVA, MANOVA, nonparametrics. 44 vidoes of 7 minutes each.
https://www.youtube.com/user/TAMUCDrDawg
Stochastic Hydrology. by Prof. P. P. Mujumdar, Department of Civil Engineering, IISc Bangalore
40 videos, 38 hours. Time series, multivariate methods. (Don't let the
course title deceive you.)
Level: graduate, applied
https://www.youtube.com/playlist?list=PLC2E6D572A3227164
Whats New in Econometrics? Time Series. NBER Summer Institute 2008.
James Stock, Harvard, Mark Watson, Princeton.
Level: Advanced. Assumes previous knowledge of time series.
http://www.nber.org/SI_econometrics_lectures.html
3rd Short Course on Statistical Genetics and Genomics. University of
Alabama at Birmingham. 2013.
Level: Grad
http://www.soph.uab.edu/ssg/nigmsstatgen/third#
If one changes "third" to "first","second","fourth", one will find similar
short courses, perhaps with some different speakers.
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
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 for-profit 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