The MA degree at Penn assumes a fair amount of prior knolwedge of statistics, data mining, and computer programming, but we know not everyone has had the same opportunities to obtain this knowledge. Here are a few resources that we've gathered that could be helpful to you.
Statistics -- A Full University Course of Data Science Basics: https://www.youtube.com/watch?v=xxpc-HPKN28
Discovery with Models: https://www.youtube.com/watch?v=c07kF0IU2kc
Dan Jurafsky's NLP Textbook: https://web.stanford.edu/~jurafsky/slp3/
Std. Deviation vs. Std. Error: https://www.youtube.com/watch?v=A82brFpdr9g
Stats Tools
Cohen's Kappa Calculation Sheet
Stats Training
Coursera's improving your statistical inferences
Research Methods & Statistics YouTube Series
Moore Statistics Consulting Twitter
Brandon Foltz's Youtube Statistics 101
Jurafsky's NLP Textbook: https://web.stanford.edu/~jurafsky/slp3/
With love to the visualization expert at https://xkcd.com/