Playlists:

  • Statistics Fundamentals: These videos give you a general overview of statistics as well a reference for statistical concepts. Topics include:
    • Histograms
    • What is a statistical distribution?
    • And many more!!!
  • Linear Regression and Linear Models: These videos teach the basics relating to one of statistics most powerful tools. Linear Regression and Linear Models allow us to use continuous values, like weight or height, and categorical values, like favorite color or favorite movie, to predict a continuous value, like age.
  • Logistic Regression: These videos pick up where Linear Regression and Linear Models leave off. Now, instead of predicting something continuous, like age, we can predict something discrete, like whether or not someone will enjoy the 1990 theatrical bust Troll 2.
  • Machine Learning: Linear Models and Logistic Regression are just the tips of the machine learning iceberg. There’s tons more to learn, and this playlist will help you trough it all, one step at a time.
  • Neural Networks, Deep Learning, and AI: Everything you need to know, from the basics, to image classification with Convolutional Neural Networks, to the state of the art transformers used for large language models like ChatGPT, presented one step at a time so that it is easily understood.
    • I also have a complete course on Attention, a learning mechanism in Large Language Models like ChatGPT at deeplearning.ai
  • High-Throughput Sequence Analysis: If you do high-throughput sequence analysis, this playlist is for you!
  • Statistics in R: If you want to do any of this stuff in R, this playlist is for you, and you only. No one else is allowed to watch it.
  • #66DaysOfData: If you want to participate in Ken Jee’s #66DaysOfData and are having trouble thinking of new stuff to learn, here’s a playlist that covers everything from the basics to the fancy stuff.
  • The StatQuest Musical Dictionary: Short songs to help you remember all of the data science terminology.

Statistics Fundamentals:

Machine Learning and Dealing with large datasets that have lots and lots of measurements per sample:

NOTE: All of the linear model and curve fitting stuff in the Statistics Fundamentals section is also considered Machine Learning, so make sure you check out those videos).

Neural Networks, Deep Learning, and AI:

NOTE: All of the neural network videos and more are covered in The StatQuest Illustrated Guide to Neural Networks and AI (with hands-on tutorials in PyTorch).