DSCI 551: Descriptive Statistics and Probability for Data Science
Fundamental concepts in probability. Describing data generated from a probability distribution. Statistical view of data coming from a probability distribution.
Click here for the rendered lecture notes.
|Lecture 2||Parametric families||discrete||univariate|
|Lecture 4||Joint probability, Part I||discrete||bivariate|
|Lecture 5||Continuous distributions||continuous||univariate|
|Lecture 6||Joint probability, Part II||continuous||bivariate|
|Lecture 8||Noteworthy Distribution Families||continuous||bivariate/multivariate|
You are responsible for the following deliverables, which will determine your course grade:
|Lab Assignment 1||15%|
|Lab Assignment 2||15%|
|Lab Assignment 3||15%|
|Lab Assignment 4||15%|
- JBstatistics (also on YouTube)
- Seeing Theory
- Introduction to Probability, Statistics, and Random Processes
- Harvard STAT 110 course plus YouTube videos
- Probability Cheatsheet and another one
Note: some of these resources cover much more material than DSCI 551.