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Fundamentals of Statistical Data Science

This repository contains notes and assignments from STA 141A at UC Davis in Fall Quarter 2019.

Important links:

Lecture Notes:

Day Notes Topics
1 Sep 27 R Basics
2 Oct 02 Paths, Loading Data, Inspecting Data
3 Oct 04 ggplot2, Data Types
4 Oct 09 R Data Types, sapply(), Univariate EDA
5 Oct 11 Missing Data, Multivariate EDA
6 Oct 16 Multivariate EDA, Facets
7 Oct 18 Designing Graphics, Statistics Pitfalls
8 Oct 23 Airline Data EDA Example
9 Oct 25 Relational Data
10 Oct 30 ggmap
11 Nov 01 Strings, Shapefiles
12 Nov 06 Loading Text Files, Loops
13 Nov 08 Loops, String Processing
14 Nov 13 String Processing, Regular Expressions
15 Nov 15 Regular Expressions, Date Processing
16 Nov 20 No lecture (Camp Fire)
17 Nov 27 Debugging, Q&A Session
18 Nov 29 Statistical Learning
19 Dec 04 k-Nearest Neighbors
20 Dec 06 Cross Validation, Sampling

If you're an instructor and want more information, please send me an email!

Also see my teaching notes repository.

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