ST 597: Introduction to Data Analytics with R

Spring 2017



Schedule


Class Date Day Topic Reading (R4DS) Notes
1 Jan 11 Wed Intro
Jan 16 Mon No Class: MLK Jr Day
2 Jan 18 Wed R and RStudio 1; 2; 6 HW 1 Due;
salary.csv
3 Jan 23 Mon Data Visualization 3.1-3.6 HW 2 Due
4 Jan 25 Wed Data Visualization con't 3.7-3.10; 4
5 Jan 30 Mon Data Transformation I 5.1-5.5 HW 3 Due;
Logical and Relational Operators
6 Feb 01 Wed Data Transformation II: aggregate 5.6-5.7; 8 aggregate lab
7 Feb 06 Mon Data Visualization part 2 7 HW 4 Due;
dataviz2 lab
8 Feb 08 Wed Data Visualization part 2, con't
9 Feb 13 Mon Special Guest: Joshua Jones from Strategywise Review 1-8 HW 5 Due
10 Feb 15 Wed Data Explore Challenge 10; 20.1-20.4 data-explore.R
11 Feb 20 Mon R Basics I 20.5-20.7; 15 HW 6 Due
12 Feb 22 Wed R Basics II
13 Feb 27 Mon Relational Data 13 HW 7 Due; relational lab
14 Mar 01 Wed Relational Data, con't 19; 21.1-21.4
15 Mar 06 Mon Exam Review HW 8 Due midterm 2106.R
16 Mar 08 Wed Midterm Exam
Mar 13 Mon No Class: Spring Break
Mar 15 Wed No Class: Spring Break
17 Mar 20 Mon Data Import 11.1-11.3
18 Mar 22 Wed Data Import, con't 11.4-11.6
19 Mar 27 Mon Tidy Data 12 HW 9 Due
Tidy Data Paper; tidy lab
20 Mar 29 Wed Spatial Data
21 Apr 03 Mon Spatial Data, con't HW 10 Due
22 Apr 05 Wed Strings 14 No class: University closed for storms
23 Apr 10 Mon HTML Data rvest package HW 11 Due
24 Apr 12 Wed Linear Regression Text Mining I 23
25 Apr 17 Mon HTML Data Text Mining II rvest package HW 12 Due
26 Apr 19 Wed Text Mining Network Data
27 Apr 24 Mon Project Presentations HW 13 Due
project description
28 Apr 26 Wed Project Presentations Peer Assessment form