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Data Science 202 (Iowa State University)

Lectures

January

01/19 Lecture 0

01/24 Lecture 1-1

01/24 Lecture 1-2

01/26 Lecture 1-3-R installation

01/26 Lecture 1-4-Rstudio Rmarkdown

01/26 Lecture 1-5

01/31 Lecture 1-6-Git

February

02/02 Lecture 2-1-R basics

02/02 Lecture 2-2-Practice for git

02/07 Lecture 2-3-GGplot 1

02/09 Lecture 2-4-GGplot 2

02/14 Lecture 2-5-Logical

02/14 Lecture 2-6-Factors

02/16 Lecture 2-7-Practice for GGplot

02/21 Lecture 2-8-Factor visualization

02/23 Lecture 2-9-Radar plot

02/23 Lecture 3-1-dplyr

02/28 Lecture 3-2-dplyr example 1

March

03/02 Lecture 3-3-dplyr example 2

03/02 Lecture 3-4-Practice for dplyr I

03/07 Lecture 3-5-dplyr example 3

03/07 Lecture 3-6-tidyr

03/09 Lecture 3-7-messy II

03/21 Lecture 3-8-messy III

03/28 Lecture 3-9-messy IV

03/30 Lecture 3-10-missing values

03/30 Lecture 3-11-Practice for dplyr II

April

04/04 Lecture 4-1-time

04/06 Lecture 4-2-time series

04/11 Lecture 4-3-layers

04/13 Lecture 4-4-maps

04/18 Lecture 4-5-Practice for time series data

04/20 Lecture 5-1-polishing

04/25 Lecture 6-1-web scraping I

04/27 Lecture 6-2-web scraping II

May

05/02 Lecture 7-1-image processing

Homeworks

01/26 Homework 1

02/02 Homework 2

02/09 Homework 3

02/16 Homework 4

02/23 Homework 5

03/02 Homework 6

03/09 Homework 7

03/28 Homework 8

04/07 Homework 9

04/14 Homework 10

Sample Exam

Solution

Exam

Solution

Final Project