Class Restriction And Registration Summary

 

PSY 30109 - Section 01: R for Data Science (CRN 31886)


Course Description:
This class aims to equip students with basic knowledge of R in data manipulation, data generation, data visualization and data analysis with a focus on data science. The first part of the class will introduce the very basics of R including the types of data such as vectors, matrices, and data frames as well as tibbles for refined data frames and bigmatrix for big data. The second part of the class will introduce data manipulation and preprocessing methods such as data transformation, subsetting, and combination. The third part will deal with specific types of data such as strings, texts, dates and times, images, audios, and videos. The fourth part will teach ggplot2 and related packages for data visualization. The last part of the class will illustrate how to conduct data analysis using the above techniques through case studies such as basket analysis, network analysis, and log analysis. The class does not require previous knowledge of R

Associated Term: Spring Semester 2019
Campus: Main
Credits: 3
Grade Mode: Standard Letter
Course may not be repeated




Restrictions:
Must be enrolled in one of the following Levels:
Employee Non-Degree (EM) ,  Graduate Non-Degree (GD) ,  Holy Cross College (HC) ,  St. Mary's College (SM) ,  Undergraduate Non-Degree (UD) ,  Undergraduate (UG)
Must be enrolled in one of the following Campuses:
Main (M)

Registration Availability (Overflow: Off )
  Maximum Actual Remaining
TOTAL 8 7 1



Crosslist Information
Class Information Maximum Actual Remaining
PSY  60109 01, CRN 31885  (Primary) 11 8 3
PSY  30109 01, CRN 31886   8 7 1
Total 19 15 4