Course Details

Data Exploration
DECS-461-0
Previously Known as DECS-922-0
1.0 CR
Elective
PASS / NO CREDIT
Yes (may vary by section)
DESCRIPTION
The ability to quickly and efficiently read, manipulate, and analyze large real-world datasets has become a basic business skill. In this course we use R to explore the basic elements of data management, exploration, and statistical analysis. Specific topics include data acquisition and cleaning; subsetting, filtering, summaries; long and wide formats; data normalization; multi-table operations; accessing SQL data; visualization; basic statistical analysis; the use of simulation in data analysis; machine learning; and reporting. We will emphasize the use of the R packages `dplyr` for data manipulation and `ggplot` for visualization. Classes will involve a blend of lecture and in-class problem solving. Grading will be based on individual homeworks and a final project, which can be done in a group. No previous experience with R is assumed. With assent of the instructor, students may use their own data sets for the final project.
TRACKS
Data Analytics Pathway
SCHEDULE SUMMARY
Winter 2023
Spring 2023
CH
EV
CH
EV

CH (Chicago)
EV (Evanston)
DayTime
Evening
Saturdays
Popup
PREREQUISITES
None