DAT 3380: Introduction to Data Science (2024-2025)
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An introduction to data science using R. This course provides an overview of concepts, skills, and technologies used for working with large, complex, and messy datasets. Provides an introduction to the full data workflow, from data acquisition and cleaning to exploration, analysis, visualization, and communication of final results. Explores ethical and social considerations inherent in working with "big data," including privacy, design, reproducibility, and bias. Using real-world datasets, students will explore, visualize, and pose questions about data.
| Autumn |
404 |
5 |
Brian Gill
|
M,W,F
|
9:00AM-10:20 AM
|
09/30-12/05
|
Otto Miller Hall 119
|
0 of 24 seats open
1 waitlisted |
Add to calendar
Approval: Late Add Approval Required
Equivalent: MAT 3380
Crosslisted with: MAT 3380 CRN: 427
Attributes: Upper-Division
Grade Modes: (Default) Normal Grading
Instructional Methods: Traditional
Note: Full Term
Prerequisites:
MAT 2360: C- or better
OR PSY 2360: C- or better
OR SOC 2360: C- or better
OR CRIM 2360: C- or better
OR BUS 2700: C- or better
OR MAT 2200: C- or better
OR EGR 2200: C- or better
|
| Winter |
20320 |
5 |
Brian Gill
|
M,W,F
|
10:30AM-11:50 AM
|
01/06-03/07
|
Otto Miller Hall 119
|
20 of 20 seats open
|
Add to calendar
Equivalent: MAT 3380
Crosslisted with: MAT 3380 CRN: 20339
Attributes: Upper-Division
Grade Modes: (Default) Normal Grading
Instructional Methods: Traditional
Note: Full Term
Prerequisites:
MAT 2360: C- or better
OR PSY 2360: C- or better
OR SOC 2360: C- or better
OR CRIM 2360: C- or better
OR BUS 2700: C- or better
OR MAT 2200: C- or better
OR EGR 2200: C- or better
|