| STAT 400 P - Data Science | |
|---|---|
| Full title: | Data Science |
| CRN: | 11488 |
| Course description: | Course focuses on using Python, R and other tools to build exploratory and predictive statistical analyses and models that can be applied to large unstructured and structured data sets. Topics include data mungling/scraping/sampling/cleansing, data storage and management, visualization and effective communication of results. Prerequisites: CS 120, STAT 313. (Even F) |
| Instructor: | Weizhong Tian (Weizhong.Tian@enmu.edu) |
| Seating | |||||
|---|---|---|---|---|---|
| Current | Waitlist | ||||
| Max | Curr | Avail | Max | Curr | Avail |
| 35 | 3 | 32 | 35 | 0 | 35 |
| Grading | |
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| Grade mode: | Normal (A,B,C,D,F,I,W) |
| Course dates | |
|---|---|
| Starts: | August 18, 2020 |
| End: | December 11, 2020 |
| Weeks: | 16 |
| Census date: | September 4, 2020 |
| Registration dates: | March 29, 2020 - August 25, 2020 |
| Last day to drop: | August 25, 2020 |
| Last day to withdraw: | November 6, 2020 |
| Meeting dates and times | ||||||||
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| Days | Time | Location | ||||||
| Web | ||||||||
| Course Pre-requisites | |||||
|---|---|---|---|---|---|
| ( | Test | Test score | Course | ) | Connector |
| ( | CS 120 P | and | |||
| STAT 313 P | ) | ||||