CS-5664: Social Media Analytics
Description: Social media platforms, media feeds, and data formats; machine learning and graph theory foundations of social media analytics; Forms of social media analytics - text analytics, network analytics, and action analytics; Forecasting models and applications, including in marketing, event tracking, surveying, and A/B testing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 11
Average GPA: 3.62 (A-)
Strict A Rate (No A-) : 47.57%
Average Withdrawal Rate: 0.00%
| Patrick J Butler | 2024 | 69.1% | 28.5% | 1.9% | 0.0% | 0.5% | 0.0% | 3.62 | 6 |
| Narendran Ramakrishnan | 2021 | 73.6% | 21.8% | 3.0% | 0.6% | 1.0% | 0.0% | 3.61 | 5 |