Data Science & AI
advanced
Applied Analytics & AI Ethics
A comprehensive course covering Applied analytics. Topics include recommendation systems, time series forecasting, anomaly detection, AI ethics, fairness in ML, bias detection, explainable AI, and responsible AI. Designed for advanced level learners.
10 hours
4 modules
12 lessons
0 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Time Series Forecasting
3 lessons
Recommendation Systems
32 min
Time Series Forecasting
35 min
Applying Recommendation Systems
27 min
Understanding Anomaly Detection
3 lessons
Anomaly Detection
22 min
AI Ethics
32 min
Applying Anomaly Detection
33 min
Working with Fairness in ML
3 lessons
Fairness in ML
32 min
Bias Detection
21 min
Applying Fairness in ML
20 min
Advanced Explainable AI
3 lessons
Explainable AI
28 min
Responsible AI
34 min
Applying Explainable AI
28 min