Technology & Programming
advanced
Data Science Capstone Project
A comprehensive course covering Data science capstone. Topics include end-to-end project methodology, problem framing, data collection, feature engineering, model building, evaluation, presentation, and portfolio development. Designed for advanced level learners.
10 hours
4 modules
12 lessons
1 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of End-to-end Project Methodology
3 lessons
End-to-end Project Methodology
24 min
Problem Framing
29 min
Applying End-to-end Project Methodology
31 min
Understanding Feature Engineering
3 lessons
Data Collection
29 min
Feature Engineering
28 min
Applying Data Collection
32 min
Working with Model Building
3 lessons
Model Building
24 min
Evaluation
20 min
Applying Model Building
34 min
Advanced Portfolio Development
3 lessons
Presentation
29 min
Portfolio Development
31 min
Applying Presentation
30 min