- Specialization: Data Mining Foundations and Practice
- Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science
- Prior knowledge needed: Concepts of probability, basic algorithms and data structures, and implementation of algorithms in Python
This module provides a general introduction of data mining project from the architect's perspective, focusing on the the initial brainstorming of project ideas.
This module discusses in detail what should be included in the project proposal.
This module focuses on checking the status of the project, identifying the progress so far and any changes to the initial proposal.
This module discusses in detail the final project report, highlighting the importance of summarizing the key findings and analyzing the overall project process.
This module contains materials for the final assessment for MS-DS degree students. If you've upgraded to the for-credit version of this course, please make sure you review the additional for-credit materials in the Introductory module and anywhere else they may be found.
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