Data Mining Project (Coursera)

The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.

Course 3 of 3 in the Data Mining Foundations and Practice Specialization.
What You Will Learn

- Identify the key components of and propose a real-world data mining project.

- Design and develop real-world solutions across the full data mining pipeline.

- Summarize and present the key findings of the data mining project.

- Analyze the overall project process and identify possible improvements.

Syllabus

WEEK 1

Introduction to Data Mining Project

This module provides a general introduction of data mining project from the architect's perspective, focusing on the initial brainstorming of project ideas.

WEEK 2

Project Proposal

This module discusses in detail what should be included in the project proposal.

WEEK 3

Project Checkpoint

This module focuses on checking the status of the project, identifying the progress so far and any changes to the initial proposal.

WEEK 4

Project Final Report

This module discusses in detail the final project report, highlighting the importance of summarizing the key findings and analyzing the overall project process.