Data Mining Project

University of Colorado Boulder via Coursera

Coursera based on 20 ratings

Likes

Overview

The “Data Mining Project” course provides hands-on experience in applying data mining techniques to real-world datasets through a structured project approach. Designed for data science students and professionals, this course guides participants through the entire data mining lifecycle—from problem definition and data collection to analysis and reporting. Learners will apply core data mining methods such as classification, clustering, association rule mining, and anomaly detection to solve practical problems. The course emphasizes data preprocessing, feature engineering, and model evaluation to ensure...

Syllabus

Data Mining Project

This week provides you with a general introduction of the Data Mining Project course from the architect's perspective, focusing on the the initial brainstorming of project ideas which will prepare you for the rest of the course.

Project Proposal

This week discusses in detail what should be included in your project proposal and ends with an opportunity to craft your own.

Project Checkpoint

This week focuses in on checking the status of your project. After reviewing your project, you will take some time to incorporate the progress you've made with updates to your initial proposal.

Final Project Report

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