Data Mining Project

University of Colorado Boulder via Coursera

Go to Course: https://www.coursera.org/learn/data-mining-theory-practice-project

Introduction

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

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.

Overview

Data Mining Project offers step-by-step guidance and hands-on experience of designing and implementing a real-world data mining project, including problem formulation, literature survey, proposed work, evaluation, discussion and future work. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-yo

Skills

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