This course 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.
課程信息
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完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 3 門）
中級
data science professionals or domain experts, some experience working with data, completion of Data Mining Pipeline and Data Mining Methods
完成時間大約為38 小時
英語（English）
字幕：英語（English）
您將學到的內容有
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.
您將獲得的技能
- data mining project design and development
- data mining project formulation
- data mining project summary and presentation
- data mining project process analysis and improvement
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 3 門）
中級
data science professionals or domain experts, some experience working with data, completion of Data Mining Pipeline and Data Mining Methods
完成時間大約為38 小時
英語（English）
字幕：英語（English）
提供方
科罗拉多大学波德分校
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
立即開始攻讀碩士學位
此 課程 隸屬於 科罗拉多大学波德分校 提供的 100% 在線 Master of Science in Data Science。
如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
授課大綱 - 您將從這門課程中學到什麼
完成時間為 5 小時
Introduction to Data Mining Project
This module provides a general introduction of data mining project from the architect's perspective, focusing on the the initial brainstorming of project ideas.
完成時間為 5 小時
2 個視頻 （總計 91 分鐘）, 2 個閱讀材料
完成時間為 11 小時
Project Proposal
This module discusses in detail what should be included in the project proposal.
完成時間為 11 小時
2 個視頻 （總計 60 分鐘）
完成時間為 11 小時
Project Checkpoint
This module focuses on checking the status of the project, identifying the progress so far and any changes to the initial proposal.
完成時間為 11 小時
2 個視頻 （總計 50 分鐘）
完成時間為 11 小時
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.
完成時間為 11 小時
2 個視頻 （總計 51 分鐘）
關於 Data Mining Foundations and Practice 專項課程
The Data Mining specialization is intended for data science professionals and domain experts who want to learn the fundamental concepts and core techniques for discovering patterns in large-scale data sets. This specialization consists of three courses: (1) Data Mining Pipeline, which introduces the key steps of data understanding, data preprocessing, data warehouse, data modeling and interpretation/evaluation; (2) Data Mining Methods, which covers core techniques for frequent pattern analysis, classification, clustering, and outlier detection; and (3) Data Mining Project, which offers guidance and hands-on experience of designing and implementing a real-world data mining project.
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