Data Mining Project

This course is part of Data Mining Foundations and Practice Specialization

Instructor: Qin (Christine) Lv

What you'll 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. 

    • Skills you'll gain

  •   Data Analysis
  •   Ideation
  •   Big Data
  •   Analytical Skills
  •   Technical Writing
  •   Exploratory Data Analysis
  •   Data Mining
  •   Data Presentation
  •   Data Processing
  •   Technical Communication
  •   Data Pipelines

    • There are 4 modules in this course

    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-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Mariana Proença, available here on Unsplash: https://unsplash.com/photos/_WgnXndHmQ4

    Project Proposal

    Project Checkpoint

    Final Project Report

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