Online Course – Google Certified Professional Internship in Data Mining Fundamentals and Practice, University of Colorado Boulder

Data mining specialization

The Data Mining specialization is designed for data science professionals and experts in the field who are interested in learning the basic concepts and key techniques for discovering patterns in large data sets.

Specialization courses

• Data Mining Pipeline: Presents the key steps in data understanding, data processing, data warehousing, data modeling, and interpretation/evaluation.
• Data Mining Methods: Covers key techniques for analyzing frequent patterns, classification, clustering, and identifying anomalies.
• Data Mining Project: Provides guidance and practical experience in planning and executing a real-world data mining project.

Master’s Degree in Data Science

Data Mining can be taken as an academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from departments of applied mathematics, computer science, information science, and more.

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.

For more details about the MS-DS program, visit www.coursera.org/degrees/master-of-science-data-science-boulder .

Logo image

The internship logo image is courtesy of Diego Gonzaga, available here on Unsplash .

Hands-on Learning Project

There are programming assignments that cover specific aspects of data mining pipelines and methodologies. In addition, the Data Mining Project course provides step-by-step guidance and hands-on experience in formulating, planning, executing, and reporting on a real data mining project.