Statistical Aspects of Data Mining | Google Data Mining Course

Comprehensive data mining course covering regression, classification, and clustering techniques. Hands-on exercises and real-world datasets. Taught by experienced Google instructors.

Introduction

This course covers the statistical aspects of data mining, including topics such as regression, classification, and clustering. It is designed for students interested in the theoretical and practical aspects of data mining.

Highlights

• Covers a wide range of data mining techniques and their statistical foundations
• Includes hands-on exercises and projects using real-world datasets
• Taught by experienced instructors from Google

Recommendation

This course is recommended for students with a strong background in statistics and an interest in the practical applications of data mining. It is particularly useful for those pursuing careers in data science, analytics, or machine learning.