Foundations of Data Science

Dive into the core principles and techniques of data science with this comprehensive course by renowned experts. Gain a strong foundation in algorithms, machine learning, and more.

Introduction

Foundations of Data Science by Avrim Blum, John Hopcroft, and Ravindran Kannan provides a comprehensive introduction to data science, covering foundational concepts, algorithms, and techniques.

Highlights

• Covers foundational concepts, algorithms, and techniques in data science
• Authored by renowned experts in the field of computer science and data science
• Includes topics such as high-dimensional space, singular value decomposition, random walks and Markov chains, and machine learning

Recommendation

This course is recommended for anyone interested in gaining a strong foundation in data science, including students, researchers, and professionals in fields such as computer science, statistics, and analytics. The course provides a solid grounding in the core principles and techniques of data science, making it a valuable resource for both beginners and experienced practitioners.