Data Science Foundations | UC Berkeley Data 8 Course

Explore the foundations of data science with the UC Berkeley Data 8 course, combining inferential thinking, computational thinking, and real-world relevance.

Introduction

The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design.

Highlights

• Combines inferential thinking, computational thinking, and real-world relevance
• Teaches critical concepts and skills in computer programming and statistical inference
• Hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks
• Explores social issues surrounding data analysis such as privacy and design

Recommendation

This course is recommended for students interested in data science, who want to develop a strong foundation in the key concepts and skills required for data analysis and problem-solving in a real-world context. The course's focus on practical applications and social implications of data analysis makes it a valuable choice for those seeking a well-rounded introduction to the field of data science.