About the Course
This course offers an in-depth exploration into leveraging data science principles within the framework of Web 3.0 and decentralized technologies. It covers fundamentals of data science, including data analysis, pattern recognition, and predictive modeling, while integrating these concepts with the decentralized internet's unique characteristics, such as blockchain and peer-to-peer networks. Through practical examples and hands-on-projects, students will learn how to build decentralized data-driven applications, ensuring privacy, security, and efficiency in data handling.
Your Instructor
Bryan Eldridge
With an accomplished career in education, instructional design, AI practitioner,
and leading emerging technology educator, Bryan brings a uniquely strong passion to the area
of applying cutting-edge technology to the art of delivering quality instruction. Bryan holds an
M.Ed. in Computer Based Education from the University of Georgia and a B.S. in Mathematics
from the University of Kentucky. He has dozens of publications spanning both the educational
and emerging technology fields, Bryan has designed, developed, implemented, and evaluated a myriad of successful high school courses, university degree programs and corporate professional certifications including end-to-end undergraduate degree programs in emerging technology; high school, undergraduate, graduate level (MBA) Blockchain degree and certificate programs, undergraduate cybersecurity programs, undergraduate programs in data science, standalone courses, and related CPD certifications; a master’s degree program in Precision Agriculture; and authored several national and international qualifications and standards for data science, AI/ML, blockchain, cybersecurity, and cryptography.