The interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
What you'll learn
- • Core concepts and foundational principles
- • Practical applications and problem solving
- • Advanced theoretical frameworks
Requirements
- • Basic understanding of prior level concepts
- • Commitment to consistent practice