How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures.

How do you clean and prepare data to ensure quality and relevance? How do you handle missing or corrupted data in a dataset? What are the ethical implications of using machine learning?

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

But here’s the absolute simplest definition: An algorithm is a set of guidelines that describe how to perform a task. (Click here for a cheat sheet.) Come on. That’s it? Yup.