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Basic Knowledge of Python is essential, such as provided by ST101 or a pre-sessional provided by the Digital Skills Lab. Course content. Introduction to the fundamental principles of data structures ...
Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...
"Become a coding god!" is not an achievable milestone. "Solve 5 array problems this week" is. Break down your big goals into ...
This online data science specialization will teach you the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is ideal for learners ...
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.
An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...
Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...
Generative AI isn't just for chatbots. Here are 10 ways AI and machine learning are transforming how we store, structure, and query data. For all the flash and charisma of generative AI, the ...
Programming, Data Structures and Algorithms. Candidates need to prepare themselves for programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables; ...
Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...
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