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LinkedIn Learning

Programming Foundations: Data Structures

via LinkedIn Learning

Overview

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Learn about programming with data structures. Discover how to store, organize, and access data using data structures such as arrays, linked lists, stacks, queues, and hash tables.

Syllabus

Introduction
  • Understand data structures
  • What you should know
1. Introduction to Data Structures
  • Introduction to data and data types
  • Numerical data types
  • Booleans and characters
  • Primitive types in memory
  • Introduction to data structures
  • Strings
  • Primitive vs. reference types in memory
2. Arrays
  • What are arrays?
  • Use arrays in Swift
  • Multidimensional arrays
  • Multidimensional arrays in JavaScript
  • Jagged arrays
  • Jagged arrays in C#
  • Resizable arrays and language support
  • Search arrays
  • Sort arrays
  • Big O notation
3. Lists
  • What are linked lists?
  • Operations on linked lists
  • Build a linked list in Java
  • Use linked lists in Java
  • Singly vs. doubly linked lists
  • Lists in other languages
  • Pros and cons of lists
4. Stacks and Queues
  • What are stacks?
  • Implement stacks in Swift
  • Use stacks in Swift for LIFO
  • Error tracing with stacks
  • What are queues?
  • Implement queues in Swift
  • Use queues in Swift for FIFO
  • Queues in other languages
  • Specialized queues
  • Pros and cons of stacks and queues
5. Hash-Based Data Structures
  • What are associative arrays?
  • Understanding hash functions
  • Understanding hash tables
  • Using dictionaries in Python
  • Language support for hashing
  • Language support for hash tables
  • Pros and cons of hash-based structures
6. Trees and Graphs
  • What are sets?
  • Sets in Python 3
  • Introduction to tree data structures
  • Understand binary search trees
  • Understand heaps
  • Pros and cons of tree data structures
Conclusion
  • Wrap-up

Taught by

Kathryn Hodge

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