Programming Foundations: Data Structures

Go to class
Write Review

Free Online Course: Programming Foundations: Data Structures provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Programming Foundations: Data Structures is taught by Kathryn Hodge.

Overview
  • 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