What you'll learn:
Measuring Efficiency with BigONotation
Data Structures
Time Complexity Equations
Random Access Data Structures
Sequential Access Data Structures
Array, ArrayList, Stack, Queue, LinkedList, Doubly-LinkedList, Dictionary, Tree, Tries, Heaps, Graphs
Hash Tables
Requirements
Basics Understanding of Programming (Programming Language does not matter)
Description
Learn all about Data Structures in this lecture-style course. You will learn what Data Structures are, how we measure a Data Structures efficiency, and then hop into talking about 12 of the most common Data Structures which will come up throughout your Computer Science journey.
What you will learn:
Measuring Efficiency with BigO Notation
Time Complexity Equations
The Meaning of BigO
Types of Time Complexity Equations
Parallel Arrays
Populate First/Late Arrays
Numerical Indexes
2-Dimensional Arrays
ArrayList as a Datastructure
Comparing and Contrasting with Arrays
Different Types of Data Structure
Random/Sequential Access Data Strucutres
Hash Table
Trees
Hierarchical Data
Tree Terminology and Visualization
Different Types of Trees
Tries
Heaps
Graphs
and much more!
This course is an indirect continuation to the Computer Science: Understand the Theory Behind Programming Course.
A basic knowledge of computer science and programming is needed, but which programming language does not matter.
So if you want to begin setting yourself apart from the average programmers, this is the course for you!
Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures.
Who this course is for
New Developers with little knowledge about Computer Science
Anyone who wants to learn about Datastructures
Homepage

https://www.udemy.com/course/data-structures-computer-science-course-for-beginners/

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