Understand the Theory of Datastructures

Measuring Efficiency with BigONotation

Data Structures

Complexity Equations

Random Access Data Structures

Sequential Access Data Structures

Array, ArrayList, Stack, Queue, LinkedList, Doubly-LinkedList, Dictionary, Tree, Tries, Heaps, Graphs

Hash Tables

Basics Understanding of Programming (Programming Language does not matter)

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

Complexity Equations

The Meaning of BigO

Types of 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 Teology 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 b 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.

New Developers with little knowledge about Computer Science

Anyone who wants to learn about Datastructures






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