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.

Enroll now and begin your journey towards the most lucrative, adventurous and exciting career path you can imagine! Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

100% MONEY-BACK GUARANTEE

This course comes with a 30-day full money-back guarantee. Take the course, go through the lectures, do the exercises, and if you're not happy, ask for a refund within 30 days. All your money back, no questions asked.