LinkedIn – Java: Data Structures 2021-11

LinkedIn – Java: Data Structures 2021-11 Downloadly IRSpace

LinkedIn – Java: Data Structures 2021-11
LinkedIn – Java: Data Structures 2021-11

Java: Data Structures is a course on how to store, access, and manipulate data efficiently using the powerful data structures provided by Java, published by LinkedIn Online Academy. This is a comprehensive course designed to teach people how to store, access, and manipulate data efficiently using the powerful data structures provided by Java. Designed for intermediate Java developers, this course bridges the gap between basic programming and algorithmic thinking by examining the most common data structures and their real-world applications. Through hands-on coding exercises and conceptual explanations, students will gain both the practical skills and theoretical knowledge needed to write high-performance Java programs.

In this course, instructor Bethann Palmer explains what data structures are in Java and what you can do with some of the most common types. After providing some definitions, Bethann provides what you should consider when choosing a data structure, such as varying levels of speed and performance. He shows you what arrays are and the advantages and disadvantages of using them, then walks you through how to create arrays and perform operations on them. Then, Bethan tackles Java collections, starting with the collection interface. Most data structures in Java implement the collection interface, so understanding what it is and how it works is key.

What you will learn in Java: Data Structures:

  • Java Data Structures
  •  Using Arrays
  •  Java Collections
  • and …

Course specifications

Publisher: LinkedIn
Instructors: Bethan Palmer
Language: English
Level: Intermediate
Number of Lessons:
Duration: 49m

Course topics

Java Data Structures Content

Java: Data Structures Prerequisites

2 quizzes
Access on tablet and phone

Pictures

Java Data Structures

Java: Data Structures introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Download link

Download – 122 MB

Size

122 MB