Data Structures and Algorithms: Deep Dive Using Java (Udemy)

This Java data structures and algorithms course by Tim Buchalka and his team is one of the best on Udemy. It focuses on the implementations of data structures and algorithms rather than merely theory to provide learners a thorough knowledge of how things function. What distinguishes this course is that it devotes significantly more time to exploring what is accessible in the JDK, allowing students to better grasp how things work behind the hood and apply this knowledge to their own future programming projects. The following subjects are covered in the course:

  • Big O notation
  • Arrays
  • Linked Lists
  • Binary trees, balanced trees like AVL trees and Red-black trees
  • Stacks
  • Queues
  • Hashtables
  • Heaps including heapsort algorithm
  • Associative arrays
  • Dictionaries
  • Graph algorithms
  • Sort algorithms
  • Search algorithms

This course is perfect for students who have some Java programming experience and want to learn more about data structures and algorithms. Even experienced developers will benefit from this training. Those looking for their first or next better programming job, or who want to work as a freelance software developer, would also profit greatly from this training.


Key Highlights

  • Highly rated and most subscribed Udemy course in data structures and algorithms using Java programming language
  • Get a complete and concrete understanding of most popular and well used data structures and be able to confidently use them in your day to day java programming
  • Learn what’s available in the JDK for storing and sorting data
  • Code an implementation of each data structure
  • Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
  • Complete source code is included and is available for download

Duration : 16 hours on-demand video

Google Rating : 4.5/5.0

Enroll here: udemy.com/course/data-structures-and-algorithms-deep-dive-using-java/

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