MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz, 2 ChGenre: eLearning | Language: English + .VTT | Duration: 2h 56m | Size: 5.7 GBSharpen your problem solving and data organization skills using Java data structures and algorithmsLearning about data structures and algorithms gives you better insight on how to solve common programming problems.

Most of the problems faced every day by programmers have been solved, tried, and tested.

By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.

This course teaches you tools that you can use to build efficient applications.

It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns.

You’ll also learn about data structures such as binary trees, hash tables, and graphs.

The course progresses to advanced concepts, such as algorithm design paradigms and graph theory.

By the end of the course, you will know how to correctly implement common algorithms and data structures within your applications.

What You Will LearnUnderstand some of the fundamental concepts behind key algorithmsExpress space and time complexities using Big O notation.

Correctly implement classic sorting algorithms such as merge and quicksortCorrectly implement basic and complex data structuresLearn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programmingApply powerful string matching techniques and optimize your application logicMaster graph representations and learn about different graph algorithms