DS-JAVA.AP1

Data Structures and Abstractions with Java

Learn the essential data structures and algorithms in Java to improve your programming efficiency and problem-solving skills.

  • Practice in 74 Hands-On Labs — nothing to install
  • 37 Interactive Lessons and 284 topics mapped to the official exam objectives
  • 725 Practice Test Questions

Intermediate Self-paced · 1 year access 4.4/5 (330 Reviews)

74 Hands-On LiveLabs

Practice real IT tasks in guided environments.

  • Real environments
  • Auto-graded
  • No installation
37Interactive Lessons
284Topics
74LiveLab
725Practice Test Questions
523Flashcards
523Glossary of terms

01 / Skills you'll get

What you will be able to do

Our training course offers an in-depth exploration of essential data structures and their applications in Java programming. Starting with the foundation concepts such as encapsulation and Java interfaces, the course discusses various data structures, including bags, stacks, queues, lists, and trees, and their implementations. Key topics of our data structure course include algorithm efficiency, recursion, sorting, and hashing. By the end of the course, you’ll be able to organize and manipulate data efficiently, improving your programming and decision-making skills.
  • Implement data structures using arrays and linked lists.
  • Monitor and optimize algorithm effectiveness and efficiency using Big Oh notation.
  • Develop skills in recursion and solving problems using recursive methods.
  • Utilize various sorting algorithms, including selection, insertion, merge, and quick sort.
  • Gain expertise in hashing techniques and implementing dictionaries.
  • Experiment with use cases of balanced search trees like AVL trees and red-black trees.
  • Implement different Java data structures.
  • Familiarity with Java-specific concepts like interfaces, generics, and exceptions.
  • Get practical experience in designing and reusing classes, and using Java's class library.

Course Highlights

  • 37 Structured Lessons Comprehensive coverage of core course objectives
  • 74 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
  • 725 Practice Questions Assessment tests with detailed answer rationales
  • 1 Year Full Access Self-paced learning accessible anytime on all devices

02 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

37 Interactive Lessons · 284 topics
01 Introduction  1 topics
  • Organizing Data
02 Prelude: Designing Classes 7 topics
  • Encapsulation
  • Specifying Methods
  • Java Interfaces
  • Choosing Classes
  • Reusing Classes
  • Exercises
  • Projects
03 Bags 11 topics · 4 LiveLab
  • The Bag
  • Specifying a Bag
  • Using the ADT Bag
  • Using an ADT Is Like Using a Vending Machine
  • The ADT Set
  • Java Class Library: The Interface Set
  • Java Interlude 1: Generics
  • Lesson Summary
  • Programming Tip
  • Exercises
  • Projects

4 LiveLab in this lesson — see the labs panel →

04 Bag Implementations That Use Arrays 8 topics · 1 LiveLab
  • Using a Fixed-Size Array to Implement the ADT Bag
  • Using Array Resizing to Implement the ADT Bag
  • The Pros and Cons of Using an Array to Implement the ADT Bag
  • Java Interlude 2 Exceptions
  • Lesson Summary
  • Programming Tips
  • Exercises
  • Projects

1 LiveLab in this lesson — see the labs panel →

05 A Bag Implementation That Links Data 9 topics · 3 LiveLab
  • Linked Data
  • A Linked Implementation of the ADT Bag
  • Removing an Item from a Linked Chain
  • A Class Node That Has Set and Get Methods
  • The Pros and Cons of Using a Chain to Implement the ADT Bag
  • Lesson Summary
  • Programming Tip
  • Exercises
  • Projects

3 LiveLab in this lesson — see the labs panel →

Hands-On Labs Our edge

74 LiveLabs
  • Counting the Occurrence of Each Item in a Bag
  • Performing Matrix Multiplication
  • Transposing a Matrix
  • Finding the Intersection of Two Arrays
  • Handling an Exception
  • Counting the Entries in a Bag
Labs run in your browser — nothing to install.

03 / FAQs

Questions before you start

Contact us ↗
What is data structures and abstraction (DSA)? 
Data structures and abstractions (DSA) involve organizing and managing data efficiently and using abstraction to simplify complex data manipulation. 
What is an abstraction in Java?
Abstraction in Java is the concept of hiding the implementation details and showing only the essential features of an object, typically achieved through interfaces and abstract classes.
Is DSA important for Java developers?
Yes, DSA is important for Java developers as it assists in writing efficient code, optimizing performance, and solving complex problems.
Can I learn DSA in 1 month? 
It is possible to learn the basics of DSA in 1 month with consistent study and practice, but mastering it may take longer. What you can do is accelerate your learning time with our data structures in Java course, packed with engaging labs and gamified test preps.
How can I start DSA as a beginner? 
Beginners can start with a structured course like ours on DSA to practice coding problems and implement data structures & algorithms.

Build Strong Data Abstractions and Structures     

Enroll in our data structures and abstractions with Java course today to learn all about data manipulation and algorithms.

  • 1 year of full access
  • 74 LiveLab included
  • Certificate of completion
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