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 Laboratorios prácticos — nothing to install
  • 37 Lecciones interactivas y 284 topics mapped to the official exam objectives
  • 725 Preguntas del examen de práctica

Intermediate A tu propio ritmo · 1 año de acceso 4.4/5 (330 Revisar)

74 LiveLabs prácticos

Practice real IT tasks in guided environments.

  • Entornos reales
  • Calificación automática
  • Sin instalación
37Lecciones interactivas
284Topics
74Laboratorio en vivo
725Preguntas del examen de práctica
523Tarjetas didácticas
523Glosario de términos

01 / Habilidades que obtendrás

What you will be able to do

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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 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
  • 74 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
  • 725 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
  • 1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos

02 / Lecciones y laboratorios

See exactly what you will learn and practice

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Plan de estudios

37 Lecciones interactivas · 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 Laboratorio en vivo
  • 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 Laboratorio en vivo in this lesson — see the labs panel →

04 Bag Implementations That Use Arrays 8 topics · 1 Laboratorio en vivo
  • 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 Laboratorio en vivo in this lesson — see the labs panel →

05 A Bag Implementation That Links Data 9 topics · 3 Laboratorio en vivo
  • 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 Laboratorio en vivo in this lesson — see the labs panel →

Laboratorios prácticos Our edge

74 Laboratorio en vivos
  • 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
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.

03 / Preguntas frecuentes

Preguntas antes de empezar

Contáctanos ↗
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 año de acceso completo
  • 74 LiveLab incluido
  • Certificado de finalización
Comprar ahora — $279.99 Try Free

No se requiere tarjeta de crédito

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