Applying Data Structures to Manipulate Cleansed UN Data

4.4
estrellas
21 calificaciones
3 revisiones
ofrecido por
Rhyme
En este Guided Project, tú:

Discover optimal situations to use Arrays, Stacks, Queues, Hashtables, LinkedLists, and ArrayLists

Explore how to implement each data structure using industry-standard Java practices

Gain experience manipulating real life datasets

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 1-hour long project-based course, you will discover optimal situations to use fundamental data structures such as Arrays, Stacks, Queues, Hashtables, LinkedLists, and ArrayLists. By the end of this project you will create an application that processes an UN dataset, and manipulates this dataset using a variety of different data structures. In addition, you will explore how to implement each data structure using industry-standard Java practices, and gain experience manipulating real life data sets. Data structures are an essential tool for any developer, and allow us to store and efficiently access data for even large datasets. Mastery of data structures allows your programs to be scalable and function without taking up too many system resources. We will use the Java Collections versions of each of these data structures, just as you would in real-life. Students can expect to walk away from the course confident in their ability to manipulate essential Java data structures, and have a working knowledge theory behind each data structure. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

Data ManipulationJavaData StructureComputer ProgrammingComputer Science

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Introduction to the Course

  2. Arrays

  3. ArrayLists

  4. LinkedLists

  5. Stacks

  6. Queues

  7. Hashtables

  8. Miscellaneous Collections Methods and Application Demo

How Guided Projects work

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Instructor

Preguntas Frecuentes

Preguntas Frecuentes

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