Applying Data Structures to Manipulate Cleansed UN Data
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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.
Syllabus
- Project: Applying Data Structures to Manipulate Cleansed UN Data
- In this course, we will learn how to create an application to manipulate the UN dataset. We will learn how to use Arrays, ArrayLists, LinkedLists, Stacks, Queues, and Hashtables to store our data, and discover how to implement these structures using Java Collections.
Taught by
Anirudh Balasubramanian
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