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Applying Data Structures to Manipulate Cleansed UN Data

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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.

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"Applying Data Structures to Manipulate Cleansed UN Data" is an engaging, project-based course designed for intermediate learners in the IT and Computer Science field. Led by Coursera, this 1-hour course dives deep into the practical applications of essential data structures, including Arrays, Stacks, Queues, Hashtables, LinkedLists, and ArrayLists. Over 120 minutes, you'll explore optimal scenarios for utilizing these structures to efficiently handle and manipulate cleansed data from the United Nations. With a free subscription option, this course is perfect for those looking to enhance their data manipulation skills and apply them to real-world datasets. Ideal for IT professionals and computer science enthusiasts, it offers valuable insights into leveraging data structures for effective data management.