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Anirudh Balasubramanian

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.

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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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What's inside

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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Good introduction for beginners who want to explore applying data structures
Covers a range of fundamental data structures, including stacks, queues, and hashtables
Uses Java Collections versions of data structures, which aligns with industry practices
Instructor is experienced in the topic of data structures
Course is project-based, allowing students to apply concepts practically
Students are required to come in with some programming experience

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Reviews summary

Data structures for un data

Learners say this course is good for beginners who want to use their knowledge of data structures to manipulate UN data. They call the assignments engaging and appreciate the real-world applications. However, some students say the virtual system is slow and the instructor rushes through the material.
Course is geared toward beginners.
"The course is great for beginners"
"It is good for beginners to learn about data."
Assignments are engaging.
"The assignments are engaging"
"The virtual system is a bit slow but the assignments are engaging."
Learners appreciate the real-world use of course material.
"Great for beginners who want to use their knowledge of data structures in some real-world application and learn how the experts do it."
Overall quality is good.
"it's good to learn"
"it's a good course"
"The course is a good one."
Instructor rushes through the material.
"The instructer was rushing through the program"
"The instructor was not sure of what was being spoken about."
"The instructor will give a brushup without going into much detail."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Applying Data Structures to Manipulate Cleansed UN Data with these activities:
Review Array Data Structures
Refresh your knowledge of arrays that will be used extensively throughout the course.
Browse courses on Arrays
Show steps
  • Review built-in array functionality in Java
  • Practice creating arrays of different data types
  • Practice accessing and modifying elements in an array
Data Structures and Algorithms in Java
Supplement your learning with a comprehensive reference on data structures and algorithms.
Show steps
  • Review key concepts in data structures
  • Study algorithms for manipulating data structures
Java Data Structures Tutorial
Reinforce your understanding of Java data structures through interactive tutorials.
Browse courses on Data Structures
Show steps
  • Find a tutorial on a specific data structure
  • Follow the tutorial and complete the exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Implement Java Data Structures
Deepen your understanding of Java data structures by implementing them on your own.
Browse courses on Data Structures
Show steps
  • Implement an array data structure
  • Implement a stack data structure
  • Implement a queue data structure
LeetCode Data Structures Practice
Enhance your understanding of data structures and algorithms by solving coding challenges.
Browse courses on Data Structures
Show steps
  • Choose a LeetCode problem involving a data structure
  • Analyze the problem and design an algorithm
  • Implement the algorithm using Java
Java Data Structures Workshop
Attend a workshop to gain hands-on experience with Java data structures.
Browse courses on Data Structures
Show steps
  • Register for a workshop
  • Attend the workshop and participate in the exercises
UN Dataset Manipulation Project
Apply your knowledge of Java data structures to manipulate and analyze a real-world dataset.
Show steps
  • Download and clean the UN dataset
  • Implement data structures to store and organize the dataset
  • Develop algorithms to manipulate and analyze the dataset
  • Create visualizations to present the results of your analysis

Career center

Learners who complete Applying Data Structures to Manipulate Cleansed UN Data will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts leverage data structures for storing and organizing large datasets to perform analysis and derive insights. This course helps build a foundation in essential data structures, enabling you to effectively manage and manipulate data in your Data Analyst role.
Software Engineer
Software Engineers utilize data structures to design and develop efficient and scalable software applications. This course provides hands-on experience implementing data structures in Java, a widely used programming language in software development.
Data Scientist
Data Scientists employ data structures to organize and analyze vast amounts of data to uncover patterns and trends. This course helps build a strong foundation in data structures, enabling you to effectively handle and process data in your Data Scientist role.
Database Administrator
Database Administrators use data structures to design and manage databases, ensuring efficient storage and retrieval of data. This course provides insights into the implementation of data structures in database systems, enhancing your skills as a Database Administrator.
Business Analyst
Business Analysts may utilize data structures to organize and analyze business data, identify inefficiencies, and propose solutions. This course helps build a foundation in data structures, enabling you to effectively manage and manipulate data in your Business Analyst role.
Systems Analyst
Systems Analysts employ data structures to design and analyze complex systems, ensuring efficient data flow and storage. This course provides practical experience implementing data structures in real-world systems, enhancing your skills as a Systems Analyst.
Quantitative Analyst
Quantitative Analysts leverage data structures to model and analyze financial data, identify investment opportunities, and manage risk. This course provides a foundation in data structures, enabling you to effectively handle and process financial data in your Quantitative Analyst role.
Data Engineer
Data Engineers utilize data structures to design and build data pipelines, ensuring efficient data movement and transformation. This course provides hands-on experience implementing data structures in cloud computing platforms, enhancing your skills as a Data Engineer.
Information Security Analyst
Information Security Analysts may utilize data structures to organize and analyze security data, identify threats, and implement security measures. This course helps build a foundation in data structures, enabling you to effectively manage and manipulate security data in your Information Security Analyst role.
Statistician
Statisticians employ data structures to organize and analyze statistical data, draw inferences, and make predictions. This course provides insights into the implementation of data structures in statistical software, enhancing your skills as a Statistician.
Machine Learning Engineer
Machine Learning Engineers utilize data structures to design and build machine learning models, train algorithms, and handle large datasets. This course provides a foundation in data structures, enabling you to effectively manage and manipulate data in your Machine Learning Engineer role.
Financial Analyst
Financial Analysts may utilize data structures to organize and analyze financial data, prepare reports, and make investment recommendations. This course helps build a foundation in data structures, enabling you to effectively manage and manipulate financial data in your Financial Analyst role.
Actuary
Actuaries employ data structures to analyze and manage risk, develop insurance products, and make financial projections. This course provides insights into the implementation of data structures in actuarial software, enhancing your skills as an Actuary.
Software Tester
Software Testers may utilize data structures to design and execute test cases, identify software defects, and ensure software quality. This course helps build a foundation in data structures, enabling you to effectively manage and manipulate data in your Software Tester role.
Database Manager
Database Managers leverage data structures to design, implement, and manage databases, ensuring data integrity and performance. This course provides practical experience implementing data structures in database systems, enhancing your skills as a Database Manager.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Applying Data Structures to Manipulate Cleansed UN Data.
A comprehensive and detailed guide to Java programming, covering everything from the basics to advanced topics such as concurrency and networking. A classic in the Java community, it is often used as a textbook in academic institutions.
A comprehensive and up-to-date guide to algorithms, with a strong focus on Java implementations. Covers a wide range of algorithms, from sorting and searching to graph algorithms and dynamic programming.
A classic introduction to data structures and algorithms, with a focus on Java implementations. Covers the basics of data structures, including arrays, linked lists, stacks, queues, trees, and graphs.
A comprehensive guide to concurrency in Java, covering everything from the basics of thread synchronization to advanced topics such as lock-free programming.
A collection of 78 best practices for writing effective Java code. Covers a wide range of topics, from object-oriented design to performance optimization.
A comprehensive guide to the Java Collections Framework, covering both the basics and advanced topics such as performance optimization and concurrency.
A comprehensive guide to persistence in Java using Hibernate, a popular open-source object-relational mapping framework.
A beginner-friendly introduction to Java programming, with a focus on the basics of data structures and algorithms. Covers the basics of Java, including variables, data types, and control flow.
A practical guide to performance tuning Java applications, covering topics such as profiling, garbage collection, and concurrency.

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