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Object Oriented Java Programming

Data Structures and Beyond

Jonah Berger, Christine Alvarado, Mia Minnes, and Leo Porter

This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.

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What's inside

Five courses

Object Oriented Programming in Java

(0 hours)

Welcome to our Object Oriented Programming in Java course! This intermediate course is designed for learners with previous software development experience. By the end, you'll be able to create advanced Java programs and understand the fundamentals of OOP, leveraging libraries, building GUIs, and using algorithms for data manipulation.

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Data Structures and Performance

(0 hours)

How do Java programs manage vast data quantities? Data structures and algorithms that work with small examples break when applications process large data sets. Efficiency is critical, and this course will teach you how to achieve it.

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Advanced Data Structures in Java

(0 hours)

How does Google Maps plan the best route given current traffic? How does an internet router forward packets to minimize delay? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data. You will develop, implement, and analyze algorithms for working with this data to solve real world problems.

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Mastering the Software Engineering Interview

(0 hours)

You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. Practice!

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Capstone: Analyzing (Social) Network Data

(0 hours)

In this capstone project, we'll combine skills from all four specialization courses to analyze social networks. Opportunities for learning are practically endless. Who are the influential members? What are the sub-communities? Who is connected to whom? These are just some of the questions you can explore in this project.

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Time

91 hours

Level

Intermediate

Via

Coursera

Institution

University of California San Diego

Instructors

Jonah Berger

Christine Alvarado

Mia Minnes

Leo Porter

Level

Intermediate

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