Object Oriented Java Programming: Data Structures and Beyond Specialization Course

Object Oriented Java Programming: Data Structures and Beyond Specialization Course Course

An in-depth specialization offering practical insights into object-oriented programming and data structures, suitable for professionals aiming to enhance their software development skills.

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Object Oriented Java Programming: Data Structures and Beyond Specialization Course on Coursera — An in-depth specialization offering practical insights into object-oriented programming and data structures, suitable for professionals aiming to enhance their software development skills.

Pros

  • Taught by experienced instructors from the University of California, San Diego.
  • Hands-on projects reinforce learning.
  • Flexible schedule suitable for working professionals.
  • Provides a shareable certificate upon completion.

Cons

  • Requires prior programming experience in Java.
  • Some advanced topics may be challenging without a strong mathematical background.

Object Oriented Java Programming: Data Structures and Beyond Specialization Course Course

Platform: Coursera

Instructor: University of California San Diego

What will you learn in this Object Oriented Java Programming: Data Structures and Beyond Specialization Course

  • Master object-oriented programming (OOP) principles in Java, including encapsulation, inheritance, and polymorphism.

  • Implement and analyze data structures such as linked lists, trees, hash tables, and graphs.

  • Apply algorithmic techniques and Big-O analysis for performance optimization.

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  • Develop real-world applications, including GUI-based programs and network analysis tools.

  • Prepare for software engineering interviews with coding challenges and mock interviews.

Program Overview

1. Object Oriented Programming in Java
⏳  39 hours
Learn the fundamentals of OOP in Java, including classes, interfaces, and polymorphism, while building interactive graphical applications.

2. Data Structures and Performance
⏳  41 hours
Explore data structures like linked lists, trees, and hash tables, and analyze their performance using Big-O notation.

3. Advanced Data Structures in Java
⏳  28 hours
Delve into complex data structures such as graphs, and implement algorithms for real-world applications like route planning.

4. Mastering the Software Engineering Interview
⏳  20 hours
Prepare for technical interviews with coding challenges, problem-solving techniques, and mock interviews guided by industry professionals.

5. Capstone: Analyzing (Social) Network Data
⏳  17 hours
Apply your skills to analyze real-world social network data, identifying influential members and community structures.

 

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Job Outlook

  • Equips learners for roles such as Software Engineer, Java Developer, and Backend Developer.

  • Applicable in industries like technology, finance, healthcare, and e-commerce.

  • Enhances employability by providing practical skills in Java programming and data structure implementation.

  • Supports career advancement in fields requiring expertise in object-oriented design and algorithmic problem-solving.

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