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.
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.
Specification: Object Oriented Java Programming: Data Structures and Beyond Specialization
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FAQs
- Basic Java knowledge is highly recommended.
- Understanding of variables, loops, and functions helps.
- Absolute beginners may struggle with advanced data structures.
- Prior exposure to object-oriented concepts makes learning smoother.
- Hands-on practice throughout the course reinforces programming skills.
- Includes coding challenges and mock interviews.
- Covers algorithmic problem-solving and Big-O analysis.
- Provides projects that can be showcased in a portfolio.
- Teaches object-oriented design principles valued by employers.
- Prepares for roles like Software Engineer, Java Developer, and Backend Developer.
- Covers linked lists, trees, hash tables, and graphs.
- Teaches algorithmic techniques for performance optimization.
- Includes projects like GUI applications and network analysis tools.
- Skills are transferable to enterprise-level Java applications.
- Prepares learners for coding in production environments.
- Self-paced with lifetime access allows flexible learning.
- Each module ranges from 17–41 hours, manageable in short sessions.
- Exercises and projects can be completed incrementally.
- Ideal for balancing full-time work with skill development.
- Hands-on projects provide practical experience without full-time enrollment.
- Covers Big-O notation and algorithmic performance evaluation.
- Includes advanced topics in graph algorithms and network analysis.
- Teaches problem-solving techniques used in technical interviews.
- Encourages designing efficient, maintainable Java programs.
- Prepares learners for competitive programming and professional coding challenges.
