Inheritance and Data Structures in Java
Master Java inheritance, data structures, file handling, and debugging techniques for advanced programming.
Master Java inheritance, data structures, file handling, and debugging techniques for advanced programming.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Programming with Python and Java Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(80 ratings)
10,195 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Implement inheritance and polymorphism in Java
Master debugging techniques using Eclipse IDE
Handle file operations and exception management
Work with collections, maps, and regular expressions
Develop abstract classes and interfaces
Create robust Java applications
Skills you'll gain
This course includes:
5.1 Hours PreRecorded video
8 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers advanced Java programming concepts with a focus on inheritance and data structures. Students learn object-oriented programming through inheritance, abstract classes, and polymorphism. The curriculum includes practical skills in debugging using Eclipse, file I/O operations, exception handling, and working with collections and maps. Through hands-on assignments and quizzes, learners develop expertise in Java programming techniques and best practices.
Inheritance, Polymorphism Using Overriding, & Access Modifiers
Module 1 · 5 Hours to complete
Abstract Classes & Debugging
Module 2 · 4 Hours to complete
File I/O & Exceptions
Module 3 · 5 Hours to complete
Collections, Maps, & Regular Expressions
Module 4 · 5 Hours to complete
Fee Structure
Instructor
Innovator in Data Science and Analytics at Wharton
Brandon Krakowsky is a Lecturer at the School of Engineering and serves as the Director of Data Science and Research at the Wharton AI & Analytics Initiative. In this pivotal role, he oversees the development of innovative analytics solutions and cultivates partnerships with companies and organizations worldwide. Brandon leads a dedicated team responsible for designing, executing, and managing data-driven research and experiential learning projects, applying cutting-edge analytics methodologies to real-world challenges.
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4.7 course rating
80 ratings
Frequently asked questions
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