Introduction to Java and Object-Oriented Programming
Master Java programming fundamentals and object-oriented concepts through comprehensive hands-on coding exercises and practical project implementation.
Master Java programming fundamentals and object-oriented concepts through comprehensive hands-on coding exercises and practical project implementation.
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.
4.4
(289 ratings)
35,067 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Create and implement custom Java classes and methods
Use Eclipse IDE for Java development
Apply object-oriented programming principles
Implement unit testing and test-driven development
Work with Java collections and data structures
Master Java syntax and programming fundamentals
Skills you'll gain
This course includes:
4.6 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course introduces students to Java programming and object-oriented concepts. Starting with Java syntax and basic programming constructs, the curriculum progresses through object-oriented principles, data structures, and testing methodologies. Students learn to use Eclipse IDE, write custom Java classes, implement unit testing, and work with arrays and ArrayLists. The course emphasizes hands-on coding practice with multiple programming assignments and quizzes to reinforce learning.
Introduction to Java, Classes, & Eclipse
Module 1 · 8 Hours to complete
Unit Testing, Arrays, & ArrayLists
Module 2 · 6 Hours to complete
Static Variables, Methods, & Polymorphism Using Overloading
Module 3 · 4 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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4.4 course rating
289 ratings
Frequently asked questions
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