What will you learn in Data Structures and Algorithms using Java Internship Program
Strengthen your understanding of core Java programming
Master data structures like arrays, stacks, queues, trees, and graphs
Solve real-world problems using efficient algorithms
Learn problem-solving techniques for coding interviews and competitions
Build project experience through internship-level assignments
Program Overview
Module 1: Java Programming Fundamentals
⏳ 1 week
Topics: Java syntax, control flow, OOP principles, exception handling
Hands-on: Write Java programs using classes, objects, loops, and methods
Module 2: Arrays and Strings
⏳ 1 week
Topics: Static and dynamic arrays, 2D arrays, string manipulation
Hands-on: Solve array-based problems like rotation, merging, and duplicates
Module 3: Linked Lists
⏳ 1 week
Topics: Singly and doubly linked lists, insertion, deletion, reversal
Hands-on: Implement custom linked list classes and solve reversal problems
Module 4: Stacks and Queues
⏳ 1 week
Topics: Stack operations, queue types, circular queues
Hands-on: Build stack/queue from scratch and solve parenthesis and sliding window problems
Module 5: Trees and Recursion
⏳ 2 weeks
Topics: Binary trees, BSTs, tree traversal, recursion strategies
Hands-on: Build and traverse trees, apply recursion for solving tree problems
Module 6: Graphs and Greedy Algorithms
⏳ 2 weeks
Topics: Graph representation, BFS, DFS, greedy techniques
Hands-on: Apply graph traversal to shortest path and greedy optimization
Module 7: Dynamic Programming and Backtracking
⏳ 2 weeks
Topics: Memoization, tabulation, subsets, knapsack problems
Hands-on: Solve classic DP problems like LIS, LCS, and coin change
Module 8: Internship Project & Evaluation
⏳ 1 week
Topics: Build a real-world algorithmic solution
Hands-on: Work on a mini-project assessed by mentors
Get certificate
Job Outlook
Mastering DSA is key for Java developers, software engineers, and tech interviews
High demand in top tech companies, product-based firms, and startups
Salaries range from $80,000 to $150,000+ depending on role and skills
Useful for both job seekers and competitive coders
Explore More Learning Paths
Strengthen your algorithmic thinking and deepen your expertise in data structures with these advanced learning programs designed to accelerate your journey toward mastering problem-solving and technical interview skills.
Related Courses
Data Structures and Algorithms Specialization Course – Build a strong foundation in algorithms and data structures through hands-on coding, complexity analysis, and real-world applications.
Data Structures Course – Learn core data structures such as stacks, queues, trees, graphs, and hash tables with practical coding exercises.
Algorithms on Strings Course – Dive deep into pattern matching, text processing, and advanced string algorithms essential for competitive programming and interviews.
Related Reading
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Specification: Data Structures and Algorithms using Java Internship Program Course
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FAQs
- Basic understanding of Java syntax, variables, loops, and OOP is recommended.
- Advanced topics like multithreading or design patterns are not required.
- The course builds from fundamentals to complex data structures gradually.
- Hands-on exercises guide learners step-by-step in implementing algorithms.
- Supports beginners aiming to strengthen their coding for interviews.
- Includes mini-projects simulating real-world problem-solving scenarios.
- Tasks cover arrays, stacks, queues, trees, graphs, and dynamic programming.
- Mentors evaluate your code and provide feedback for improvement.
- Focuses on applying algorithms efficiently rather than just theory.
- Builds a portfolio of projects to showcase to potential employers.
- Covers all major DSA topics tested in software engineering interviews.
- Includes problem-solving strategies for array, string, tree, and graph challenges.
- Provides timed coding exercises to improve speed and accuracy.
- Explains efficient algorithm design and optimization techniques.
- Prepares learners for both product-based companies and startups.
- Teaches recursion, backtracking, and dynamic programming for complex problems.
- Focuses on greedy algorithms and graph traversal techniques.
- Provides practice problems similar to those in coding competitions.
- Encourages efficient code writing under constraints.
- Helps improve problem-solving skills essential for contests like Codeforces and LeetCode challenges.
- Covers binary trees, BSTs, tree traversal methods, and recursion strategies.
- Explains graph representations, BFS, DFS, and shortest path algorithms.
- Includes hands-on exercises for building and traversing these structures.
- Introduces algorithmic optimizations for performance-critical applications.
- Prepares learners for technical interviews and real-world programming tasks.
