Certification on Data Structures and Algorithms in JAVA
Master Data Structures & Algorithms in Java with hands-on coding, problem-solving, and projects. Get interview-ready with this certification course.
Instructor
Cognovera
Category
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This course provides an in-depth understanding of Data Structures and Algorithms (DSA) using Java. It is designed for intermediate learners who already have basic Java knowledge and want to master algorithmic problem-solving. The course covers arrays, strings, linked lists, stacks, queues, trees, graphs, hashing, sorting, searching, recursion, dynamic programming, and greedy algorithms. With hands-on coding, real-world examples, and a capstone project, students will gain the skills required for coding interviews, competitive programming, and software development.
Week 1: Java Refresher & Algorithm Analysis
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1
Day 1: Java Basics Refresher- JVM, JDK, JRE recap
- Data types, operators, typecasting
- Input/Output in Java
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2
Day 2: Control Flow & Methods
- If-else, switch
- Loops (for, while, do-while)
- Functions & recursion basics
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3
Day 3: Object-Oriented Programming (OOP)
- Classes, objects, constructors
- Encapsulation & inheritance
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4
Day 4: Polymorphism & Abstraction
- Method overloading & overriding
- Abstract classes, interfaces
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5
Day 5: Algorithm Analysis
- Time complexity (Big-O, Big-Ω, Big-Θ)
- Space complexity
- Recurrence relations (intro)
Week 2: Arrays, Strings & Recursion
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6
Day 1: Arrays
- 1D & 2D arrays
- Searching & manipulation problems
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7
Day 2: Strings
- String class & StringBuilder
- Common problems (palindrome, substring, anagrams)
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8
Day 3: Recursion in Depth
- Tail vs. non-tail recursion
- Recursive problem solving
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9
Day 4: Divide and Conquer
- Binary search
- Merge sort (recursive implementation)
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10
Day 5: Lab Practice
- Recursive coding exercises
Week 3: Searching & Sorting Algorithms
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11
Day 1: Searching Techniques
- Linear & binary search (iterative & recursive)
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12
Day 2: Basic Sorting
- Bubble, selection, insertion sort
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13
Day 3: Efficient Sorting
- Merge sort & quick sort
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14
Day 4: Advanced Sorting
- Heap sort
- Counting & radix sort
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15
Day 5: Lab Practice
- Comparing sorting algorithms with test data
Week 4: Stacks & Queues (Using Java Collections & Custom Implementation)
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16
Day 1: Stack Basics
- Stack implementation (array & linked list)
- Applications (balanced parentheses, infix-postfix conversion)
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17
Day 2: Queue Basics
- Simple queue & circular queue
- Implementation using arrays & linked lists
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18
Day 3: Advanced Queues
- Deque (double-ended queue)
- Priority queue (Java PriorityQueue)
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19
Day 4: Java Collections Framework (JCF) Overview
- List, Set, Map hierarchy
- Using Stack, Queue, Deque from JCF
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20
Day 5: Lab Practice
- Mini project: Expression evaluator using Stack
Week 5: Linked Lists
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21
Day 1: Singly Linked List
- Insertion, deletion, traversal
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22
Day 2: Doubly Linked List
- Forward & backward traversal
- Applications
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23
Day 3: Circular Linked List
- Singly & doubly circular lists
- Applications
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24
Day 4: Advanced Linked List Problems
- Reverse a linked list
- Detect & remove cycles (Floyd’s cycle detection)
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25
Day 5: Lab Practice
- Playlist manager or task scheduler using linked list
Week 6: Trees
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26
Day 1: Tree Basics
- Tree terminology
- Binary tree implementation
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27
Day 2: Traversals
- Inorder, preorder, postorder (recursive & iterative)
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28
Day 3: Binary Search Trees (BST)
- Insertion, deletion, searching
- Applications of BST
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29
Day 4: Balanced Trees (Intro)
- AVL trees (rotations)
- Red-Black trees overview
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30
Day 5: Lab Practice
- Expression trees, BST operations
Week 7: Graphs
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31
Day 1: Graph Representation in Java
- Adjacency matrix & adjacency list
- Using HashMap & ArrayList
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32
Day 2: Graph Traversals
- BFS & DFS (recursive & iterative)
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33
Day 3: Minimum Spanning Tree
- Kruskal’s algorithm
- Prim’s algorithm
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34
Day 4: Shortest Path Algorithms
- Dijkstra’s
- Bellman-Ford
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35
Day 5: Lab Practice
· Implement BFS/DFS using Java Collections
· Graph-based mini problems
Week 8: Advanced Topics & Capstone Project
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36
Day 1: Hashing
- Hash tables in Java
- Collision handling (chaining, open addressing)
- Using HashMap & HashSet
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37
Day 2: Dynamic Programming (DP)
- Memoization vs. tabulation
- Classic problems (Fibonacci, knapsack, LCS)
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38
Day 3: Greedy Algorithms
- Activity selection
- Huffman coding (intro)
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39
Day 4: Capstone Project Development
- Options: Student database system, Route finder using graphs, File indexing system
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40
Day 5: Project Presentation & Certification Assessment
- Project demo & viva
- Certification test (coding + theory)
- Wrap-up & career guidance
Q1. Do I need prior Java knowledge to take this course?
Yes. A basic understanding of Java syntax, OOP concepts, and arrays is required since this is an intermediate-level course.
Q2. Is this course suitable for interview preparation?
Absolutely! The course covers all essential DSA topics frequently asked in coding interviews and includes practice problems.
Q3. Will there be hands-on coding practice?
Yes. Each week includes coding labs, assignments, and a final capstone project to apply concepts practically.
Q4. Can I take this course if I am from a non-CS background?
Yes, if you have basic Java knowledge and problem-solving interest. The course is structured step by step for clarity.
Q5. What certification will I receive after completing this course?
You will receive a “Certification on Data Structures and Algorithms in Java”, which can strengthen your resume and career prospects.
Skills You Will Learn in this Course
- Mastery of Java Collections & custom implementations of DSA
- Problem-solving using arrays, strings, recursion, and hashing
- Implementation of linked lists, stacks, queues, trees, and graphs
- Applying sorting & searching algorithms efficiently
- Understanding time & space complexity of algorithms
- Solving problems using Dynamic Programming & Greedy algorithms
- Developing real-world projects with DSA in Java
- Becoming interview-ready for software engineering roles
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Course details
Lectures
40
Level
Intermediate
Basic info
- Course Name: Certification on Data Structures and Algorithms in Java
- Level: Intermediate
- Duration: 8 Weeks (5 days per week)
- Mode: Online / Classroom / Hybrid
- Assessment: Quizzes, Assignments, Capstone Project, Final Certification Exam
Course requirements
- Prior knowledge of Core Java (OOP concepts, arrays, loops, classes, and methods)
- Basic understanding of problem-solving and mathematics
- A computer with JDK installed (Java 8 or above)
- Enthusiasm to practice coding daily
Intended audience
- Computer Science & IT students preparing for interviews
- Software developers who want to strengthen problem-solving skills
- Competitive programming enthusiasts
- Professionals switching to development roles
- Anyone aiming for top product-based company interviews (FAANG, etc.)
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