Industrial
Professional
Data Structures using Java
This course provides a comprehensive understanding of Data Structures and Algorithms (DSA) using Java, equipping students with essential problem-solving skills for software development and technical interviews. Starting with fundamental Java programming concepts, the course progresses through arrays, linked lists, stacks, queues, trees, graphs, and hashing, along with their efficient implementations.
Students will explore sorting and searching techniques, recursion, dynamic programming, and greedy algorithms, developing a deep understanding of time and space complexity analysis. Hands-on coding exercises and real-world problems will reinforce learning, ensuring students gain the confidence to write optimized and scalable code.
The course also covers graph algorithms such as Depth-First Search (DFS), Breadth-First Search (BFS), Dijkstra’s algorithm, and minimum spanning trees (MSTs). Advanced topics like AVL trees, heap structures, and hash tables are also included. By the end of this course, students will be proficient in designing and implementing efficient algorithms , solving complex programming problems, and preparing for technical job interviews. Through practical projects and coding challenges, learners will be ready to apply DSA concepts in real-world applications and competitive programming.
Expectations and Goals
Expectations:
- Students will gain a strong foundation in data structures and algorithms using Java.
- They will understand the time and space complexity to write optimized code.
- Hands-on practice with real-world coding problems will enhance problem-solving skills.
- Learners will be able to implement and analyze data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables.
- Students will be confident in applying sorting, searching, recursion, dynamic programming, and greedy algorithms.
- They will be prepared for coding interviews and competitive programming.
Goals:
- Master core Java concepts needed for DSA implementation.
- Learn efficient algorithms for data manipulation and problem-solving.
- Develop skills to design and optimize algorithms using recursion, divide and conquer, and dynamic programming.
- Gain hands-on experience in graph algorithms, tree traversal, and shortest path algorithms.
- Build a mini-project using data structures to reinforce learning.
- Prepare students for technical interviews with coding challenges and real-world problems.
Mode of Training:
- LIVE Online
- Offline in Kolkata
- Offline in Durgapur
- Offline in Institutions / Companies (for institutional and corporate training)
None
Course Modules
Professional
- Duration - 60 to 80 Hours (12/16/20/24 Weeks)
- Daily / Weekly Classes
- 4 Case Studies & 1 Minor Project & 1 Live Project
- Professional Courses are more comprehensive. The learning is case study based and project oriented. Ideal for passout students and working professionals.
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WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. -
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