COURSE
Data Structures in Java
Master Data Structures in Java through hands-on training in algorithmic analysis, the Java Collections Framework, custom data models, and efficient problem-solving.
- Advanced
- Duration 5 Days
- Level Professional
- Certificate Included
Hands-on Labs
Real-world labs and practical scenarios to build strong administration skills.
Expert Instructors
Learn from certified Linux professionals with years of industry experience.
Industry Recognized
Earn a certificate that enhances your career and validates your technical expertise.
Dedicated Support
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Course Overview
A rigorous, hands-on masterclass engineered to transform core syntax skills into technical problem-solving
mastery. Learn to choose, implement, and fine-tune complex memory models from scratch in Java. Master
mathematical time-space complexity metrics, non-linear hierarchy models, fast memory mapping arrays, and
elite search/sorting algorithms to ace production engineering demands
- 13-module algorithmic blueprint — most comprehensive DSA Java course available
- All major data structures implemented from scratch — zero black-box learning
- Big O Notation module: quantify and justify every algorithm decision
- Essential for FAANG interviews, competitive programming, and enterprise Java roles
What You’ll Learn
Java Foundations & Array Modeling
- Core definitions and systemic importance of Data Structures
- Reviewing variables, strongly-typed data options, and operators
- Control flows (conditional checks, loop iterations) and functional scopes
Pointer Networks & Linear Buffer Pipelines
- Assembling Singly and Doubly Linked List dynamic pointer systems
- Stack principles: Implementing push, pop, and peek pointer adjustments
- Queue basics: Configuring FIFO enqueue, dequeue, and peek operations
Trees, Graphs, Hashing & Heaps
- Introduction to structural Hierarchical Trees and Binary Trees
- Building self-sorting Binary Search Trees (BST) from scratch
- Executing Depth-First Search (DFS) and Breadth-First Search (BFS) paths
Sorting, Searching & Big O Analysis
- Iterative sorting: Bubble Sort, Selection Sort, and Insertion Sort
- Divide-and-Conquer patterns: Merge Sort and Quick Sort algorithms
- Non-comparative sorting keys: Radix Sort and Bucket Sort applications
Trusted by Professionals from Top Companies
Course Details
- Duration: 5 Days
- Level: Professional
- Mode: Online / Classroom
- Certificate: Yes
- Training: Instructor-Led
- Language: English
- Access: Lifetime Access
Why Choose Amigo?
- Industry-focused training
- Certified and experienced trainers
- Hands-on real-world experience
- Flexible learning options
- Career guidance and support
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