Java Collections In Depth: A Data Structure Deep Dive

Master Java Collections: Hashing, Time Complexity, Sets, and Comparisons

What you'll learn

Master equals() & hashCode() for correct object equality and smooth collection usage

Demystify time & space complexity—plus dynamic programming trade-offs—to tackle algorithmic bottlenecks.

Explore core interfaces (List, Set, Map) and dive into their subtypes for flexible data handling.

Deep-dive into hashing, load factors, and collisions to optimize HashSet and HashMap performance.

Implement and compare sets (HashSet, LinkedHashSet, TreeSet) for unique storage and sorted ordering.

Handle concurrency with Vector, CopyOnWriteArrayList, and safe iteration for robust multi-threaded apps.

Master ordering via Comparable and Comparator to build custom sorting and flexible object comparisons

Uncover iteration patterns, fail-fast mechanisms, and sublists to streamline collection operations.

Harness specialized collections—WeakHashMap, NavigableSet, queues, and deques—for caching, scheduling, and dynamic navigation.

Leverage the Collections utility class for searching, synchronization, immutability, and more.

Requirements

Basic understanding of Java syntax and OOP principles

Familiarity with fundamental programming concepts (e.g., loops, methods)

A working Java environment (JDK and IDE)

Description

Immerse yourself in an in-depth exploration of Java Collections that spans everything from object equality fundamentals to sophisticated data-structure choices. You’ll start by mastering equals() and hashCode(), tackling essential rules and best practices for correctly comparing objects and preventing data anomalies. From there, you’ll delve into critical topics such as hashing and load factors, where you’ll discover how good hash functions and proper bucket management keep your sets and maps lightning-fast and collision-free.As you advance, you’ll gain a solid grasp of time and space complexities—revealing how these concepts influence algorithm performance—and learn to balance efficiency via dynamic programming trade-offs. Explore a full spectrum of collections, from Lists and Sets to Maps, uncovering core interfaces and specialized implementations like LinkedHashSet, TreeSet, and WeakHashMap. You’ll see how concurrency plays out in structures like Vector and CopyOnWriteArrayList, and why fail-fast iterators protect against unpredictable modifications. Alongside sorting and ordering mechanisms (Comparable vs. Comparator), you’ll also harness NavigableSets for intricate operations on sorted data. Finally, put it all together with sublists for range-based list operations, the Deque interface for double-ended queues, and the powerful Collections utility class for tasks like searching, synchronization, and immutability. By the end of this course, you’ll be fully equipped to design, implement, and optimize any data-handling requirement your Java projects demand.

Overview

Section 1: Understanding Equality and Hashing

Lecture 1 Collections overview

Lecture 2 Equality and the equals method

Lecture 3 Rules for equality

Lecture 4 Walkthrough of an equals implementation

Lecture 5 Hashing and hash codes

Lecture 6 Equality and hash codes

Lecture 7 Hands-on exercise

Section 2: Complexity and Comparison

Lecture 8 Time complexity

Lecture 9 Space complexity and tradeoffs

Lecture 10 Comparator and Comparable

Section 3: Iterators and Collection Interface

Lecture 11 The iterator pattern

Lecture 12 Fail fast iterators

Lecture 13 The Collection interface hierarchy

Section 4: The List Interface and Variants

Lecture 14 The List interface

Lecture 15 Amortized time complexity

Lecture 16 LinkedList

Lecture 17 Vector

Lecture 18 Autoboxing with Lists

Lecture 19 CopyOnWriteArrayList

Lecture 20 List iterators

Lecture 21 SubList

Lecture 22 Equals with List objects

Section 5: Exploring Sets

Lecture 23 The Set interface

Lecture 24 HashSet

Lecture 25 HashSet load factor and capacity

Lecture 26 LinkedHashSet

Lecture 27 SortedSet and TreeSet

Lecture 28 TreeSet exercise

Lecture 29 NavigableSet

Section 6: Maps, Queues, and Deques

Lecture 30 The Map interface

Lecture 31 The Queue interface

Lecture 32 The Deque interface

Lecture 33 WeakHashMap

Section 7: Utility Methods and Conclusion

Lecture 34 Collections utility methods

Junior developers seeking deeper insights into Java data structures,Experienced engineers seeking new strategies to tackle performance bottlenecks and acquire advanced knowledge,Interview preparation aspirants looking to ace Java Collections questions,Anyone wanting a comprehensive understanding of the Java Collections framework