Heap Data Structure
Heap Data Structure
Published 7/2025
Duration: 4h 26m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.15 GB
Genre: eLearning | Language: English
Published 7/2025
Duration: 4h 26m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.15 GB
Genre: eLearning | Language: English
Learn how to implement heap data structure and work with it!
What you'll learn
- The learners will be learning the Heap data structures and various operations that are performed on it.
- The course should be completed in 2 weeks.
- The learners will learn about the implementation of the priority queues data structure.
- The learners will learn about the use of classes and object creation as a part of implementation of heap data structure.
Requirements
- The learners must have prior knowledge on C++ fundamentals and a little knowledge on classes and objects!
Description
Tame the Heap: Master Priority Queues & Efficient Data Handling (Hands-On!)
Struggling to grasp how systems manage "highest priority first" tasks? Or maybe you've wrestled with interview questions about heaps and felt lost? This course cuts through the confusion.Forget dry lectures and abstract theory—we’re diving into thehowandwhyof heaps, making them practical and intuitive.
You'll start by building a solid foundation:what heaps really are(hint: it’s not about memory!). We’ll draw heaps by hand, visualizing their unique tree structure and the simple rules that make them tick—like why the rootalwaysholds the min or max value. But this isn’t art class! You’ll quickly translate those drawings intoreal code. Step-by-step, you’ll implement core operations: inserting elements smoothly (insert), efficiently pulling out the top value (extract-min/max), and understanding the crucialheapifyprocess that keeps everything in order. We’ll peek under the hood to seewhythese operations are surprisingly fast.
Where does this actually matter?Everywhere! We’ll connect dots to real problems:priority queuesfor ER triage or task scheduling,efficient sortingwith Heapsort (and how it compares to QuickSort),finding top-K elementsin massive datasets (think trending tweets!), and even core algorithms like Dijkstra's pathfinding. I’ve seen students struggle with the "why"—so we focus on concrete use cases you’ll encounter in apps, systems, and yes,those tough coding interviews. Expect practice problems mimicking real-world scenarios and classic tech interview stumpers.
Coding is central.You’ll implement heaps from scratch inC++. We’ll cover array-based storage tricks and pointer-based trees. Expectcommon pitfalls(off-by-one errors in parent/child indices, anyone?) and how to debug them. You’ll even learn to draw memory diagrams to trace your heap’s state—no magic, just clarity.No math phobia here!We explain the O(log n) magic intuitively. By the end, you won’t justunderstandheaps; you’llownthem. You’ll confidently analyze when to use a heap vs. another structure and wield it to write smarter, faster code. Ready to finally conquer this fundamental? Let's build!
Who this course is for:
- For enthusiasts interested in learning different data structures and their implementation.
More Info