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US$15
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Duration: 3 Months
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Delivery mode: Online
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Group size: Individual
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Instruction language:
English,
Hindi
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Certificate provided:
No
Course Overview: Mastering Data Structures & Algorithms
Ready to transform from "It works on my machine" to "Watch me optimize this LeetCode solution"? Welcome to a comprehensive, interactive course meticulously crafted for aspiring developers who dream in code and algorithms.
As an experienced software professional with over 12 years in the industry, I specialize in teaching Data Structures and Algorithms rigorously in the following programming languages: Java, Python, Go, and Rust. Additionally, you'll gain specialized expertise in the powerful Spring Boot framework to complement your Java skills.
What You'll Learn (or finally make peace with):
1. Algorithm Analysis and Complexity:
Asymptotic Analysis (Big-O, Omega, Theta—no Greek drama, just clean analysis)
Analysis of loops and recursive methods (Spoiler: recursion involves recursion)
2. Essential Mathematical Foundations:
Prime Numbers, GCD, LCM, factorial computations (Yes, math can be painless)
Bitwise Operations and practical coding wizardry (Binary magic demystified)
3. Recursion and Backtracking Techniques:
Elegant recursive solutions (Because who doesn’t love infinite mirrors?)
Classic problems: Tower of Hanoi, Josephus, Subset Sum, and generating permutations
4. Arrays and String Manipulations:
From basics (sorting and rotating arrays) to advanced challenges (Rain Water Trapping, Sliding Windows)
String operations including Pattern Searching (KMP, Rabin-Karp algorithms) and Anagram checks (god = dog?)
5. Efficient Searching & Sorting Algorithms:
Binary Search mastery (Finding needles in digital haystacks, fast)
Deep dive into QuickSort, MergeSort, HeapSort, CountingSort, RadixSort, and BucketSort (Sorting your life out algorithmically)
6. Linked Lists (Because arrays have issues, literally):
Singly, Doubly, and Circular Linked Lists implementations (No actual circles harmed)
Real-world scenarios: Detecting loops, reversing lists, and complex LRU Cache designs
7. Stack, Queue, and Deque Mastery:
Implementation in your favorite languages (Stacks: because life's easier LIFO-style)
Problems from Balanced Parentheses to the Largest Rectangle in a Histogram
8. Trees & Graphs (Not the leafy kind):
Traversals, Balanced Trees (AVL & Red-Black), and applications like serialization
Graph theory essentials (BFS, DFS, Dijkstra, Prim’s, Kruskal's, and even some Tarjan's magic)
9. Hashing (Efficiency never looked so good):
Chaining vs Open addressing, HashMaps/HashSets in Java and equivalents in Go, Rust, and Python
Solve complex hashing problems: distinct elements, frequency counting, subarray sums, and more
10. Dynamic Programming and Greedy Algorithms (Make your code work smarter, not harder):
Master DP strategies (Memoization vs Tabulation) and solve classical challenges (Knapsack, LIS, Edit Distance, Egg Dropping puzzles)
Greedy approaches that work (Job sequencing, Huffman coding—greed can be good)
11. Advanced Topics:
Trie Data Structures, Segment Trees, Binary Indexed Trees (Fenwick Trees), and Disjoint Sets
Solve real competitive coding problems efficiently and confidently
Course Languages & Framework:
Languages: Java, Python, Go, and Rust
Framework: Spring Boot (Building scalable, enterprise-ready Java applications)
Why Enroll?
Clear explanations, sprinkled with humor, no extra charge.
Hands-on, practical LeetCode problems solved live in each class.
Interview preparation made systematic, stress-free, and surprisingly enjoyable.
Personalized mentorship tailored specifically to your coding journey.
Coding isn’t just about writing lines—it's about crafting elegant, efficient solutions that tech interviewers love (and secretly envy).
Ready to level up your coding skills, algorithmic intuition, and interview confidence?
Join me, and let's turn coding frustrations into algorithmic triumphs.
Warm regards,