Master Data Structures & Algorithms: Python, Java, C++ implementations, code visualization & LeetCode practice.
What you'll learn
Understand the fundamental concepts and principles of data structures and algorithms.
Gain proficiency in implementing data structures and Algorithms using Python, Java, and C++.
Develop a solid understanding of time and space complexity analysis.
Explore and apply various data structures such as arrays, hash maps, pointers, strings, linked lists, stacks, queues, binary trees, graphs, and tries.
Master essential algorithms including depth-first search (DFS), breadth-first search (BFS), search algorithms, backtracking, dynamic programming (DP), and greed
Utilize custom code execution visualization tools to enhance comprehension of complex concepts.
Strengthen problem-solving skills through practical exercises and LeetCode platform practice.
Apply data structures and algorithms to solve real-world programming challenges efficiently.
Enhance coding efficiency and optimize algorithm performance through time and space analysis.
Requirements
Computer and Internet Connection
No experience with data structures or algorithms needed
Basic understanding of any programming language
No previous computer science knowledge necessary
Description
Embark on a transformative journey into the realm of Data Structures and Algorithms with our comprehensive course. Designed to empower programmers of all levels, this course offers a rich learning experience in Python, Java, and C++ implementations. Delve into the art of efficient coding as you master the intricacies of Time Space Analysis. Gain a deep understanding of key topics including Arrays, Hashmaps, Pointers, Strings, Recursions, Stacks, Queues, Linked Lists, Binary Trees, Graphs, DFS, BFS, Search, Backtracking, DP, Greedy, and Tries. But it doesn't stop there. We believe in the power of visualization to unlock complex concepts. Our custom code execution visualization tool will immerse you in a dynamic learning experience, allowing you to witness the inner workings of algorithms in action. Say goodbye to confusion and embrace crystal-clear comprehension.As you progress, challenge yourself on the renowned LeetCode platform. Strengthen your problem-solving skills by tackling mind-bending coding problems that mirror real-world scenarios. LeetCode practice will prepare you for technical interviews, honing your abilities and boosting your confidence.Unlock your coding potential and elevate your skills to new heights. Enroll today in our Data Structures and Algorithms course, and become a master problem solver equipped to tackle any coding challenge that comes your way.
Overview
Section 1: Introduction to Course
Lecture 1 Introduction to Course Curriculum
Section 2: LeetCode #1 Qns. Two Sum (Array, Hash Table)
Lecture 2 Question Requirements
Lecture 3 Algorithm Explanation
Lecture 4 Time Space Analysis
Lecture 5 Python Solution
Lecture 6 Java Solution
Lecture 7 C++ Solution
Section 3: LeetCode #2 Qns. Group Anagrams (Array, Hash Table, String,Sorting)
Lecture 8 Question Requirements
Lecture 9 Algorithm Explanation
Lecture 10 Time Space Analysis
Lecture 11 Python Solution
Lecture 12 Java Solution
Lecture 13 C++ Solution
Section 4: LeetCode #3 Valid Palindrome (Pointers)
Lecture 14 Question Requirements
Lecture 15 Algorithm Explanation
Lecture 16 Time Space Analysis
Lecture 17 Python Solution
Lecture 18 Java Solution
Lecture 19 C++ Solution
Section 5: LeetCode #4 Contains Duplicates (HashSets, Arrays)
Lecture 20 Question Requirements
Lecture 21 Algorithm Explanation
Lecture 22 Time Space Analysis
Lecture 23 Python Solution
Lecture 24 Java Solution
Lecture 25 C++ Solution
Section 6: LeetCode #5 Valid Parenthesis (Stack, Array, String)
Lecture 26 Question Requirements
Lecture 27 Algorithm Explanation
Lecture 28 Time Space Analysis
Lecture 29 Python Solution
Lecture 30 Java Solution
Lecture 31 C++ Solution
Section 7: LeetCode #6 Fibonacci Number (Recursion)
Lecture 32 Question Requirements
Lecture 33 Algorithm Explanation
Lecture 34 Indepth Code execution example on Lalgo
Lecture 35 Time Space Analysis
Lecture 36 Python Solution
Lecture 37 Java Solution
Lecture 38 C++ Solution
Section 8: LeetCode #7 Same Tree (Binary Trees, Recursion)
Lecture 39 Question Requirements
Lecture 40 Tree Data Structure Explanation
Lecture 41 Algorithm Explanation
Lecture 42 Time Space Analysis
Lecture 43 Python Solution
Lecture 44 Java Solution
Lecture 45 C++ Solution
Section 9: LeetCode #8 Validate BST (Binary Tree, Recursion, Stacks)
Lecture 46 Question Requirements
Lecture 47 Intuition
Lecture 48 Recursive Approach Explanation
Lecture 49 Time Space Analysis
Lecture 50 Python Solution
Lecture 51 Java Solution
Lecture 52 C++ Solution
Lecture 53 Iterative Approach Explanation
Lecture 54 Time Space Analysis
Lecture 55 Python Solution
Lecture 56 Java Solution
Lecture 57 C++ Solution
Section 10: LeetCode #9 Reversed Linked List (Linked List, Recursion)
Lecture 58 Question Requirements
Lecture 59 Linked List explanation
Lecture 60 Algorithm Explanation
Lecture 61 Time Space Analysis
Lecture 62 Python Solution
Lecture 63 Java Solution
Lecture 64 C++ Solution
Section 11: LeetCode #10 Merge Two Sorted Lists (Linked List, Recursion)
Lecture 65 Question Requirements
Lecture 66 Algorithm Explanation
Lecture 67 Time Space Analysis
Lecture 68 Python Solution
Lecture 69 Java Solution
Lecture 70 C++ Solution
Section 12: LeetCode #11 Invert Binary Tree (Binary Tree, Recursion)
Lecture 71 Question Analysis
Lecture 72 Algorithm Explanation
Lecture 73 Time Space Anlaysis
Lecture 74 Python Solution
Lecture 75 Java Solution
Lecture 76 C++ Solution
Section 13: LeetCode #12 Search Insert Position (Binary Search)
Lecture 77 Question Requirements
Lecture 78 Wrong Approach
Lecture 79 Algorithm Explanation
Lecture 80 Time Space Analysis
Lecture 81 Python Solution
Lecture 82 Java Solution
Lecture 83 C++ Solution
Section 14: LeetCode #13 Sqrt(x) (Binary Search)
Lecture 84 Question Requirements
Lecture 85 Algorithm Explanation
Lecture 86 Time Space Analysis
Lecture 87 Python Solution
Lecture 88 Java Solution
Lecture 89 C++ Solution
Section 15: LeetCode #14 Minimum Depth of Binary Tree (BFS, DFS)
Lecture 90 Question Requirements
Lecture 91 BFS Algorithm Explanation
Lecture 92 Time Space Analysis
Lecture 93 Python Solution
Lecture 94 Java Solution
Lecture 95 C++ Solution
Lecture 96 DFS Algorithm Explanation
Lecture 97 Time Space Analysis
Lecture 98 Python Solution
Lecture 99 Java Solution
Lecture 100 C++ Solution
Section 16: LeetCode #15 Symmetric Tree (DFS, BFS)
Lecture 101 Question Requirements
Lecture 102 BFS Algorithm Explanation
Lecture 103 Time Space Analysis
Lecture 104 Python Solution
Lecture 105 Java Solution
Lecture 106 C++ Solution
Lecture 107 DFS Algorithm Explanation
Lecture 108 Time Space Analysis
Lecture 109 Python Solution
Lecture 110 Java Solution
Lecture 111 C++ Solution
Section 17: LeetCode #16 Binary Tree Inorder Traversal (DFS)
Lecture 112 Question Requirements
Lecture 113 Algorithm Explanation
Lecture 114 Time Space Analysis
Lecture 115 Python Solution
Lecture 116 Java Solution
Lecture 117 C++ Solution
Section 18: LeetCode #17 Clone Graph (Graphs, DFS)
Lecture 118 Question Requirements
Lecture 119 Graph Data Structure Concept Explanation
Lecture 120 Algorithm Explanation
Lecture 121 Time Space Analysis
Lecture 122 Python Solution
Lecture 123 Java Solution
Lecture 124 C++ Solution
Section 19: LeetCode #18 Number of Islands (Graph, DFS)
Lecture 125 Question Requirements
Lecture 126 Algorithm Explanation
Lecture 127 Time Space Analysis
Lecture 128 Python Solution
Lecture 129 Java Solution
Lecture 130 C++ Solution
Section 20: LeetCode #19 Max Area of Island (Graph, DFS)
Lecture 131 Question Analysis
Lecture 132 Algorithm Explanation
Lecture 133 Time Space Analysis
Lecture 134 Python Solution
Lecture 135 Java Solution
Lecture 136 C++ Solution
Section 21: LeetCode #20 Implement Queue Using Stacks
Lecture 137 Question Requirements
Lecture 138 Solution Explanation
Lecture 139 Time Space Analysis
Lecture 140 Python Solution
Lecture 141 Java Solution
Lecture 142 C++ Solution
Section 22: LeetCode #21 Implement Stack Using Queues
Lecture 143 Question Requirements
Lecture 144 Approach 1: 2 Queues Explanation
Lecture 145 Time Space Analysis
Lecture 146 Python Solution
Lecture 147 Java Solution
Lecture 148 C++ Solution
Lecture 149 Approach 2: 1 Queue Explanation
Lecture 150 Time Space Analysis
Lecture 151 Python Solution
Lecture 152 Java Solution
Lecture 153 C++ Solution
Section 23: LeetCode #22 Subsets (Backtracking, DFS)
Lecture 154 Question Requirements
Lecture 155 Algorithm Explanation
Lecture 156 Indepth Code execution example on Lalgo
Lecture 157 Time Space Analysis
Lecture 158 Python Solution
Lecture 159 Java Solution
Lecture 160 C++ Solution
Section 24: LeetCode #23 Subsets 2 (Backtracking, DFS)
Lecture 161 Question Requirements
Lecture 162 Algorithm Explanation
Lecture 163 Indepth Code execution example on Lalgo
Lecture 164 Time Space Analysis
Lecture 165 Python Solution
Lecture 166 Java Solution
Lecture 167 C++ Solution
Section 25: LeetCode #24 Permutations (Backtracking, DFS)
Lecture 168 Question Requirements
Lecture 169 Algorithm Explanation
Lecture 170 Indepth Code Execution Example on Lalgo
Lecture 171 Time Space Analysis
Lecture 172 Python Solution
Lecture 173 Java Solution
Lecture 174 C++ Solution
Section 26: LeetCode #25 Permutations II (Backtracking, DFS)
Lecture 175 Question Requirements
Lecture 176 Algorithm Explanation
Lecture 177 Indepth Code Execution Example on Lalgo
Lecture 178 Time Space Analysis
Lecture 179 Python Solution
Lecture 180 Java Solution
Lecture 181 C++ Solution
Section 27: LeetCode #26 Combination Sum (Backtracking, DFS)
Lecture 182 Question Requirements
Lecture 183 Algorithm Explanation
Lecture 184 Time Space Analysis
Lecture 185 Python Solution
Lecture 186 Java Solution
Lecture 187 C++ Solution
Section 28: LeetCode #27 Combination Sum 2 (DFS, Backtracking)
Lecture 188 Question Analysis
Lecture 189 Algorithm Explanation
Lecture 190 Time Space Analysis
Lecture 191 Python Solution
Lecture 192 Java Solution
Lecture 193 C++ Solution
Section 29: LeetCode #28 NQueens (Backtracking, DFS)
Lecture 194 Question Analysis
Lecture 195 Algorithm Explanation
Lecture 196 Time Space Analysis
Lecture 197 Python Solution
Lecture 198 Java Solution
Lecture 199 C++ Solution
Section 30: LeetCode #29 Climbing Stairs (Dynammic Programming, Memoization)
Lecture 200 Question Analysis
Lecture 201 Algorithm Explanation
Lecture 202 Time Space Analysis
Lecture 203 Python Solution
Lecture 204 Java Solution
Lecture 205 C++ Solution
Section 31: LeetCode #30 House Robber (Dynamic Programming, Memoization)
Lecture 206 Question Requirements
Lecture 207 Algorithm Explanation
Lecture 208 Time Space Analysis
Lecture 209 Python Solution
Lecture 210 Java Solution
Lecture 211 C++ Solution
Section 32: LeetCode #31 Jump Game (Greedy Algorithm, Dynamic Programming)
Lecture 212 Question Requirements
Lecture 213 Algorithm Explanation
Lecture 214 Time Space Analysis
Lecture 215 Python Solution
Lecture 216 Java Solution
Lecture 217 C++ Solution
Section 33: LeetCode #32 Candy (Greedy Algorithm)
Lecture 218 Question Requirements
Lecture 219 Algorithm Explanation
Lecture 220 Time Space Analysis
Lecture 221 Python Solution
Lecture 222 Java Solution
Lecture 223 C++ Solution
Section 34: LeetCode #33 Implement Trie (Trie)
Lecture 224 Question Requirements
Lecture 225 Algorithm Explanation
Lecture 226 Time Space Analysis
Lecture 227 Python Solution
Lecture 228 Java Solution
Lecture 229 C++ Solution
This course is designed for aspiring programmers, computer science students, software engineers, and anyone interested in strengthening their coding skills and understanding the underlying principles of data structures and algorithms. Whether you are a beginner looking to establish a strong foundation or an experienced developer aiming to sharpen your problem-solving abilities, this course is tailored to meet your needs.,The course content is valuable for individuals who want to gain proficiency in implementing data structures and algorithms using popular programming languages such as Python, Java, and C++. If you are eager to dive into the world of efficient coding and understand how to analyze the time and space complexity of your programs, this course will provide you with the necessary tools.
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