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Data Structures Algorithm DSA | Python+Javascript LEETCODE



What you’ll learn

  • Common Data Structures such as Arrays, Hash Table,Linked List,Binary trees,Graphs etc.
  • Real Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft etc.
  • Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve questions
  • Code Implementation in Javascript, Python

Student Testimonials:

  • “The teacher excels in explaining complex concepts clearly.” – Liam Bailes

  • “I have just started but the quality of explanation is superb . I had seen many videos on time complexity but he explained very well.”-Deepak Reddy

  • “So far, I am finding this course really helpful, and the trainer is really sorted about what he needs to teach and is completely prepared with his plan and material. I feel this is one of the best courses available in Udemy and outside to learn DSA because it is well structured and is delivering what we are looking for.”-Ankur Saxena

  • “Great course. Lecturer is full of in depth knowledge and able to pass it on. Its not easy to find this out there. Thank you.”-Mark Corrigan

  • “Because of this course I understand how to find complexity of the program. Teacher has explained concept in very easy manners, so that any body can understand it properly.”-Amritesh Kumar Singh

  • “I really love the way you have explained it, and thanks for such a great course.”- Soeng Kanel

  • “The course is a rare find for in-depth knowledge.” – Mark Corrigan

  • “Well-structured and thorough preparation for DSA.” – Ankur Saxena

  • “Easy to grasp concepts in a single go.” – Shaik Asrar

  • “Effortless concept assimilation.” – Elisha Benjamin

  • “A great foundation in DSA.” – Prince Roy Sharma

  • “Simplifies understanding DSA.” – Rahul

  • “Clarifies program complexity.” – Amritesh Kumar Singh

  • “Clarified Big O notation for me.” – Aaron Engelmann

  • “Excellent for problem-solving and reasoning.” – Parth

  • “Comprehensive overview of Data Structures.” – Newton

  • “Highly recommended for Tier 1 company preparation.” – Dennis Paul

About the Course:

Welcome to the Coding Interview Bootcamp with a focus on Python and JavaScript!

The primary goal of this course is to prepare you for coding interviews at top tech companies. By tackling one problem at a time and understanding its solution, you’ll accumulate a variety of tools and techniques for conquering any coding interview.

Daily Coding Challenges:

The course is structured around daily coding challenges. Consistent practice will equip you with the skills required for coding interviews and allow you to practice on Leetcode.

Topics Covered:

We start from the basics with Big O analysis, cover common data structures, and discuss real-life problems asked in interviews at tech giants like Google, Meta, Amazon, Netflix, Apple, and Microsoft.

For each question, we will:

  1. Discuss the optimal approach

  2. Explain time and space complexity

  3. Code the solution in JavaScript (you can follow along in your preferred language)

Additional Resources:

The course includes downloadable resources, motivational trackers, and cheat sheets.

Course Outline:

  • Day 1: Arrays, Big O, Sorted Squared Array, Monotonic Array

  • Day 2: Arrays, Rotate Array, Container with Most Water

  • Day 3: Hash Tables, Two Sum, Isomorphic Strings

  • Day 4: Recursion, Fibonacci, Power Sum

  • Day 5: Recursion, Permutations, Power Set

  • Day 6: Strings, Non-Repeating Character, Palindrome

  • Day 7: Strings, Longest Unique Substring, Group Anagrams

  • Day 8: Searching, Binary Search, Search in Rotated Sorted Array

  • Day 9: Searching, Find First and Last Position, Search in 2D Array

  • Day 10: Sorting, Bubble Sort, Insertion Sort

  • Day 11: Sorting, Selection Sort, Merge Sort

  • Day 12: Sorting, Quick Sort, Radix Sort

  • Day 13: Singly Linked Lists, Construct SLL, Delete Duplicates

  • Day 14: Singly Linked Lists, Reverse SLL, Cycle Detection

  • Day 15: Singly Linked Lists, Find Duplicate, Add 2 Numbers

  • Day 16: Doubly Linked Lists, DLL Remove Insert, DLL Remove All

  • Day 17: Stacks, Construct Stack, Reverse Polish Notation

  • Day 18: Queues, Construct Queue, Implement Queue with Stack

  • Day 19: Binary Trees, Construct BST, Traversal Techniques

  • Day 20: Binary Trees, Level Order Traversal, Left/Right View

  • Day 21: Binary Trees, Invert Tree, Diameter of Tree

  • Day 22: Binary Trees, Convert Sorted Array to BST, Validate BST

  • Day 23: Heaps, Max Heap, Min Priority Queue

  • Day 24: Graphs, BFS, DFS

  • Day 25: Graphs, Number of Connected Components, Topological Sort

We offer a full money-back guarantee for 30 days. Enroll today!

  • Jackson

Who this course is for:

  • Students who are about to graduate and trying to get into top Tech companies as software engineers
  • Self taught programmers looking for their first job
  • Experienced developers wanting to get into MAANG companies ( top tech firms)

Course content

  • Day 1: Arrays Data Structures and Algorithms23 lectures • 2hr 15min
  • Day 1: Arrays Data Structures and Algorithms
  • Day 2: Arrays Data Structures and Algorithms15 lectures • 1hr 31min
  • Day 2: Arrays Data Structures and Algorithms
  • Day 3: Hash Tables Data Structures and Algorithms15 lectures • 1hr 36min
  • Day 3: Hash Tables Data Structures and Algorithms
  • Day 4 : Recursion Algorithms18 lectures • 1hr 50min
  • Day 4 : Recursion Algorithms
  • Day 5: Recursion Algorithms11 lectures • 1hr 44min
  • Day 5: Recursion Algorithms
  • Day 6 : Strings Data Structures and Algorithms24 lectures • 1hr 25min
  • Day 6 : Strings Data Structures and Algorithms
  • Day 7: Strings Data Structures and Algorithms10 lectures • 1hr 14min
  • Day 7: Strings Data Structures and Algorithms
  • Day 8: Searching Algorithms11 lectures • 1hr 29min
  • Day 8: Searching Algorithms
  • Day 9: Searching Algorithms11 lectures • 1hr 49min
  • Day 9: Searching Algorithms
  • Day 10: Sorting Algorithms10 lectures • 1hr 6min
  • Day 10: Sorting Algorithms


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