Table of Contents
What you’ll learn
- Dynamic Programming, Backtracking Techniques
- Common Data Structures such as Arrays, Hash Table,Linked List,Binary trees,Graphs etc.
- Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve questions
- Real Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft etc.
- Boost your Problem solving skills
Description
About the Course:
Welcome to the Algorithms and Data Structures Coding Interview Bootcamp with Python!
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 to ace coding interviews. For the next 40 days commit to yourself to practice atleast 2 coding interview questions everyday. You don’t need any setup for this as the daily coding problem challenges can be solved in the coding environment provided by Udemy. The course will automatically track your progress and you just need to spend your time making actual progress everyday.
Topics Covered:
We start from the basics with Big O analysis, then move on to very important algorithmic techniques such as Recursion, Backtracking and Dynamic Programming Patters. After this we move to cover common data structures, and discuss real problems asked in interviews at tech giants such as Google, Meta, Amazon, Netflix, Apple, and Microsoft.
For each question, we will:
- Discuss the optimal approach
- Explain time and space complexity
- Code the solution in Python (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:Recursion,k-th symbol in Grammar,Josephus problem
- Day 3:Recursion, Tower of Hanoi, Power Sum
- Day 4:Backtracking, Permutations, Permutations 2
- Day 5:Backtracking, Subsets, Subsets 2
- Day 6:Backtracking, Combinations, Combinations Sum 1
- Day 7:Backtracking,Combinations Sum 2,Combinations Sum 3
- Day 8:Backtracking,Sudoku Solver, N Queens
- Day 9:Dynamic Programming, Fibonacci, Climbing Stairs
- Day 10:Dynamic Programming, Min Cost Climbing Stairs, Tribonacci
- Day 11:Dynamic Programming, 01 Knapsack, Unbounded Knapsack
- Day 12:Dynamic Programming, Target Sum, Partition Equal Subset Sum
- Day 13:Dynamic Programming, LCS, Edit Distance
- Day 14:Dynamic Programming, LIS, Max Length of Pair Chain, Russian Doll Envelopes
- Day 15:Dynamic Programming, Palindromic Substrings, Longest Palindromic Substring, Longest Palindromic Subsequence
- Day 16:Dynamic Programming, Palindrome Partitioning, Palindrome Partitioning 2
- Day 17:Dynamic Programming, Word Break, Matrix Chain Multiplication
- Day 18:Dynamic Programming, Kadane’s algorithm – Max Subarray, Maximum Product Subarray
- Day 19: Arrays, Rotate Array, Container with Most Water
- Day 20: Hash Tables, Two Sum, Isomorphic Strings
- Day 21: Strings, Non-Repeating Character, Palindrome
- Day 22: Strings, Longest Unique Substring, Group Anagrams
- Day 23: Searching, Binary Search, Search in Rotated Sorted Array
- Day 24: Searching, Find First and Last Position, Search in 2D Array
- Day 25: Sorting, Bubble Sort, Insertion Sort
- Day 26: Sorting, Selection Sort, Merge Sort
- Day 27: Sorting, Quick Sort, Radix Sort
- Day 28: Singly Linked Lists, Construct SLL, Delete Duplicates
- Day 29: Singly Linked Lists, Reverse SLL, Cycle Detection
- Day 30: Singly Linked Lists, Find Duplicate, Add 2 Numbers
- Day 31: Doubly Linked Lists, DLL Remove Insert, DLL Remove All
- Day 32: Stacks, Construct Stack, Reverse Polish Notation
- Day 33: Queues, Construct Queue, Implement Queue with Stack
- Day 34: Binary Trees, Construct BST, Traversal Techniques
- Day 35: Binary Trees, Level Order Traversal, Left/Right View
- Day 36: Binary Trees, Invert Tree, Diameter of Tree
- Day 37: Binary Trees, Convert Sorted Array to BST, Validate BST
- Day 38: Heaps, Max Heap, Min Priority Queue
- Day 39: Graphs, BFS, DFS
- Day 40: Graphs, Number of Connected Components, Topological Sort
My confidence in your satisfaction with this course is so high that we offer a complete money-back guarantee for 30 days! Thus, it’s a totally risk-free opportunity. Register today, facing ZERO risk and standing to gain EVERYTHING.
So what are you waiting for? Join the best Python Data Structures & Algorithms Bootcamp on Udemy.
I’m eager to see you in the course.
Let’s kick things off! 🙂
Jackson
Who this course is for:
- Folks looking to get into top Tech companies in Software Engineering roles
- Folks looking to ace the DSA part in Data Science Interview
- Self taught programmers looking for their first job
- Experienced developers wanting to get into MAANG companies ( top tech firms)
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