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
Student Testimonials:
"Amazing Course" - Erick Odhiambo Otieno
"I never seen the best course in this learning platform. It is the best course if you want to understand DSA to the core. you should try it guys. thanks a lot sir for this best course." - Nibru Kefyalew
"Great course!" - Shay Keren
"Very thorough and methodical" - Shahjamal Biswas
"Very intuitive and in-depth! so far" - Nikhil Valse
"A good explanation for this problem." - Bhuvan Akoju
"So far good explanation on DS ,recursion and quizzes." - Anuradha Yadavalli
"the instructor is very good at explaining and simplifying complex concept. this course cover all the DSA module in depth withs great examples" - RODRIGUE NGONGANG
"excellent" - Neha Nayak
"Awesomly attractive course!"- Dariusz Jenek
"Great one" - Wilson Edafe
"Excellent Teaching"- Ameeruddin Syed
"It is an excellent platform !!" - Subhajit Bera
About the Course:
Welcome to the Data Structures and Algorithms 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 Data Structures and Algorithms 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, NQueens
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:Greedy Algorithms - Fractional Knpasack, Non overlapping Intervals
Day 20:Greedy Algorithms - Jump Game 1, Minimum # of arrows to burst baloons
Day 21:Greedy Algorithms - Two City Scheduling, Boats to Save people
Day 22:Greedy Algorithms - Task Scheduler, Largest Number
Day 23:Greedy Algorithms - Gas Stations, Jump Game 2
Day 24: Arrays, Rotate Array, Container with Most Water
Day 25: Hash Tables, Two Sum, Isomorphic Strings
Day 26: Strings, Non-Repeating Character, Palindrome
Day 27: Strings, Longest Unique Substring, Group Anagrams
Day 28: Searching, Binary Search, Search in Rotated Sorted Array
Day 29: Searching, Find First and Last Position, Search in 2D Array
Day 30: Sorting, Bubble Sort, Insertion Sort
Day 31: Sorting, Selection Sort, Merge Sort
Day 32: Sorting, Quick Sort, Radix Sort
Day 33: Singly Linked Lists, Construct SLL, Delete Duplicates
Day 34: Singly Linked Lists, Reverse SLL, Cycle Detection
Day 35: Singly Linked Lists, Find Duplicate, Add 2 Numbers
Day 36: Doubly Linked Lists, DLL Remove Insert, DLL Remove All
Day 37: Stacks, Construct Stack, Reverse Polish Notation
Day 38: Queues, Construct Queue, Implement Queue with Stack
Day 39: Binary Trees, Construct BST, Traversal Techniques
Day 40:Pre order and In order Traversal of Binary Tree - Iterative
Day 41:Post Order Traversal Iterative, Path Sum 2
Day 42:Construct Binary Tree from Pre and In order Traversal ^In and Post order Traversal
Day 43: Binary Trees, Level Order Traversal, Left/Right View
Day 44:Level order Trav 2, ZigZag Traversal
Day 45:Vertical order Traversal, Sum root to leaf numbers
Day 46: Binary Trees, Invert Tree, Diameter of Tree
Day 47: Binary Trees, Convert Sorted Array to BST, Validate BST
Day 48:Lowest common Ancestor of BST, Unique BST2
Day 49:Lowest common Ancestor of Binary Tree, Unique BST1
Day 50:Serialize and Deserialize Binary Tree, N-ary Tree Level Order Traversal
Day 51: Heaps, Max Heap, Min Priority Queue
Day 52: Graphs, BFS, DFS
Day 53: Graphs, Number of Connected Components, Topological Sort
Day 54:Number of Provinces, Find if path exists in Graph
Day 55:Number of Islands, Numbers with same consecutive differences
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
