Ultimate 25 days coding interview bootcamp. DSA, BigO, Coding Interview Patterns Python Javascript Get the job you want!
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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
This course includes:
- 39 hours on-demand video
- 84 coding exercises
- 63 articles
- 101 downloadable resources
- Access on mobile and TV
- Certificate of completion
Top companies offer this course to their employeesThis course was selected for our collection of top-rated courses trusted by businesses worldwide.
Course content
26 sections • 322 lectures • 39h 58m total lengthCollapse all sections
Day 1: Arrays Data Structures and Algorithms22 lectures • 2hr 14min
- Welcome! How to make best use of this coursePreview02:34
- Day 1 Goals00:35
- Introduction to Data StructuresPreview04:34
- Introduction to Big O, Time Complexity14:01
- 2 Asymptotic Analysis and Big O16:36
- Big O Space Complexity03:50
- Big O Logarithm05:12
- Arrays: Data Structures Crash Course13:21
- Set up, Using Debugger03:00
- Coding Interview Q1: Sorted Squared Array04:46
- Coding Exercise – Python : Sorted Squared Array1 question
- Coding Exercise – JS: Sorted Squared Array1 question
- Method 1, Big O Analysis03:05
- JS- Code our solution04:43
- JS – Code walkthrough and Big O analysis04:15
- Python Code and Big O analysis03:00
- Method 207:29
- Javascript – Code our solution06:22
- Javascript – Code walkthrough and Big O analysis05:16
- PYTHON Code and Big O analysis05:48
- Coding Interview Q2: Monotonic Array05:14
- Coding Exercise – Python: Monotonic Array1 question
- Coding Exercise – JS: Monotonic Array1 question
- Method and Big O analysis07:17
- Javascript – Code the solution, Big O analysis07:03
- PYTHON – Code and Big O analysis06:11
Day 2: Arrays Data Structures and Algorithms15 lectures • 1hr 31min
- Day 2 Goals00:31
- Coding Interview Q1: Rotate ArrayPreview02:37
- Coding Exercise – Python: Rotate Array1 question
- Coding Exercise – JS: Rotate Array1 question
- Method and Big O analysisPreview11:59
- Code the solution05:15
- PYTHON Code Solution05:36
- Python Code Method 203:51
- Coding Interview Q2: Container with most water09:08
- Coding Exercise – Python: Container with most water1 question
- Coding Exercise – JS: Container with most water1 question
- Method 1 and Big O analysis10:54
- Code the solution04:17
- Code walkthrough and Big O analysis05:26
- PYTHON Code Method 107:02
- Method 2 and Big O analysis10:06
- Code the solution04:08
- Code walkthrough05:51
- PYTHON Code Method 204:28
Day 3: Hash Tables Data Structures and Algorithms15 lectures • 1hr 36min
- Day 3 Goals00:33
- Hash Table: Data Structures Crash Course13:25
- Coding Interview Q1: Two Sum04:45
- Coding Exercise – Python: Two Sum1 question
- Coding Exercise – JS: Two Sum1 question
- Method 1, Big O analysis07:46
- Coding the solutions05:48
- Code Walkthrough03:11
- PYTHON Code03:06
- Method 2, Big O analysis09:26
- Coding the solution07:33
- Code Walkthrough05:09
- PYTHON Code03:44
- Coding Interview Q2: Isomorphic Strings04:30
- Coding Exercise – Python: Isomorphic Strings1 question
- Coding Exercise – JS: Isomorphic Strings1 question
- Method and Big O analysis09:32
- Code the solution11:23
- PYTHON Code06:05
Day 4 : Recursion Algorithms18 lectures • 1hr 50min
- Day 4 Goals00:53
- Coding Interview Q1: Fibonacci04:59
- Coding Exercise – Python: Fibonacci1 question
- Coding Exercise – JS: Fibonacci1 question
- Method 1 and Big O analysis18:09
- Code 102:22
- Code walkthrough 104:33
- PYTHON Code04:52
- Method 2 and Big O analysis12:01
- Code 205:47
- PYTHON Code04:13
- Method 3 and Big O analysis09:31
- Code 302:43
- Code walkthrough 302:52
- PYTHON Code03:23
- Coding Interview Q2: Power Sum06:34
- Coding Exercise – Python: Power Sum1 question
- Coding Exercise – JS: Power Sum1 question
- Method and Big O analysis11:01
- Code04:25
- Code walkthrough06:20
- PYTHON Code05:48
Day 5: Recursion Algorithms11 lectures • 1hr 44min
- Day 5 Goals00:17
- Coding Interview Q1: PermutationsPreview02:10
- Coding Exercise – Python: Permutations1 question
- Coding Exercise – JS: Permutations1 question
- Method and Big O analysisPreview26:09
- Code05:46
- Code Walkthrough13:08
- PYTHON code10:54
- Coding Interview Q2: All Sub sets(Power set)02:39
- Coding Exercise – Python: All Sub sets ( Power set)1 question
- Coding Exercise – JS: All Sub sets ( Power set)1 question
- Method and Big O analysis18:01
- Code04:29
- Code walkthrough11:38
- PYTHON code08:40
Day 6 : Strings Data Structures and Algorithms24 lectures • 1hr 25min
- Day 6 Goals00:20
- Data Structures Crash Course: Strings04:08
- Coding Interview Q1: First Non Repeating Character03:08
- Coding Exercise – Python: First Non Repeating Character1 question
- Coding Exercise – JS: First Non Repeating Character1 question
- Method 1 and Big O analysis04:54
- Code06:30
- Code walkthrough04:49
- PYTHON code03:44
- Method 2 and Big O analysis05:37
- Code06:17
- Code walkthrough04:27
- PYTHON code04:56
- Coding Interview Q2: Is Palindrome ?03:02
- Coding Exercise- Python: Is Palindrome?1 question
- Coding Exercise- JS: Is Palindrome?1 question
- Method 1 and Big O analysis04:57
- Code03:01
- Code Walkthrough02:32
- PYTHON code02:30
- Method 2 and Big O analysis02:35
- Code01:36
- Code Walkthrough01:45
- PYTHON code01:51
- Method 3 and Big O analysis04:19
- Code04:36
- Code Walkthrough01:51
- PYTHON code01:53
Day 7: Strings Data Structures and Algorithms10 lectures • 1hr 14min
- Day 7 Goals00:21
- Coding Interview Q1: Longest Sub string with Unique characters02:31
- Coding Exercise – Python: Longest Sub string with Unique characters1 question
- Coding Exercise – JS: Longest Sub string with Unique characters1 question
- Method and Big O analysis16:04
- Code07:51
- Code walkthrough07:32
- PYTHON code10:58
- Coding Interview Q2: Group Anagrams01:50
- Coding Exercise – Python: Group Anagrams1 question
- Coding Exercise – JS : Group Anangrams1 question
- method and Big O analysis07:31
- code11:42
- PYTHON code07:50
Day 8: Searching Algorithms11 lectures • 1hr 29min
- Day 8 Goals00:44
- Coding Interview Q1 : Binary Search Algorithm05:23
- Coding Exercise – Python: Binary Search Algorithm1 question
- Coding Exercise – JS: Binary Search Algorithm1 question
- Method and Big O analysis16:01
- Code Iterative08:15
- Code Recursive11:02
- PYTHON Code Iterative03:52
- PYTHON Code Recursive04:36
- Coding Interview Q2: Search in rotated sorted array04:32
- Coding Exercise – Python: Search in rotated sorted array1 question
- Coding Exercise – JS: Search in rotated sorted array1 question
- Method and Big O analysis16:13
- Code13:26
- PYTHON Code05:23
Day 9: Searching Algorithms11 lectures • 1hr 49min
- Day 9 Goals00:33
- Coding Interview Q1: Search for range02:46
- Coding Exercise – Python: Search for range1 question
- Coding Exercise – JS: Search for range1 question
- Method and Big O analysis13:31
- Code Recursive19:22
- PYTHON Code – Recursive12:20
- Code Iterative13:14
- PYTHON Code – Iterative06:35
- Coding Interview Q2: Search in Matrix02:48
- Coding Exercise – Python: Search in Matrix1 question
- Coding Exercise – JS: Search in Matrix1 question
- method and Big O analysis09:01
- code15:34
- PYTHON code12:54
Day 10: Sorting Algorithms10 lectures • 1hr 6min
- Day 10 Goals00:17
- Coding Interview Q1: Bubble Sort Algorithm01:55
- Coding Exercise – Python: Bubble Sort Algorithm1 question
- Coding Exercise – JS: Bubble Sort Algorithm1 question
- Method and Big O analysis09:03
- Code07:26
- Code Walkthrough06:20
- Python Code06:34
- Coding Interview Q2: Insertion Sort Algorithm, Big O analysis10:50
- Coding Exercise – Python: Insertion Sort Algorithm1 question
- Coding Exercise – JS: Insertion Sort Algorithm1 question
- Code12:41
- Python code09:22
- Insertion sort is a stable sorting Algorithm01:29
Day 11: Sorting Algorithms9 lectures • 1hr 7min
- Day 11 Goals00:17
- Coding Interview Q1: Selection Sort Algorithm, Big O analysis09:58
- Coding Exercise – Python: Selection Sort Algorithm1 question
- Coding Exercise – JS: Selection Sort Algorithm1 question
- JS Code08:49
- Python Code01:03
- Coding Interview Q2: Merge Sort Algorithm11:39
- Coding Exercise – Python: Merge Sort Algorithm1 question
- Coding Exercise – JS: Merge Sort Algorithm1 question
- Method and Big O analysis15:43
- JS Code09:09
- JS Code Walkthrough08:33
- Python Code02:06
Day 12: Sorting Algorithms11 lectures • 2hr 32min
- Day 12 Goals00:17
- Coding Interview Q1: Quick Sort Algorithm14:22
- Coding Exercise – Python: Quick Sort Algorithm1 question
- Coding Exercise – JS: Quick Sort Algorithm1 question
- Optimise Time Complexity13:57
- Optimise Space Complexity21:43
- JS Code17:22
- Call stack walkthrough06:49
- JS Code walkthrough07:07
- Python Code01:34
- Coding Interview Q2: Radix Sort Algorithm, Big O analysis33:47
- Coding Exercise – Python: Radix Sort1 question
- Coding Exercise – JS: Radix Sort1 question
- JS Code33:02
- Python Code01:31
Day 13 Singly Linked List Data Structures and Algorithms12 lectures • 1hr 53min
- Day 13 Goals01:02
- Class Syntax12:29
- Data Structures Crash Course: Linked Lists11:11
- Coding Interview Q1: Design a Singly Linked List04:07
- Coding Exercise – Python : Design a Singly Linked List1 question
- Coding Exercise – JS : Design a Singly Linked List1 question
- Method and Big O analysis25:18
- JS Code36:12
- Python Code01:24
- Coding Interview Q2: Remove Duplicates01:30
- Coding Exercise – Python: Remove Duplicates1 question
- Coding Exercise – JS: Remove Duplicates1 question
- Method and Big O analysis07:01
- Javascript Code07:57
- Javascript Code walkthrough04:05
- Python Code01:02
Day 14 Singly Linked List Data Structures and Algorithms11 lectures • 51min
- Day 14 Goals00:30
- Coding Interview Q1: Reverse02:07
- Coding Exercise – Python: Reverse SLL1 question
- Coding Exercise – JS: Reverse SLL1 question
- Method and Big O analysis08:18
- Javascript Code08:50
- Javascript Code walkthrough03:56
- Python Code00:52
- Coding Interview Q2 : Cycle Detection01:39
- Coding Exercise – Python: Cycle Detection1 question
- Coding Exercise – JS: Cycle Detection1 question
- Method and Big O analysis08:39
- Javascript Code10:43
- Python Code01:09
- proof04:16
Day 15 : Singly Linked List Data Structures and Algorithms9 lectures • 43min
- Day 15 Goals00:31
- Coding Interview Q1: Find duplicate number02:47
- Coding Exercise – Python: Find duplicate number1 question
- Coding Exercise – JS: Find duplicate number1 question
- method and Big O analysis08:01
- Javascript code05:35
- Python code00:39
- Coding Interview Q2: Add 2 numbers03:31
- Coding Exercise – Python: Add 2 numbers1 question
- Coding Exercise – JS: Add 2 numbers1 question
- method and Big O analysis07:27
- Javascript code12:46
- Python code01:28
Day 16 Doubly Linked List Data Structures and Algorithms20 lectures • 1hr 36min
- Day 16 Goals00:46
- Coding Interview Q1: Remove Node, Insert Node03:03
- Coding Exercise – Python: Remove Node1 question
- Coding Exercise – JS: Remove Node1 question
- Method remove06:43
- Javascript Code: remove11:19
- walkthrough remove05:59
- Python code: Remove01:05
- Insert Intro05:08
- Method Insert08:29
- Coding Exercise- Python: Insert Node1 question
- Coding Exercise- JS: Insert Node1 question
- Javascript Code: Insert12:25
- Python code: Insert01:40
- Coding Interview Q2: Remove Value, Insert at Position in Doubly Linked List02:06
- Coding Exercise – Python: Remove Value in Doubly Linked List1 question
- Coding Exercise – JS: Remove Value in Doubly Linked List1 question
- Remove Val Method04:16
- Javascript Code02:55
- Code walkthrough03:28
- Python Code02:02
- Insert at Position03:33
- method04:59
- Coding Exercise – Python: Insert at Position in Doubly Linked List1 question
- Coding Exercise – JS: Insert at Position in Doubly Linked List1 question
- Javascript Code10:47
- Walkthrough Insert03:09
- Python Code01:52
Day 17: Stacks Data Structures and Algorithms9 lectures • 47min
- Day 17 Goals00:33
- Data Structures Crash Course: Stacks and Queues06:08
- Coding Interview Q1: Design a Stack07:09
- Coding Exercise – Python: Design a Stack (with Linked List)1 question
- Coding Exercise – JS: Design a Stack (with Linked List)1 question
- Javascript Code11:47
- Python Code01:23
- Coding Interview Q2: Reverse Polish Notation03:34
- Coding Exercise – Python: Reverse Polish Notation1 question
- Coding Exercise – JS: Reverse Polish Notation1 question
- method and Big O analysis05:12
- Javascript code10:42
- Python Code00:53
Day 18: Queue Data Structures and Algorithms8 lectures • 48min
- Day 18 Goals00:54
- Coding Interview Q1: Design a Queue05:57
- Coding Exercise – Python: Design a Queue using a Linked list1 question
- Coding Exercise – JS: Design a Queue (with a Linked List)1 question
- Javascript Code13:05
- Python Code00:54
- Coding Interview Q2 : Queue with Stack02:49
- Coding Exercise – Python: Queue with Stack1 question
- Coding Exercise – JS: Queue with Stack1 question
- method and Big O analysis08:27
- Javascript code14:42
- Python Code00:55
Day 19: Binary Tree / Binary Search Tree Data Structures and Algorithms14 lectures • 3hr 18min
- Day 19 Goals00:43
- Data Structures Crash Course: Trees Introduction05:00
- Theory: Binary Trees 124:07
- Proof : height of Balanced Binary tree is floor(log N)10:41
- Theory: Binary Tree Terminaologies10:05
- What is a BST – Binary Search Tree05:49
- Coding Interview Q1: Construct Binary Search Tree,Big O analysis21:31
- Coding Exercise – Python: Construct Binary Search Tree1 question
- Coding Exercise – JS: Construct Binary Search Tree1 question
- Javascript Code38:31
- Javascript Code Walkthrough20:28
- Python Code01:01
- Coding Interview Q2 : Traverse – BFS and DFS,Big O analysis29:07
- Coding Exercise – Python: Traverse – BFS and DFS1 question
- Coding Exercise – JS: Traverse Binary Search Tree – BFS, DFS1 question
- Javascript Code17:26
- Javascript Walkthrough13:02
- Python Code00:35
Day 20: Binary Tree / Binary Search Tree Data Structures and Algorithms12 lectures • 1hr 28min
- Day 20 Goals00:43
- Coding Interview Q1: Level Order traversal04:49
- Coding Exercise – Python: Instance method, Level Order Traversal1 question
- Coding Exercise – JS: Level Order traversal1 question
- Insert method09:07
- Javascript code : Insert12:51
- Python code00:43
- Level Order Traversal Method and Big O analysis14:55
- Javascript Code – Level order traversal15:39
- Python code – Level order traversal01:25
- Coding Interview Q2: Left / Right view02:33
- Coding Exercise – Python: Left/Right view1 question
- Coding Exercise – JS: Left/Right view1 question
- Method and Big O analysis11:42
- Javascript Code09:32
- Python code03:38
Day 21: Binary Tree Data Structures and Algorithms12 lectures • 1hr 12min
- Day 21 Goals00:30
- Coding Interview Q1 : Invert Binary Tree01:20
- Iterative method and Big O analysis05:12
- Javascript: Iterative Code08:45
- Python Code: Iterative02:17
- Recursive method and Big O analysis05:06
- Javascript: Recursive code11:42
- Python Code: Recursive01:39
- Coding Interview Q2 : Diameter of Binary Tree03:36
- Method and Big O analysis16:55
- Javascript Code12:21
- Python Code02:20
Day 22: Binary Search Trees Data Structures and Algorithms9 lectures • 1hr 20min
- Day 22 Goals00:35
- Coding Interview Q1: sorted array to BST03:39
- method and Big O analysis18:21
- Javascript code17:36
- Python code01:08
- Coding Interview Q2 : Valid BST04:18
- Method and Big O analysis13:46
- Javascript Code18:34
- Python Code02:22
Day 23: Heaps and Priority Queue Data Structures and Algorithms12 lectures • 2hr 13min
- Day 23 Goals00:26
- Binary Heap: Data Structure Crash Course15:17
- Coding Interview Q1: Construct Max Binary Heap, Big O analysis18:44
- Proof of Build Binary Heap Time Complexity15:48
- Javascript Code24:31
- Javascript Code walkthrough22:25
- Python Code01:40
- Introduction to Priority Queue02:39
- Coding Interview Q2: Construct Priority Queue,Big O analysis06:33
- Javascript Code22:56
- Javascript Code Walkthrough01:10
- Python Code00:59
Day 24: Graphs Data Structures and Algorithms13 lectures • 1hr 59min
- Day 24 Goals00:28
- Coding Interview Q1: BFS, Adjacency List,Big O analysis17:45
- Javascript Code16:13
- Python Code00:36
- BFS, Adjacency Matrix13:22
- Javascript Code21:10
- Python Code00:49
- Coding Interview Q2: DFS, Recursive, Big O analysis14:43
- Javascript Code12:00
- Python Code00:51
- DFS Iterative07:47
- Javascript Code11:55
- Python Code00:55
Day 25: Graphs Data Structures and Algorithms13 lectures • 2hr 13min
- Day 25 Goals00:46
- Coding Interview Q1: Number of Components, Big O analysis14:44
- Javascript Code26:13
- Python Code01:09
- Coding Interview Q2: Course Scheduler06:25
- Brute Force Method and Big O analysis11:40
- Javascript Code – Brute Force Method17:23
- Big O – Brute Force Method05:07
- Python Code – Brute Force Method01:40
- Topological Sort based method and Big O analysis27:13
- Javascript Code09:55
- Javascript Code Walkthrough09:40
- Python Code01:13
Study techniques1 lecture • 1min
- Develop your Focus!00:09
Requirements
- Basic knowledge of Javascript or Python or any other Programming language ( things like write a loop, function etc)
Description
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:
- Discuss the optimal approach
- Explain time and space complexity
- 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)
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
