4.5
Beginner
35h
Updated 1 month ago
Data Structures for Coding Interviews in Java
The ultimate guide to data structures for coding interviews, developed by FAANG engineers. Practice with interview questions from top companies. Get interview-ready in just a few hours.
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Data structures are amongst the fundamentals of Computer Science and an important decision in every program. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in Java to allow readers to become well equipped.
Now with more code solutions, lessons, and illustrations than ever, this is the course for you!
Data structures are amongst the fundamentals of Computer Science and an important decision in every program. Consequently, they ...Show More
TAKEAWAY SKILLS
Content
1.
Complexity Measures
22 Lessons
Sharpen your skills in measuring and evaluating time and space complexities of algorithms.
Comparing AlgorithmsExample: Measuring Time Complexity of a Single Loop AlgorithmExample: Time Complexity of an Algorithm With Nested LoopsIntroduction to Asymptotic Analysis and Big OOther Common Asymptotic Notations and Why Big O Trumps ThemUseful FormulaeCommon Complexity ScenariosChallenge: Big (O) of Nested Loop with AdditionSolution: Big O of a Nested Loop with AdditionChallenge: Big (O) of Nested Loop with SubtractionSolution: Big O of a Nested Loop with SubtractionChallenge: Big O of Nested Loop with MultiplicationSolution: Big O of Nested Loop with MultiplicationChallenge: Nested Loop with Multiplication (Basic)Solution: Nested Loop with Multiplication (Basic)Challenge: Nested Loop with Multiplication (Intermediate)Solution: Nested Loop with Multiplication (Intermediate)Challenge: Nested Loop with Multiplication (Advanced)Solution: Nested Loop with Multiplication (Advanced)Challenge: Nested Loop with Multiplication (Pro)Solution: Nested Loop with Multiplication (Pro)Complexity Interview Questions
2.
Arrays
26 Lessons
Get started with arrays, lists essentials, and solving various array manipulation challenges.
What is an Array?Two Dimensional ArraysWhat Is a List?Challenge: Remove Even Integers From ArraySolution: Remove Even Integers From ArrayChallenge: Merge Two Sorted ArraysSolution: Merge Two Sorted ArraysChallenge: Find Two Numbers That Add Up to KSolution: Find Two Numbers That Add Up to KChallenge: Product of Array Except SelfSolution: Product of Array Except SelfChallenge: Find Minimum Value in ArraySolution: Find Minimum Value in ArrayChallenge: First Non-Repeating Integer in an ArraySolution: First Non-Repeating Integer in an ArrayChallenge: Find Second Maximum Value in an ArraySolution: Find Second Maximum Value in an ArrayChallenge: Rotate ArraySolution: Rotate ArrayChallenge: Rearrange Positive & Negative ValuesSolution: Rearrange Positive & Negative ValuesChallenge: Rearrange Sorted Array in Max/Min FormSolution: Rearrange Sorted Array in Max/Min FormChallenge: Maximum SubarraySolution: Maximum SubarrayArray Interview Questions
3.
Linked Lists
31 Lessons
Examine linked list operations, including insertion, deletion, traversal, and efficiency comparisons.
4.
Stack/Queues
25 Lessons
Grasp the fundamentals of stacks and queues, their implementations, and common challenges.
5.
Graphs
25 Lessons
Dig into the concepts, representation, and operations of various graph types and traversal algorithms.
6.
Trees
38 Lessons
Investigate tree types, structures, operations, and problems for efficient coding with trees.
7.
Trie (Advanced Trees)
14 Lessons
Master the steps to construct and utilize Tries for efficient string storage and retrieval.
8.
Heaps
14 Lessons
Step through the concepts and applications of heaps, their operations, and transformations.
9.
Hash Tables
33 Lessons
Grasp the essentials and practical implementations of hash tables, tackling collisions, and solving challenges using hashing in Java.
10.
Summary of Data Structures
2 Lessons
Go hands-on with linear and non-linear data structures for coding efficiencies.
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