Oracle Interview Questions – Data Structures & Algorithms
Oracle Interview Questions – Data Structures & Algorithms, available at $19.99, has an average rating of 5, with 80 lectures, based on 2 reviews, and has 16 subscribers.
You will learn about Software Developers Preparing for Oracle Coding Interviews Developers who want to work as software developers at Oracle Software developers who want to practice Leetcode questions asked in Oracle Interviews Software developers who want to practice Leetcode problems in Java, Javascript, C++ or Python languages. This course is ideal for individuals who are This course is for software developers and students who want to practice for coding interviews at Oracle It is particularly useful for This course is for software developers and students who want to practice for coding interviews at Oracle.
Enroll now: Oracle Interview Questions – Data Structures & Algorithms
Summary
Title: Oracle Interview Questions – Data Structures & Algorithms
Price: $19.99
Average Rating: 5
Number of Lectures: 80
Number of Published Lectures: 72
Number of Curriculum Items: 80
Number of Published Curriculum Objects: 72
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Software Developers Preparing for Oracle Coding Interviews
- Developers who want to work as software developers at Oracle
- Software developers who want to practice Leetcode questions asked in Oracle Interviews
- Software developers who want to practice Leetcode problems in Java, Javascript, C++ or Python languages.
Who Should Attend
- This course is for software developers and students who want to practice for coding interviews at Oracle
Target Audiences
- This course is for software developers and students who want to practice for coding interviews at Oracle
Are you eager to join the ranks of skilled software engineers at Oracle? Prepare thoroughly and excel in your Oracle coding interviews with confidence by enrolling in my comprehensive course. This course is carefully crafted to empower you to tackle the top problems commonly presented during Oracle interview rounds.
What You’ll Learn:
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Top Oracle Interview Problems: In this course, I’ve meticulously curated a collection of the most frequently asked coding problems in Oracle interviews. This ensures that you are well-prepared to tackle any coding challenge that comes your way.
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Step-by-Step Video Solutions: Through my detailed video solutions, you will be guided through each problem, step by step. You’ll gain insight into the entire problem-solving process, from understanding the problem’s intricacies to crafting clean and efficient code. In these video solutions, I code live, allowing you to follow along and develop a deep understanding of the thought process.
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Multiple Programming Languages: I understand that candidates have diverse language preferences. Consequently, I provide video solutions in four prominent programming languages: Java, C++, Python, and JavaScript. Choose the language you are most comfortable with and master these problems with ease.
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Downloadable Code Files: Alongside video solutions, I offer downloadable code files for every problem. This feature allows you to delve deeper into the code, analyze it at your own pace, and enhance your comprehension of each solution.
Why Choose My Course:
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Expert Guidance: Learn from an experienced software engineer with a stellar track record in acing Oracle coding interviews. Benefit from my insights, strategies, and effective problem-solving techniques honed through years of experience.
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Comprehensive Coverage: I leave no stone unturned. My course comprehensively covers a wide spectrum of data structure problems that frequently appear in Oracle interviews, ensuring you receive a well-rounded and thorough preparation.
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Multilingual Support: My course is accessible to learners worldwide, as I provide video solutions in four different languages. This flexibility ensures that you can comfortably understand and implement solutions in your preferred programming language.
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Lifetime Access: Enroll once, and enjoy lifetime access to all course materials and updates. Stay well-prepared not only for your current interviews but also for future ones.
Course Curriculum
Chapter 1: Best Time To Buy And Sell A Stock – Array
Lecture 1: Best Time To Buy And Sell A Stock – Java Solution
Lecture 2: Best Time To Buy And Sell A Stock – Javascript Solution
Lecture 3: Best Time To Buy And Sell A Stock – C++ Solution
Lecture 4: Best Time To Buy And Sell A Stock – Python Solution
Chapter 2: Maximum Sum Subarray – Arrays
Lecture 1: Maximum Sum Subarray – Java Solution
Lecture 2: Maximum Sum Subarray – Javascript Solution
Lecture 3: Maximum Sum Subarray – C++ Solution
Lecture 4: Maximum Sum Subarray – Python Solution
Chapter 3: Jump Game – Arrays
Lecture 1: Jump Game – Java Solution
Lecture 2: Jump Game – Javascript Solution
Lecture 3: Jump Game – C++ Solution
Lecture 4: Jump Game – Python Solution
Chapter 4: Product Of Array Except Self – Arrays
Lecture 1: Product Of Array Except Self – Java Solution
Lecture 2: Product Of Array Except Self – Javascript Solution
Lecture 3: Product Of Array Except Self – C++ Solution
Lecture 4: Product Of Array Except Self – Python Solution
Chapter 5: Trapping Rain Water – Arrays
Lecture 1: Trapping Rain Water – Java Solution
Lecture 2: Trapping Rain Water – Javascript Solution
Lecture 3: Trapping Rain Water – C++ Solution
Lecture 4: Trapping Rain Water – Python Solution
Chapter 6: Group Anagrams – Sorting
Lecture 1: Group Anagrams – Java Solution
Lecture 2: Group Anagrams – Javascript Solution
Lecture 3: Group Anagrams – C++ Solution
Lecture 4: Group Anagrams – Python Solution
Chapter 7: Longest Substring Without Repeating Characters – Sliding Window Method
Lecture 1: Longest Substring Without Repeating Characters – Java Solution
Lecture 2: Longest Substring Without Repeating Characters – Javascript Solution
Lecture 3: Longest Substring Without Repeating Characters – C++ Solution
Lecture 4: Longest Substring Without Repeating Characters – Python Solution
Chapter 8: Intersection Of Two Linked Lists – Linked List
Lecture 1: Intersection Of Two Linked Lists – Java Solution
Lecture 2: Intersection Of Two Linked Lists – Javascript Solution
Lecture 3: Intersection Of Two Linked Lists – C++ Solution
Lecture 4: Intersection Of Two Linked Lists – Python Solution
Chapter 9: Linked List Cycle – Linked List
Lecture 1: Linked List Cycle – Java Solution
Lecture 2: Linked List Cycle – Javascript Solution
Lecture 3: Linked List Cycle – C++ Solution
Lecture 4: Linked List Cycle – Python Solution
Chapter 10: Valid Paranthesis – Stacks
Lecture 1: Valid Paranthesis – Java Solution
Lecture 2: Valid Paranthesis – Javascript Solution
Lecture 3: Valid Paranthesis – C++ Solution
Lecture 4: Valid Paranthesis – Python Solution
Chapter 11: Merge Intervals – Stacks
Lecture 1: Merge Intervals – Java Solution
Lecture 2: Merge Intervals – Javascript Solution
Lecture 3: Merge Intervals – C++ Solution
Lecture 4: Merge Intervals – Python Solution
Chapter 12: Two Sum – Hash Table
Lecture 1: Two Sum – Java Solution
Lecture 2: Two Sum – Javascript Solution
Lecture 3: Two Sum – C++ Solution
Lecture 4: Two Sum – Python Solution
Chapter 13: Binary Tree Level Order Traversal – Binary Trees
Lecture 1: Binary Tree Level Order Traversal – Java Solution
Lecture 2: Binary Tree Level Order Traversal – Javascript Solution
Lecture 3: Binary Tree Level Order Traversal – C++ Solution
Lecture 4: Binary Tree Level Order Traversal – Python Solution
Chapter 14: Kth Largest Element In An Array – Heaps
Lecture 1: Kth Largest Element In An Array – Java Solution
Lecture 2: Kth Largest Element In An Array – Javascript Solution
Lecture 3: Kth Largest Element In An Array – C++ Solution
Lecture 4: Kth Largest Element In An Array – Python Solution
Chapter 15: Climbing Stairs – Dynamic Programming
Lecture 1: Climbing Stairs – Java Solution
Lecture 2: Climbing Stairs – Javascript Solution
Lecture 3: Climbing Stairs – C++ Solution
Lecture 4: Climbing Stairs – Python Solution
Chapter 16: Longest Increasing Subsequence – Dynamic Programming
Lecture 1: Longest Increasing Subsequence – Java Solution
Lecture 2: Longest Increasing Subsequence – Javascript Solution
Lecture 3: Longest Increasing Subsequence – C++ Solution
Lecture 4: Longest Increasing Subsequence – Python Solution
Chapter 17: Number Of Islands – Graph Traversal
Lecture 1: Number Of Islands – Java Solution
Lecture 2: Number Of Islands – Javascript Solution
Lecture 3: Number Of Islands – C++ Solution
Lecture 4: Number Of Islands – Python Solution
Chapter 18: Subsets – Backtracking
Lecture 1: Subsets – Java Solution
Lecture 2: Subsets – Javascript Solution
Lecture 3: Subsets – C++ Solution
Lecture 4: Subsets – Python Solution
Instructors
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Pratik Singhal
Senior Software Engineer @ Amazon
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- 5 stars: 2 votes
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