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Data Structures and Algorithms

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Bit Manipulation Final Thoughts

This concludes our course on bit manipulation.

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Improving Problem-Solving Skills in Data Structures and Algorithms.

Learn how to organize and manipulate data, and create optimized algorithms for complex problems in this lesson.

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Why Do Interviewers Focus On Data Structures and Algorithms?

Introduction Data structures and algorithms are crucial for technical interviews as they reflect a candidate's problem-solving abilities, understanding of core principles in computer science, and capability to optimize code and handle large-scale systems. Proficiency in these areas also shows adaptability to new concepts and good communication skills. You

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Understanding the Core Concepts of Data Structures and Algorithms (DSA).

Welcome to this lesson where you will gain an understanding of the fundamental concepts of data structures and algorithms.

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Achieving Efficiency and Scalability in DSA Problems.

In this lesson, you will discover techniques for enhancing efficiency and scalability on DSA.

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A Problem-Solving Approach To DSA Problems.

In this lesson, you will learn how to approach DSA problem-solving questions.

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Improving Adaptability and Learning to Solve DSA Problems.

In this lesson, you will improve adaptability and learning abilities is essential for effectively solving Data Structures and Algorithms (DSA) problems.

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Effective Technical Communication on DSA Problems

In this lesson, you will learn how to effectively communicate with your interviewer when working on a DSA problem-solving question.

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What is Big-O Complexity Analysis

In this lesson, you will gain knowledge about algorithm complexity analysis and the various types of big-O complexity analysis.

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Understanding the Importance of Big-O Notation in Coding Interviews

In this lesson, we will introduce the concept of big-o notation, a mathematical tool used to measure algorithm efficiency.

Big O Notation - Running time complexities against the input with length n