Data Structures And Algorithms Simplified Bootcamp
Published 10/2024
Created by Bonaventure Ogeto
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB
Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms
What you'll learn
Understand and implement common data structures like arrays, linked lists, stacks, and queues.
Learn various searching and sorting algorithms, including linear search, binary search, and quicksort.
Apply key concepts of algorithms to solve real-world problems efficiently.
Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges.
Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems.
Requirements
No prior experience in data structures and algorithms is required. This course is beginner-friendly.
Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory.
A computer and internet connection to follow along with coding exercises and quizzes.
Willingness to solve problems and practice consistently
Description
Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learn
Who this course is for
Beginners in programming who want to build a strong foundation in data structures and algorithms.
Developers preparing for coding interviews or technical assessments for software engineering roles.
Students or professionals who want a refresher in data structures and algorithms for career advancement.
Anyone interested in improving problem-solving skills and optimizing code performance.
Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems.
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