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Data Structures and Algorithms Simplified Bootcamp

Category: Courses / Others
Author: AD-TEAM
Date added: 16.11.2024 :23:26
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Description material

Data Structures and Algorithms Simplified Bootcamp
Data Structures and Algorithms Simplified Bootcamp
Published 10/2024
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, jаvascript, 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:Data Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules—make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon—just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time.

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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