Learn System Design, Data Structures & Algorithms (DSA)

 System Design, Data Structures & Algorithms (DSA)

This Course Includes:

• Video Lectures: Comprehensive video lectures covering both theory and practical applications, structured to build from foundational concepts to advanced topics.
• Interactive Coding Exercises: Hands-on exercises and challenges to practice coding skills and apply theoretical knowledge.
• Quizzes: Periodic quizzes to test understanding and reinforce learning.
• Case Studies: In-depth analysis of real-world system design problems, providing practical insights into how concepts are applied in industry.
• Community Forum: A platform for students to engage with peers and instructors, ask questions, and collaborate on projects.
• Capstone Project: A final project that integrates all course concepts, requiring students to design and implement a complete system.
• Downloadable Resources: Access to lecture notes, example code, and additional reading materials.
• Certificate of Completion: A certificate to recognize the successful completion of the course.

What You'll Learn:

1. Core Data Structures:

• Arrays: Basic operations, advantages, and limitations.
• Linked Lists: Single and doubly linked lists, operations, and use cases.
• Stacks: LIFO principle, stack operations, and applications.
• Queues: FIFO principle, queue operations, and types (simple, circular, priority).

2. Advanced Data Structures:

• Trees:
• Binary Trees: Structure, traversal techniques (preorder, inorder, postorder).
• Binary Search Trees (BST): Properties, operations (insert, delete, search).
• AVL Trees: Self-balancing BSTs, rotations for maintaining balance.
• Heaps: Min-heap, max-heap, heap operations, and heap sort.
• Graphs:
• Representation: Adjacency matrix, adjacency list.
• Traversal Algorithms: Breadth-First Search (BFS), Depth-First Search (DFS).
• Shortest Path Algorithms: Dijkstra's algorithm, Floyd-Warshall algorithm.
• Hashing:
• Hash Tables: Structure, hash functions, and hash table operations.
• Collision Resolution: Techniques such as chaining and open addressing.

3. Fundamental Algorithms:

•  Sorting Algorithms:
• Simple sorts: Bubble sort, selection sort, insertion sort.
• Efficient sorts: Merge sort, quicksort, heap sort.
• Searching Algorithms:
• Linear Search: Basic search technique, time complexity.
• Binary Search: Efficient search in sorted arrays, implementation, and complexity.
• Dynamic Programming:
• Principles: Overlapping subproblems, optimal substructure.
• Techniques: Memoization, tabulation.
• Common Problems: Knapsack problem, Longest Common Subsequence (LCS).

4. System Design Basics:

• Introduction to System Design:
• Understanding requirements, high-level vs. low-level design.
• Performance and Scalability:
• Load Balancing: Techniques for distributing workloads across multiple servers.
• Caching: Improving performance with data caching strategies.
• Database Scaling: Techniques such as sharding, replication.
• Design Patterns:
• Common Patterns: Singleton, Factory, Observer, MVC (Model-View-Controller).
• Application in System Design: How and when to use these patterns.

5. System Design Case Studies:

• Case Study 1: Designing a URL Shortener
• Case Study 2: Designing a Social Media Platform
• Case Study 3: Designing an E-commerce System

1. Capstone Project:

• Project Scope: Students choose a comprehensive project that encompasses all the learned concepts.
• Project Phases:
• Requirement Analysis: Defining the problem and system requirements.
• High-Level Design: Creating architecture diagrams and defining system components.
• Low-Level Design: Detailed design of each component, data modeling.
• Implementation: Coding the system, integrating components.
• Testing and Evaluation: Ensuring functionality, performance, and scalability.

Description:

This comprehensive course covers the essentials of system design and data structures & algorithms (DSA). It starts with basic data structures, advancing to complex algorithms, and integrates these concepts into the broader context of system design.

Through detailed lectures, practical exercises, and real-world case studies, you will learn how to build efficient, scalable systems. The course culminates in a capstone project, providing a hands-on opportunity to apply what you've learned.

Why Should You Take This Course?

• Career Advancement: Mastering system design and DSA is crucial for excelling in technical interviews and securing roles at top tech companies.
• Comprehensive Curriculum: The course provides a thorough grounding in both theoretical concepts and practical applications.
• Expert Instruction: Learn from industry professionals with extensive experience in system design and algorithm development.
• Hands-On Learning: Engage with practical exercises, real-world case studies, and a capstone project to apply your knowledge.
• Community Support: Benefit from a supportive learning environment with access to peer and instructor assistance.

There Are a Ton of Open Jobs:

This comprehensive course covers the essentials of system design and data structures & algorithms (DSA). It starts with basic data structures, advancing to complex algorithms, and integrates these concepts into the broader context of system design. Through detailed lectures, practical exercises, and real-world case studies, you will learn how to build efficient, scalable systems. The course culminates in a capstone project, providing a hands-on opportunity to apply what you've learned.

• Software Engineer
• Systems Architect
• Backend Developer
• Data Engineer
• Algorithm Engineer

Who This Course Is For:

• Aspiring Software Engineers: Those looking to break into the tech industry and excel in technical interviews.
• Current Professionals: Software developers and engineers wanting to advance their knowledge and career prospects.
• Computer Science Students: University students seeking to deepen their understanding of system design and algorithms.
• Tech Enthusiasts: Individuals with a passion for learning about efficient, scalable system design and problem-solving with data structures and algorithms.

This course is structured to benefit anyone with basic programming knowledge, whether you're starting your career or looking to enhance your skills for more advanced roles.

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