Dive into the world of Big Tech with our comprehensive course, 'FAANG Ready: Master Data Structures & Algorithms with TechLearn India'.
Gain the essential skills and knowledge needed to crack the FAANG interview process, led by industry experts.
From mastering data structures to tackling complex algorithms, this course equips you with the tools to succeed in the competitive tech landscape.
- Understanding the importance of Data Structures and Algorithms in software development.
- Overview of common data structures (arrays, linked lists, stacks, queues, trees, graphs) and algorithms (searching, sorting, recursion, dynamic programming).
- Introduction to programming concepts using a familiar language like Python.
- Solving basic problems involving loops, conditionals, and functions.
- Introduction to problem-solving strategies and techniques.
- Understanding arrays and strings, their representation, and manipulation.
- Implementing basic array and string operations.
- Solving problems involving arrays and strings, such as array manipulation, string matching, and substring search.
- Introduction to linked lists and stacks, their implementation, and applications.
- Implementing basic operations on linked lists and stacks.
- Solving problems involving linked lists and stacks, such as reversing linked lists, evaluating postfix expressions, and implementing stack-based algorithms.
- Understanding queues and recursion, their characteristics, and applications.
- Implementing basic operations on queues and recursive algorithms.
- Solving problems involving queues and recursion, such as implementing queue-based data structures and recursive functions.
- Introduction to trees and binary trees, their properties, and traversal algorithms.
- Understanding binary search trees (BST) and their operations.
- Implementing basic tree operations and BST algorithms.
- Solving problems involving trees and BST, such as tree traversal, searching, insertion, and deletion.
- Understanding graphs and their representations.
- Introduction to graph traversal algorithms (BFS, DFS) and their applications.
- Implementing basic graph operations and algorithms.
- Solving problems involving graphs, such as shortest path algorithms, graph traversal, and connectivity.
- Introduction to advanced data structures like heaps, hash tables, and balanced trees.
- Understanding their implementation and applications in solving complex problems.
- Solving advanced problems using these data structures.
- Understanding dynamic programming principles and techniques.
- Solving problems using dynamic programming approach.
- Implementing dynamic programming solutions for various problems.
- Introduction to advanced algorithms like greedy algorithms, divide and conquer, and backtracking.
- Understanding their implementation and applications in solving complex problems.
- Solving advanced problems using these algorithms.
- Recap of problem-solving techniques learned throughout the course.
- Practicing problem-solving skills through a series of coding challenges and competitions.
- Reviewing and discussing solutions to common and challenging problems.
Introduce more operations commonly used with arrays and strings, such as finding the maximum or minimum element in an array, sorting arrays, splitting and joining strings, etc.
Introduce the concept of time complexity and space complexity, and analyze the time and space complexity of various array and string operations. This will help students understand the efficiency of different algorithms and make informed decisions when solving problems.
Cover more advanced string manipulation techniques such as regular expressions, formatting strings, string interpolation, and handling unicode characters. These are valuable skills for text processing and data manipulation tasks.
Introduce common algorithms and techniques used to solve problems involving arrays and strings, such as two-pointer technique, sliding window technique, hashing, and prefix sums. Provide examples and exercises for students to practice implementing these algorithms.
Cover string matching algorithms such as naive string matching, Knuth-Morris-Pratt (KMP) algorithm, and Boyer-Moore algorithm. These algorithms are used to search for a substring within a larger string efficiently.
Discuss real-world applications of arrays and strings in software development, such as parsing data from files, processing input from users, implementing data structures like stacks and queues, etc.
- Introduction to advanced data structures like heaps, hash tables, and balanced trees.
- Understanding their implementation and applications in solving complex problems.
- Solving advanced problems using these data structures.
In this week, we'll explore dynamic programming principles and techniques, solve problems using the dynamic programming approach, and implement dynamic programming solutions for various problems.
- Understanding dynamic programming principles and techniques.
- Solving problems using dynamic programming approach.
- Implementing dynamic programming solutions for various problems.
In Week 9, we'll delve into advanced algorithms such as greedy algorithms, divide and conquer, and backtracking. Let's explore each of these concepts in detail with code snippets and explanations.
In Week 10, we'll focus on refining problem-solving techniques learned throughout the course, practicing problem-solving skills through coding challenges and competitions, and reviewing solutions to common and challenging problems.
🚀 Welcome to the "Algorithmic Proficiency Challenge: Mastering Techniques from Week 1 to Week 10"! 🌟
This comprehensive quiz is designed to test your proficiency in various problem-solving techniques covered throughout our course.
From fundamental programming concepts to advanced algorithms, this quiz will challenge your understanding and application of topics spanning from basic loops and conditionals to dynamic programming, graph algorithms, and more.
Sharpen your problem-solving skills and put your knowledge to the test with this comprehensive assessment covering a wide range of algorithmic concepts. Are you ready to take on the challenge and demonstrate your mastery of algorithmic problem-solving?
Let's get started! 🎯