[100% Off] Data Structures &Amp; Algorithm Interview Question Practice Test
Ace your coding interviews! Master Big O, Arrays, Trees, Graphs, Sorting & Searching Algorithms from scratch.
What you’ll learn
- Understand the fundamental concepts of programming
- such as variables
- data types
- and loops.
- Write and execute your own Python scripts to solve practical problems.
- Work with core Python data structures like lists
- dictionaries
- and tuples
- Gain the foundational knowledge needed to explore advanced topics like web development or data science.
Requirements
- No programming experience is needed! This course is designed for absolute beginners. Access to a computer (Windows
- Mac
- or Linux) with an internet connection. A positive attitude and a desire to learn how to code.
Description
Are you ready to take your programming skills to the next level and ace those challenging technical interviews? Do you want to write more efficient, optimized, and scalable code? Welcome to Data Structures & Algorithms: The Complete Guide, the only course you need to master the fundamental building blocks of modern software development.
This course is designed to be a comprehensive, hands-on journey that takes you from the absolute basics of algorithm analysis to advanced data structures. We believe in learning by doing, so every concept is explained with clear visualizations and is followed by practical coding exercises to solidify your understanding.
What you will master in this course:
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Big O Notation: Learn how to analyze the performance of algorithms and understand time and space complexity from the ground up.
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Core Data Structures: We will dive deep into a wide range of essential data structures, including:
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Arrays & Lists
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Stacks & Queues
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Linked Lists (Singly, Doubly, Circular)
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Hash Tables
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Trees (Binary Search Trees, AVL Trees)
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Heaps
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Tries
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Graphs
-
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Essential Algorithms: You will learn, implement, and understand the trade-offs of critical algorithms, such as:
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Sorting algorithms (Bubble, Selection, Merge, Quick Sort)
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Searching algorithms (Linear, Binary Search)
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Graph traversal algorithms (Breadth-First Search, Depth-First Search)
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Recursion
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This course is perfect for students preparing for technical interviews at companies like Google, Meta, Amazon, and Microsoft, as well as for software developers who want to strengthen their foundational computer science knowledge.
By the end of this course, you won’t just know what these data structures are; you will understand why they work, how to implement them, and when to use each one to solve real-world problems.
Enroll today and start your journey to becoming a more confident and proficient programmer!








