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Algorithms and Data Structures Overview | Codefinity
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Algorithms and Data Structures Overview

Algorithms and Data Structures Overview

The understanding of data structures and algorithms: this is what sets advanced professionals apart from the rest. In the modern world of growing data, it is very important to be able to process large amounts of data efficiently. In this course, you will study the most basic data structures that help us to deal with huge amounts of data as well as implement the most basic and crucial concepts on your own so you’ll get a deeper understanding of how each data structure works and you'll be able to decide what data structure best suited for your task.

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23 chapters
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What you will learn
  • Understand the core concepts of data structures and their necessity in managing large datasets.
  • Grasp the fundamentals of algorithms, including how to analyze and gauge their complexity using Big-O notation.
  • Recognize different data structures like arrays, linked lists, stacks, queues, and hash tables along with their operation complexities.
  • Explore graphs, binary search trees (BSTs), and techniques to traverse these structures efficiently.
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There are 6 modules in this course

The understanding of data structures and algorithms: this is what sets advanced professionals apart from the rest. In the modern world of growing data, it is very important to be able to process large amounts of data efficiently. In this course, you will study the most basic data structures that help us to deal with huge amounts of data as well as implement the most basic and crucial concepts on your own so you’ll get a deeper understanding of how each data structure works and you'll be able to decide what data structure best suited for your task.
When we start learning something new, it is very important to get familiar with the subject of our study first. So let's dive deeper into what we will learn about in this course.
Arrays and lists serve as foundational data structures in programming, with Python employing them extensively. This section provides an overview of these structures, delving into their concepts and highlighting their implementation nuances within the Python programming language.
There are many applied tasks in which it is necessary to operate with large amounts of structured data and simple data structures such as an array or a linked list may no longer be enough for these purposes. In this section, we'll look at the concept of an abstract data type and how different ADTs allow us to efficiently manage large amounts of data.
In the real world, one often has to deal with tasks in which it is necessary to model complex dependencies between various nodes of a system or domain. Graphs can help us with this. In this section, we will learn what a graph is and how to represent it in computer memory efficiently.

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My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer.  I love the learning style that is used, it engages me.

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