Easy to Advanced Data Structures. There is a wide range of data structures that can be used in programming. Some are easy to use, while others are more advanced. It is important to find the right data structure for the task at hand, as some can be more difficult to use than others. Some easy to use data structures include linked lists, arrays, and hash tables. These structures are easy to understand and use, making them a good choice for beginners. More advanced data structures include trees and graphs. These structures can be more difficult to use, but can offer more flexibility in how data is organized.
It is important to choose the right data structure for the task at hand. Some are more difficult to use, but offer more flexibility in how data is organized.
Rows and columns in a table are easy to understand and use. A row is a collection of data that is listed in the order that it was entered into the table. A column is a location in a table where data can be stored. Tables are organized into rows and columns, which makes it easy to find information.
Hash tables are another easy to use data structure. A hash table is similar to a row-based table, but each row in a hash table contains an identifier for the row, as well as the data for that row. The data for each row is hashed based on the identifier, which makes it easy to find data.
- A mature understanding of data structures
- Algorithms associated with data structures
- Dynamic arrays
- Singly and doubly linked list
- Queues & Stacks
- Binary Trees and Binary search trees
- Heaps & Priority queues
- Union find/Disjoint set
- Hash table/Associative array
- Fenwick tree/Binary indexed tree
Easy to Advanced Data Structures Course Requirements
- Basic computer science knowledge
Easy to Advanced Data Structures Description
Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures.
Learn and master the most common data structures in this comprehensive course:
- Static and dynamic arrays
- Singly and doubly linked lists
- Heaps/Priority Queues
- Binary Trees/Binary Search Trees
- Union find/Disjoint Set
- Hash tables
- Fenwick trees
- AVL trees
- Binary Indexed trees
- Sparse tables
This course provides you with high quality animated videos explaining a multitude of data structures and how they are represented visually. You will learn how to code various data structures together with simple to follow step-by-step instructions. Every data structure presented will be accompanied by some working source code (in Java) to solidify your understanding of that particular data structure. I will also be posting various coding exercises and multiple choice questions to ensure that you get some hands on experience.
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Who this course is for:
- Individuals hungry for new knowledge
- Students who want a fundamental understanding of data structures
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