DSA Tutorial
Table of Contents + β
Welcome to the Free Data Structures and Algorithms (DSA) course! We are going to learn everything about DSA from scratch with clear explanations and code examples. Letβs look at what these tutorials are all about.
π Tutorial Overview
This complete tutorial series takes you from zero to hero in data structures and algorithms. Each section builds on what you learned before, so follow along in order for the best results.
You will find these tutorials very different from other DSA tutorials available online.
Whats best about these tutorials?
- Clear Explanations: Each concept is explained in simple terms with real-world analogies to make learning easy.
- Code Examples: Every data structure and algorithm is explained with code examples in multiple programming languages.
- Function Based Approach: We focus on building reusable functions for each operation, making it easy to understand and implement. Also in real world, only functions are used to perform operations on data structures.
What you need to know
No prior knowledge of data structures or algorithms is required. A basic understanding of programming concepts and at least one programming language (like Python, Java, C++, or JavaScript) will be helpful.
π― What Youβll Learn
We will categorize the tutorials into below main sections:
Introduction to DSA
- What are Data Structures and Algorithms?
- Why are they important?
- Types of Data Structures
- Types of Algorithms
- Setting up your coding environment
Time and Space Complexity Analysis
- Big O Notation
- Analyzing time complexity of algorithms
- Analyzing space complexity of algorithms
- Common time complexities (O(1), O(n), O(log n), O(n^2), etc.)
Arrays
- Introduction to Arrays
- Array operations (insertion, deletion, traversal)
- Multi-dimensional arrays