Data structures are ways of organizing and storing data to perform operations efficiently. They are a fundamental aspect of computer science and are used to manage and manipulate data in various applications. Common data structures include:

Arrays: Ordered collections of elements, each identified by an index or a key.

Linked Lists: Chains of nodes, where each node contains data and a reference to the next node.

Stacks: Last-In-First-Out (LIFO) structures where elements are added and removed from the same end.

Queues: First-In-First-Out (FIFO) structures where elements are added at one end and removed from the other.

Trees: Hierarchical structures with a root node and child nodes.

Graphs: Collections of nodes and edges that connect pairs of nodes.

Algorithms: Algorithms are step-by-step procedures or formulas for solving problems and performing computations. They define the logic for manipulating data stored in data structures. Common algorithms include:

Sorting Algorithms:

• Bubble Sort: Repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
• Quick Sort: Divides the array into smaller segments and recursively sorts them.

Searching Algorithms:

• Linear Search: Sequentially checks each element in a list until a match is found.
• Binary Search: Divides a sorted array in half to find a particular element more efficiently.

Graph Algorithms:

• Breadth-First Search (BFS): Explores all the vertices of a graph level by level.
• Depth-First Search (DFS): Explores as far as possible along each branch before backtracking.

Dynamic Programming:

• Fibonacci Sequence using Memoization: Stores previously computed results to avoid redundant calculations.

In this course, we will cover everything that you need to know about data science.