Intro to Data Structures and Algorithms

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This course will introduce you to common data structures and algorithms in Python. You'll review frequently-asked technical interview questions and learn how to structure your responses.

The Course Syllabus:

1. Introduction and Efficiency
   • Course Introduction
   • Syntax
   • Efficiency
   • Notation of Efficiency
2. List-Based Collections
   • Lists/Arrays
   • Linked Lists
   • Stacks
   • Queues
3. Searching and Sorting
   • Binary Search
   • Recursion
   • Bubble Sort
   • Merge Sort
   • Quick Sort
4. Maps and Hashing
   • Maps
   • Hashing
   • Collisions
   • Hashing Conventions
5. Trees
   • Trees
   • Tree Traversal
   • Binary Trees
   • Binary Search Trees
   • Heaps
   • Self-Balancing Trees
6. Graphs
   • Graphs
   • Graph Properties
   • Graph Representation
   • Graph Traversal
   • Graph Paths
7. Case Studies in Algorithms
   • Shortest Path Problem
   • Knapsack Problem
   • Traveling Salesman Problem
8. Technical Interview Tips
   • Mock Interview Breakdown
   • Additional Tips
   • Practice with Pramp
   • Next Steps