The Complete Data Structures and Algorithms Course in Python — Course Overview & Key Highlights
⭐ Course introduction
The Complete Data Structures and Algorithms Course in Python is a comprehensive, interview-focused bootcamp designed to help learners master DSA using Python and confidently tackle FAANG-level coding interviews.
Updated for 2025, this course combines clear theory, animated explanations, and 100+ real interview questions to build deep understanding and fast problem-solving skills. It’s ideal for developers who want to strengthen computer science fundamentals, improve coding logic, and prepare for high-paying technical roles.
Course details
- Instructor: Elshad Karimov
- Language: English
- Duration: ~44.5 hours (46h 32m total)
- Rating: ★4.6 / 5
- Learners: 97,678+
- Price (typical sale): ~US$8–15 (varies by Udemy promotions)
- Access: Full lifetime access (mobile + TV)
- Certificate: Udemy Certificate of Completion included
Key highlights
- Complete Data Structures & Algorithms course in Python
- 100+ DSA interview questions with step-by-step explanations
- Animated visuals for faster and deeper understanding
- Strong focus on Big O, time & space complexity
- Covers recursion, searching, sorting, and advanced algorithms
- Designed specifically for coding interviews and FAANG prep
- Includes coding exercises, practice tests, and downloadable resources
What you will learn
Data Structures
- Arrays, Lists, Stacks, and Queues
- Hash Tables and Dictionaries
- Linked Lists (Singly & Doubly)
- Trees and Binary Search Trees
- Heaps and Priority Queues
- Graphs and Graph Traversals
Algorithms
- Searching and Sorting Algorithms
- Recursion and Backtracking
- Greedy Algorithms
- Divide and Conquer techniques
- Dynamic Programming basics
- Graph algorithms (BFS, DFS)
Core Computer Science Concepts
- Time and Space Complexity
- Big O notation explained clearly
- Choosing the right data structure for a problem
- Writing optimized and readable Python code
Interview Preparation
- 100+ real interview-style questions
- Problem-solving strategies for FAANG interviews
- Step-by-step breakdown of solutions
- How to approach and explain solutions in interviews
Frequently asked questions (FAQ)
Q — Is this course suitable for beginners?
A — You should have basic Python programming knowledge before starting.
Q — Is this course good for FAANG interview preparation?
A — Yes. It focuses heavily on interview-style DSA problems with clear explanations.
Q — Does the course explain Big O and complexity clearly?
A — Yes. Time and space complexity are covered in depth with examples.
Q — Are there hands-on exercises?
A — Yes. The course includes 100+ coding exercises, practice tests, and assignments.
Q — Will I get a certificate?
A — Yes. You receive a Udemy Certificate of Completion.
Why this course is worth it
This course doesn’t just show solutions — it explains how and why algorithms work. The combination of animated explanations, real interview questions, and Python-based implementations makes it especially valuable for learners preparing for technical interviews.
Final verdict
If your goal is to crack coding interviews, strengthen your DSA foundations, and think like a problem-solver, this course is a solid choice. It’s structured, detailed, and built with interview success in mind.
