Data structures and Algorithm (DSA) for Tech Interviews — 93% OFF Discount Coupon

Foundation of python, whiteboard style explanation, code solution and leetcode problems included.

★4.6 out of 5
2,932 students
Created by Hitesh Choudhary, Priya Bhatia
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Data structures and Algorithm (DSA) for Tech Interviews before you enroll:

•Course Name: Data structures and Algorithm (DSA) for Tech Interviews
•Platform: Udemy
•Instructor: Hitesh Choudhary, Priya Bhatia
•Coupon Last Verified: May 8, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Data Structures
•Total Time: 52h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Analyze and implement data structures and algorithms using Python · Understand time and space complexity to write efficient code. · Solve real-world and FAANG-level coding interview problems.
•Requirements: No prior programming experience is required, this course starts from absolute basics. · A computer (Windows, macOS, or Linux) with internet access.
•Current Price: $9.99 (was $149.99). You save $140.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Data structures and Algorithm (DSA) for Tech Interviews, you'll have these practical skills:

✓Analyze and implement data structures and algorithms using Python .
✓Understand time and space complexity to write efficient code. .
✓Solve real-world and FAANG-level coding interview problems. .
✓Build strong problem-solving and algorithmic thinking skills. .
✓Master recursion, sorting, graphs, trees, and dynamic programming.

What You Need Before Starting

Before enrolling in Data structures and Algorithm (DSA) for Tech Interviews, make sure you have:

•No prior programming experience is required, this course starts from absolute basics.
•A computer (Windows, macOS, or Linux) with internet access.
•Python installed on your system (we’ll guide you through setup).
•A willingness to learn, practice, and think logically — consistency matters more than experience.

About This Udemy Course

The following is the full official course description for Data structures and Algorithm (DSA) for Tech Interviews as published on Udemy by instructor Hitesh Choudhary, Priya Bhatia:

Data Structures and Algorithms in Python - The Most Complete and Practical Guide for tech interviews.

Learning Data Structures and Algorithms (DSA) is one of the most defining steps in your programming journey. It separates a good programmer from a great one, a developer who can write code from one who can architect solutions. This course is designed for exactly that transformation - from simply writing Python code to thinking algorithmically and solving problems like a computer scientist.

This is not a crash course. It is a 51+ hour, deeply structured, and meticulously designed learning experience that takes you from the very fundamentals of Python all the way to advanced algorithms and real-world interview challenges. Every single concept, from the simplest loop to the most complex dynamic programming problem, has been broken down in plain, intuitive language and paired with live coding demonstrations that help you understand the why behind the how.

Most students struggle with DSA not because it’s inherently difficult, but because the foundation is often rushed or fragmented. In this course, we do things differently. We start right from the basics of Python - setting up your environment, understanding data types, conditionals, loops, functions, comprehensions, generators, decorators, and the essential building blocks of clean and efficient code. Before we touch algorithms, you will already be thinking like a problem solver.

Once your Python foundation is solid, we transition naturally into algorithms - not as abstract mathematical formulas, but as logical solutions to real-world problems. You will learn how to analyze algorithms through asymptotic notations, time and space complexity, and how to derive performance intuitively using substitution and recursion tree methods. The focus throughout this section is to help you reason about performance - a skill that is crucial in every major technical interview.

From there, we enter the world of data structures - arrays, heaps, linked lists, stacks, queues, hash maps, trees, and graphs. But instead of just teaching their definitions or Python implementations, you will understand the story behind each one - when to use them, why they exist, and how they behave under the hood. You’ll learn how an array differs from a linked list not just in syntax, but in memory behavior; why heaps matter in real-world systems like schedulers; and how graphs model networks, maps, and relationships in every major tech application today.

Every concept is reinforced through code, visual explanation, and problem-solving. For example, while studying arrays, you will not only implement linear and binary searches but also dissect sorting algorithms like Bubble Sort, Insertion Sort, and Ternary Search, understanding their time complexities and how they scale. When you move to recursion, you’ll see its power through problems like Fibonacci and Factorial, and learn to visualize each recursive call as a story unfolding in a stack frame.

The Divide and Conquer section will change the way you approach problem-solving. Algorithms like Merge Sort, Quick Sort, and Binary Search are not just memorized but understood deeply. You will see how larger problems can be broken into smaller ones - a concept that drives modern software design, from database indexing to image processing.

When we discuss Linked Lists, Stacks, and Queues, the course takes a practical turn toward real interview problems. Reversing a linked list, validating parenthesis, or managing function calls are not just exercises here - they are patterns you’ll start recognizing everywhere, from browser navigation history to system memory management.

As the course advances, we dive into Trees and Graphs, where things become truly exciting. You will learn the logic behind tree traversal, binary search trees, and the implementation of depth-first and breadth-first search. These topics form the foundation of modern artificial intelligence, social network analysis, and pathfinding algorithms in games and navigation systems.

The later sections on Greedy Algorithms and Dynamic Programming are built to challenge and elevate you. By the time you reach them, you will have already developed the analytical maturity to approach these problems systematically. You’ll study algorithms like Prim’s and Dijkstra’s for graph optimization, Huffman coding for data compression, and classic dynamic programming problems such as Knapsack and Longest Common Subsequence. These are not only theoretical concepts but also the same algorithms that power compilers, data compression tools, and machine learning optimization routines.

What truly makes this course stand out is its structure and pacing. It doesn’t assume you’re already an expert, nor does it oversimplify the material. Instead, it guides you gradually, ensuring you truly understand before you move forward. Each concept builds upon the previous one, creating a coherent flow from Python fundamentals to the heart of computer science.

You won’t just learn what works - you’ll understand why it works, and more importantly, how to think like an engineer when it doesn’t. Every coding exercise is accompanied by reasoning, every algorithm by analysis, and every topic by its real-world context. This combination of conceptual clarity and practical application is what prepares you not just for exams or interviews, but for long-term success in software development.

The course doesn’t shy away from the tough parts either. Topics like time complexity derivation, recursion visualization, and dynamic programming breakdowns are handled with care and clarity. You’ll see the mathematics and logic come alive through live examples and step-by-step walkthroughs, removing the fear that often surrounds these advanced topics.

By the end of this course, you will have mastered both the art and science of writing efficient code. You will be able to analyze problems, select the right data structures, reason about performance, and optimize your algorithms like a professional. Whether you are preparing for FAANG interviews, university exams, or simply want to become a confident problem solver, this course gives you the depth and breadth to get there.

There are many courses that cover data structures and algorithms, but very few that build such a deep conceptual bridge between Python programming and algorithmic thinking. This one does. It has been crafted with precision and teaching experience - not as a collection of lectures, but as a complete learning journey designed to make you understand DSA at a fundamental level.

Enroll today, and experience how mastering Data Structures and Algorithms in Python can change the way you think, code, and solve problems for the rest of your career.

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Is the Data structures and Algorithm (DSA) for Tech Interviews Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 8, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Data structures and Algorithm (DSA) for Tech Interviews is a high-value resource for learners seeking to build skills inDevelopment. Taught by Hitesh Choudhary, Priya Bhatia on Udemy, the 52h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $149.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 2,932 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Data structures and Algorithm (DSA) for Tech Interviews:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Data structures and Algorithm (DSA) for Tech Interviews Course holds an aggregate rating of 4.6 out of 5 based on 2,932 student reviews on Udemy.

4.6
★★★★★
2,932 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Hitesh Choudhary, Priya Bhatia, the instructor responsible for creating and maintaining Data structures and Algorithm (DSA) for Tech Interviews on Udemy.

Data structures and Algorithm (DSA) for Tech Interviews is taught by Hitesh Choudhary, Priya Bhatia, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Hitesh Choudhary, Priya Bhatia
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Data structures and Algorithm (DSA) for Tech Interviews, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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