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Get Data structures and Algorithm (DSA) for Tech Interviews with 90% OFF Udemy Coupon

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

★ 4.5 out of 5
(2,185 students enrolled)
Instructor: Hitesh Choudhary, Priya Bhatia
Last Update:
Language: English

Key Takeaways — Course Overview

The following summarizes all verified data points for Data structures and Algorithm (DSA) for Tech Interviews, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .

Course Title: Data structures and Algorithm (DSA) for Tech Interviews

Platform: Udemy (listed via CoursesWyn)

Instructor: Hitesh Choudhary, Priya Bhatia

Coupon Verified:

Difficulty Level: All Levels

Category: Development

Subcategory: Data Structures

Duration: 52h of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Students who complete Data structures and Algorithm (DSA) for Tech Interviews will be able to: 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.

Prerequisites: No prior programming experience is required, this course starts from absolute basics.

Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).

Important:

This coupon may not function properly in private/incognito browsing mode. Use a standard browser window and temporarily disable ad blockers or VPN services before clicking the redemption link to ensure the discount is applied correctly.

What You'll Learn

Completing Data structures and Algorithm (DSA) for Tech Interviews gives you the following verified skills and competencies in Development:

  • 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.

Requirements

The following background knowledge and tools are recommended before starting Data structures and Algorithm (DSA) for Tech Interviews. Students without these prerequisites may still enroll but should expect a steeper learning curve.

  • 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. It covers the curriculum structure, teaching methodology, and topic scope for this Development course.

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 This Course Worth It?

Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .

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 in Development. Taught by Hitesh Choudhary, Priya Bhatia on Udemy, the 52h course provides a structured progression from foundational concepts to advanced Data Structures techniques — making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

The following advantages were identified:

  • Verified 90% price reduction makes this course accessible on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high satisfaction.
  • Includes an official Udemy completion certificate and lifetime access.

Keep in Mind (Cons)

The following limitations should be considered:

  • The depth of Data Structures coverage may be challenging for newcomers.
  • Lifetime access is contingent on the Udemy platform's operation.
  • Hands-on projects require additional time beyond video watch time.

Andrew Derek

Lead Reviewer

View credentials →

"Given the 90% price reduction and verified 4.5-star rating, Data structures and Algorithm (DSA) for Tech Interviews represents one of the strongest value propositions currently available in Development. Enrollment is recommended while this coupon remains active."

Final Verdict: Worth It

Course Rating Summary

Data structures and Algorithm (DSA) for Tech Interviews holds an aggregate rating of 4.5 out of 5 based on 2,185 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.5

2,185 Verified Ratings

5 stars
90%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
1%

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

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 Data Structures skills.

View Official Instructor Profile ↗

Coupon Help Center

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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. All answers are based on verified data from Udemy as of .

Is there a verified discount coupon for Data structures and Algorithm (DSA) for Tech Interviews?
Yes. A verified Udemy coupon for Data structures and Algorithm (DSA) for Tech Interviews is available on this page, reducing the price from $99.99 to $9.99 — a saving of $90.00 (90% OFF). The coupon was last verified on March 26, 2026.

How do I apply the Data structures and Algorithm (DSA) for Tech Interviews coupon code?
Click the "Redeem Coupon" button on this page. The 90% discount is automatically applied to the Udemy checkout link. No manual coupon entry is needed.

How long is the Data structures and Algorithm (DSA) for Tech Interviews course on Udemy?
Data structures and Algorithm (DSA) for Tech Interviews consists of 52h of on-demand video. Udemy provides lifetime access to enrolled students, allowing you to revisit all content at any time after purchase.

What skills will I gain from Data structures and Algorithm (DSA) for Tech Interviews?
Data structures and Algorithm (DSA) for Tech Interviews, taught by Hitesh Choudhary, Priya Bhatia on Udemy, covers the following competencies: 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. . These skills are delivered through 52h of structured Data Structures content, enabling learners to apply knowledge immediately after each module.

What is the Data structures and Algorithm (DSA) for Tech Interviews Udemy course?
Data structures and Algorithm (DSA) for Tech Interviews is a 52h online course on Udemy, created and taught by Hitesh Choudhary, Priya Bhatia. It covers Development topics and holds a 4.5-star rating from 2,185 enrolled students. Use the verified coupon on this page to access it at $9.99 (90% OFF the regular $99.99 price).
Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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