Crack MAANG‐level coding challenges in minutes with Python and proven algorithms. In this DSA Python course, you’ll engineer custom search engines, streamline millions of data points, and architect scalable systems that power top tech companies. Live coding sprints and hands-on projects deliver portfolio-ready solutions and real interview practice. Master DSA now to stand out in Google, Amazon, Netflix—and beyond.
Course Highlights – Everything You Need to Succeed
- 25+ hrs live expert-led DSA course
- 70+ hrs of Free DSA study material
- 90+ hrs of real-world DSA practicals
- 55+ Interactive DSA quizzes & assessments
- 145+ DSA Interview questions for top MNCs
- 25+ Real-time projects with implementation
- 45+ Python DSA practical code examples
- 96% Positive reviews from learners
- 35+ Comprehensive assignments
- 15+ Real-time DSA case-studies
- 400+ Python programming tutorials
- 1:1 Career counselling with expert
- Practical knowledge which industry needs
- Industry-renowned DSA certification
Your DSA Python Journey Starts Here — Try before you Buy
Master DSA Python from Scratch
Join our hands-on DSA Python course crafted by industry veterans and build real-world skills. It’s not just a course, it’s a job-ready bootcamp.|
Start 📅 5-July-2025 |
Schedule 🕗 9.00 PM IST | 11.30 AM EST (Mon-Fri) |
Access Duration 🕗 Lifetime Access |
Price |
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| 📅 09-Aug-2025 | 🕗 8.00 PM IST | 10.30 AM EDT (Sat-Sun) | 🕗 Lifetime Access |
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Online DSA using Python Course Curriculum
- What is DSA using Python?
- Why DSA with Python
- Types of Data Structures: Linear and Non Linear
- Stack in Data Structures and Algorithms
- Implementation of Stack
- Stack using List in DSA Python
- Stack using Collection Module
- Stack using Queue Module
- Convert Infix to Postfix
- Convert Infix to Prefix
- Queue in DSA Python
- Implementation of Queue
- Queue using List in DSA Python
- Queue using Collection Module in DSA Python
- Linear Queue using Collection Module in DSA Python
- Circular Queue in DSA
- Implementation of Circular Queue
- Insert, Display and Delete in Circular Queue in DSA Python
- D Queue in Data Structures in DSA Python
- Deque using Collection Module in DSA Python
- Priority Queue in Data Structures in DSA Python
- Priority Queue using List in DSA Python
- Priority Queue using Module in DSA Python
- Linked List in DSA Python
- Create, Display, Insert and Delete Method in Linked List
- Searching in Linked List
- Sorting in Linked List
- Stack Linked List
- Create, Push, Pop and Display Methods in Stack Linked List
- Practical Implementation of Stack Linked List
- Queue Linked List
- Create, Insert, Delete and Display Methods in Queue Linked List
- Practical Implementation of Queue Linked List
- What is Circular Linked List in DSA Python?
- Create, Display, Insert and Delete Methods
- Practical Implementation of Circular Linked List
- What is Doubly Linked List in DSA Python?
- Create, Display, Insert, Delete and Reverse Display Methods
- Practical Implementation of Doubly Linked List
- What is Circular Doubly Linked List?
- Create, Display, Insertion, Deletion and Reverse Display Methods
- Practical Implementation of Circular Doubly Linked List
- What is Recursion?
- Types of Recursion
- What is Tail Recursion?
- Linear Search in DSA Python
- Practical Implementation of Linear Search
- Binary Search in DSA Python
- Practical Implementation of Binary Search
- What is Sorting in DSA Python
- Linear Sort in DSA Python
- Bubble Sort in DSA Python
- Selection Sort
- Insertion Sort
- Radix Sort
- Shell Sort
- Quick Sort
- Two way Merge Sort
- Merge Sort
- Address Calculation of Array in Data Structures
- Address Calculation of 3D Array in DSA Python
- Address Calculation of Lower & Upper Bound of Array in DSA Python
- Tower of Hanoi in DSA Python
- Big O Notation
- To Do List
- Movie Ticket Booking System
- Music Playlist
- Restaurant Order Processing
- Traffic Light Simulation
- Family Tree Builder
- Friend Recommendation System on Social Media
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DSA using Python Course Objectives
By the end of this course, you will be able to:
- Implement Core Data Structures: In Python, you can build and manipulate lists, stacks, queues, trees, graphs, heaps, and hash tables from scratch.
- Analyse Algorithm Efficiency: Evaluate time and space complexity to choose the most efficient approach for any problem.
- Design Optimised Solutions: Combine data structures and algorithms to craft high-performance code for real-world challenges.
- Master Pythonic Techniques: Leverage list comprehensions, generators, and built-in libraries to write clean, concise, and scalable solutions.
- Tackle Coding Interviews: Confidently solve widespread interview problems—binary search, dynamic programming, graph traversals, and more—under timed conditions.
- Apply to Real Projects: Integrate DSA skills into practical scenarios, such as database indexing, route planning, recommendation engines, and beyond.
- Debug and Test Robustly: Develop systematic debugging strategies and write unit tests to ensure your solutions are correct and reliable.
These objectives will guide your journey from writing basic scripts to engineering elegant, efficient algorithms that power modern applications.`
Why should you learn DSA with Python?
- Boost Your Problem-Solving Power: Master core data structures and algorithms to tackle coding challenges swiftly and confidently—no more getting stuck on tricky interview questions.
- Ride the Python Wave: Python’s simplicity and readability make it the perfect language to learn DSA. You’ll write clean, concise code in high demand across industries.
- Unlock Top Tech Roles: Companies like Google, Amazon, and Netflix rank DSA expertise among their top hiring criteria. This course prepares you for real-world interviews and on-the-job puzzles.
- Optimise for Real-World Impact: Learn theory and apply it to practical scenarios—speed up searches, sort millions of records in milliseconds, and design efficient systems from day one.
- Future-Proof Your Career: With data-driven products and AI on the rise, strong DSA skills keep you ahead of the curve, ready to innovate in any domain, from web services to machine learning.
What is DSA with Python?
Imagine solving complex puzzles in seconds—this is what Data Structures & Algorithms (DSA) with Python empowers you to do. You’ll learn to store, access, and manipulate data like a pro by combining Python’s simplicity with powerful organisational techniques. From lightning-fast searches in massive databases to crafting optimised routes for delivery drones, DSA underpins every high-performance application you use daily. With Python topping the charts as one of the world’s most popular languages and DSA skills ranking among the top 5 capabilities demanded by tech giants, mastering this duo unlocks endless possibilities. Transform raw data into elegant solutions and supercharge your coding career!
What to do before you begin?
To hit the ground running, you’ll need just a handful of essentials:
- Python Basics: Comfort with variables, data types, loops, conditionals and functions in Python 3.
- Programming Foundations: Understanding how code executes—reading from top to bottom, debugging simple errors.
- Problem-Solving Mindset: Willingness to break big problems into bite-sized steps and think through logic.
- Python Environment: A computer (Windows, macOS or Linux) with Python 3 installed and a code editor of your choice.
No advanced math or prior DSA experience required—just bring your curiosity, and we’ll build everything else from scratch!
Who should go for this DSA with Python course?
- Aspiring Programmers: If you’re starting your coding journey and want a rock-solid foundation in efficient problem-solving, this course is for you.
- Career Switchers: Transitioning from another field? Gain in-demand DSA skills quickly using Python’s beginner-friendly syntax.
- Interview Seekers: Preparing for tech interviews at top companies—hone the exact algorithms and data structure know-how recruiters test.
- Experienced Developers: Already coding in other languages? Level up your toolkit with Python’s elegant style and advanced efficiency techniques.
- Tech Enthusiasts: How do search engines, recommendation systems, and high-frequency trading platforms work under the hood? Discover the building blocks here.
No matter your background, if you’re driven to write smarter, faster, and more scalable code, this course is your launchpad.
By enrolling in DSA with Python course, you can expect the following benefits:
- Sharper Interview Performance: Stand out in coding rounds with proven strategies for solving top-tier DSA problems under pressure.
- Efficiency in Action: Write leaner, faster Python code that handles large datasets seamlessly—impress your team and managers.
- Broader Career Opportunities: Open doors to software development, data engineering, and system design roles at leading tech companies.
- Real-World Confidence: Apply DSA concepts to real-time practical implementation—optimise search engines, develop recommendation systems, and streamline data pipelines.
- Problem-Solving Mastery: Develop a methodical way to break down complex challenges, boosting creativity and logical thinking.
- Code Quality and Maintainability: Adopt Pythonic best practices to produce readable, testable, and highly maintainable solutions.
- Lifelong Skill Foundation: Gain a core competency you’ll leverage across frameworks, languages, and emerging technologies for years.
Jobs after Learning this DSA with Python Online Course
- Software Engineer
- Backend Developer
- Data Engineer
- Algorithm Engineer
- Systems Developer
- Competitive Programmer
- Technical Consultant
These roles harness your Python-powered DSA expertise to solve complex challenges and drive innovation across industries.
Features of TechVidvan DSA using Python Course
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DSA using Python FAQs
Efficient data organisation and manipulation are essential for creating software that works well and resolving challenging computational issues. For programmers, understanding DSA is necessary since it allows for the optimisation of code performance and makes it easier to create scalable and dependable software systems.
Python is the main language used in this course because it is easy to use, has a wide range of implementation support for data structures and algorithms, and is simple. Python’s extensive library ecosystem and high-level syntax make it the best option for efficiently learning DSA topics.
This course offers live workshops for interactive learning, plus recorded replays you can revisit anytime.
No—start from the basics. We’ll build every concept from scratch, so both beginners and pros will benefit.
Yes, each lesson has code snippets, curated problem sets, and detailed solutions.
Live classes are scheduled, but all materials and recordings are available 24/7 on our platform.
Yes—dedicated interview workshops focus on real-world DSA questions, timed practice, and live mock interviews.
All sessions are recorded. You can watch and submit questions afterwards, so you never miss a lesson.
Yes, you’ll build projects on DSA using Python.
Indeed, a certificate of completion will be awarded to you if you have completed all course requirements, including the assignments, projects, and exams. Your DSA competency is verified by this certificate, which can also help you improve your resume and professional prospects.
