Get comfortable with Python
Build a foundation in functions, lists, dictionaries and Pythonic iteration.
Build Python foundations and learn to solve problems with purpose. Work with the right data structures, compare algorithms and explain why your solution works.
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Build programming fundamentals, master data structures and turn interview problems into clear, efficient solutions using Python.
Build a foundation in functions, lists, dictionaries and Pythonic iteration.
Learn when to use different data structures and how to compare solutions using complexity.
Test edge cases and practise presenting your approach in a coding round.
Python is widely used in AI workflows. Strong programming and DSA foundations help you understand generated code, verify its correctness and make deliberate choices about efficiency.
Learn Python, build the structures and practise algorithms with readable, testable solutions.
Complete topics, assignments and learning outcomes.
Put it into practice Build a console-based utility with input validation.
Write and debug programs confidently.
Put it into practice Solve a graded set of array and search problems.
Choose efficient approaches and explain their complexity.
Put it into practice Implement a maze or constraint solver.
Break a complex problem into recursive decisions.
Put it into practice Build and test reusable data structure implementations.
Select suitable structures for common problem patterns.
Put it into practice Model routes as a graph and implement path finding.
Solve connected, hierarchical and path-based problems.
Put it into practice Complete timed problem sets and a mock problem walkthrough.
Present a clear solution with complexity and edge cases.
Explore project ideas that bring the DSA Python curriculum together. Build, test and explain the decisions behind your work.
Represent locations as a graph, find a path between them, and explain the trade-offs behind your chosen algorithm.
Implement reusable data structures, test their operations, and understand how the building blocks of efficient programs work.
Explore a grid, backtrack from dead ends, and find a valid route. Make recursive decisions visible, one move at a time.
Each curriculum module includes practical work to help you apply and review the idea.
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Talk to an advisorThe curriculum begins with Python programming foundations, including functions, lists, dictionaries and iteration. Beginners can build a starting point, while learners who already code can strengthen their DSA reasoning.
The roadmap covers programming foundations, arrays, strings & complexity, recursion & backtracking, core data structures, trees & graphs, dynamic programming & interviews. Project ideas include Route planner, Data structure toolkit. Ask your advisor to confirm the work and review process for your selected batch.
Python is widely used in AI workflows. Strong programming and DSA foundations help you understand generated code, verify its correctness and make deliberate choices about efficiency.
Use the NSP and Noida selector to compare any published weekday and weekend schedules. If a centre has no listed batch, our team can help you check upcoming availability. Ask about live online options if you prefer to learn remotely.
These depend on your selected batch. Review the available schedule and fee together, and ask our team to confirm the current duration, mentor allocation and enrolment details.
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