Data Structures & Algorithms with Python Course in Hyderabad
Master data structures and algorithms in Python for coding interviews and problem solving
The Data Structures and Algorithms with Python course builds the problem-solving foundation expected in software interviews and used in real engineering. You start with Python fundamentals and complexity analysis using Big O notation, then study arrays and strings, two pointers and sliding window techniques, hashing and dictionaries, linked lists, stacks, queues and deques, recursion and backtracking, sorting and searching algorithms, binary search variants, trees, binary search trees, heaps and priority queues, tries, graphs with BFS, DFS, shortest paths, topological sort and union-find, greedy algorithms, dynamic programming and bit manipulation. Each topic includes pattern recognition, implementation from scratch and practice problems of increasing difficulty, with timed mock interviews and discussion of trade-offs. The course also covers writing clean code under interview conditions and reading problem statements. It suits students, graduates and working developers who know basic Python and want to prepare for software engineering interviews. Classes run in classroom batches at the GloryTecks centre in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Python Essentials & Complexity Analysis
- •Python features used in interviews: lists, dicts, sets, heapq, collections and itertools
- •Big O notation, best, average and worst case, and space complexity
- •Problem-solving method: clarify, examples, approach, code and test
- •Lab: Analyse the complexity of ten code snippets
- •Outcome: Reason about efficiency before coding
Arrays & Strings
- •Array operations, in-place algorithms and rotations
- •Prefix sums and difference arrays
- •String manipulation, palindromes, anagrams and parsing
- •Lab: Solve 15 array and string problems
- •Outcome: Handle the most common interview problems
Two Pointers & Sliding Window
- •Two pointer patterns on sorted arrays and strings
- •Fixed and variable sliding windows
- •Fast and slow pointers
- •Lab: Solve subarray and substring problems in linear time
- •Outcome: Replace nested loops with linear solutions
Hashing
- •How hash tables work, collisions and complexity
- •Frequency counting, grouping and two-sum patterns
- •Design problems such as LRU cache with OrderedDict
- •Lab: Solve problems that depend on constant-time lookup
- •Outcome: Use hashing to trade space for time
Linked Lists
- •Implementing singly and doubly linked lists
- •Reversal, middle, cycle detection and merging
- •Dummy nodes and edge cases
- •Lab: Implement a linked list and solve ten pointer problems
- •Outcome: Manipulate pointer-based structures confidently
Stacks, Queues & Monotonic Patterns
- •Stack and queue implementations; deque
- •Parentheses, expression evaluation and next-greater-element patterns
- •Monotonic stack and queue techniques
- •Lab: Solve stack-based interview problems
- •Outcome: Apply LIFO and FIFO structures to problems
Recursion & Backtracking
- •Recursion, base cases and the call stack
- •Subsets, permutations and combinations
- •Backtracking with pruning: N-Queens and Sudoku-style problems
- •Lab: Generate and filter combinations with recursion
- •Outcome: Explore decision trees systematically
Sorting & Searching
- •Comparison sorts: insertion, merge, quick and heap sort
- •Counting and radix sort; stability
- •Binary search and its variants, including search on answer
- •Lab: Implement merge sort and solve binary search problems
- •Outcome: Pick and implement the right sort and search
Trees & Binary Search Trees
- •Binary trees: DFS and BFS traversals
- •Binary search trees: insert, search, delete and validation
- •Height, diameter, lowest common ancestor and serialisation
- •Lab: Solve 15 tree problems recursively and iteratively
- •Outcome: Work fluently with hierarchical data
Heaps, Priority Queues & Tries
- •Heap properties, heapq and priority queue patterns
- •Top-k, k-way merge and scheduling problems
- •Tries for prefix search and autocomplete
- •Lab: Solve top-k and prefix search problems
- •Outcome: Select and order data efficiently
Graphs
- •Adjacency lists and matrices; BFS and DFS
- •Topological sort, cycle detection, Dijkstra's algorithm and union-find
- •Grid problems, connected components and minimum spanning tree overview
- •Lab: Solve islands, course schedule and shortest path problems
- •Outcome: Model and solve problems as graphs
Greedy Algorithms & Dynamic Programming
- •Greedy strategies and proofs by exchange argument; interval problems
- •Memoisation and tabulation; one- and two-dimensional DP
- •Classic problems: knapsack, longest common subsequence, edit distance and coin change
- •Lab: Convert recursive solutions to DP step by step
- •Outcome: Recognise and solve optimisation problems with DP
Bit Manipulation, Mock Interviews & Capstone
- •Bitwise operators, masks and common tricks
- •Timed mock interviews with feedback on communication and code quality
- •Capstone: solve a curated problem set and explain solutions aloud
- •Resume and coding-profile preparation
- •Outcome: Interview confidence and a record of solved problems
Tools Covered
Projects Included
- Data Structure Library: Implement a linked list, stack, queue, heap and trie from scratch with tests; deliverable is a tested Python package.
- Interview Problem Notebook: Solve and document 100 curated problems with patterns and complexity notes; deliverable is a GitHub repository.
- LRU Cache and Autocomplete: Build an LRU cache and a trie-based autocomplete; deliverable is code with a benchmark.
- Graph Toolkit: Implement BFS, DFS, Dijkstra, topological sort and union-find; deliverable is a library and example programs.
- Capstone Mock Interview Series: Complete timed mock interviews across all topics with written feedback; deliverable is a personal performance review and improvement plan.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Data Structures & Algorithms with Python course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Data Structures & Algorithms with Python.
Certificate of Completion
Data Structures & Algorithms with Python
This certifies that
[Your Name]
has successfully completed the
Data Structures & Algorithms with Python
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Data Structures & Algorithms with Python course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best Data Structures & Algorithms with Python Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Software Developer, Software Engineer (entry level), Back-End Developer, Programmer Analyst; support is guidance with the job search, not a guarantee of a job.