Data Structures and Algorithms
Master essential data structures and algorithmic techniques for coding interviews and production software
In this course, you will: Implement core data structures: arrays, linked lists, trees, graphs, heaps, and hash tables; Apply fundamental algorithms: sorting, searching, dynamic programming, and graph traversal; Analyse algorithm complexity using Big-O notation for time and space.

30+
Hours
5
Modules
20
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About Data Structures and Algorithms
Master essential data structures and algorithmic techniques for coding interviews and production software
In this course, you will: Implement core data structures: arrays, linked lists, trees, graphs, heaps, and hash tables; Apply fundamental algorithms: sorting, searching, dynamic programming, and graph traversal; Analyse algorithm complexity using Big-O notation for time and space.
What This Training Covers
The Data Structures and Algorithms programme at Tutorsbot spans 30+ hours across 5 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
Data Structures and Algorithms is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
5 modules · 20 topics · 30 hrs
01Foundations and Arrays
10 topics
Foundations and Arrays
10 topics
- Big-O notation: time and space complexity analysis of algorithms and data structures
- Array operations: insertion, deletion, search, and in-place manipulation patterns
- Two-pointer technique: problems on sorted arrays, palindromes, and container with most water
- Sliding window: fixed and variable size windows for substring and subarray problems
- Prefix sums and difference arrays: range sum queries and range update operations
- Binary search: standard search and variants — first/last occurrence and rotated arrays
- Hash maps and hash sets: collision handling, frequency counting, and lookup patterns
- Sorting algorithms: bubble, insertion, selection, merge sort, and quicksort with analysis
- Counting sort and radix sort: linear-time sorting for bounded integer domains
- Matrix traversal: spiral, diagonal, and 2D binary search techniques
02Linked Lists and Stacks
10 topics
Linked Lists and Stacks
10 topics
- Singly and doubly linked lists: node structure, traversal, and pointer manipulation
- Cycle detection: Floyd's tortoise-and-hare algorithm for linked list cycle problems
- Reversal patterns: reversing a linked list iteratively and recursively
- Merging sorted lists: two-list and k-list merge using min-heap
- Stack: LIFO implementation and classic problems — balanced parentheses and next greater
- Monotonic stack: largest rectangle in histogram and daily temperatures pattern
- Queue: FIFO using linked list and circular array implementations
- Deque (double-ended queue): sliding window maximum and minimum problems
- Priority queue: min-heap and max-heap implementation and top-K element problems
- LRU Cache: doubly linked list + hash map design for O(1) get and put operations
Trees and Graphs
Topics included
2 more modules available
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Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Data Structures and Algorithms batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Data Structures and Algorithms Talent from Tutorsbot
Companies hiring Data Structures and Algorithms talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Data Structures and Algorithms, answered by our training experts
1Who should take Data Structures and Algorithms?
2Does Data Structures and Algorithms include a certificate?
3Is placement support included with Data Structures and Algorithms?
4How long does Data Structures and Algorithms take to complete?
5What is the mode of delivery for Data Structures and Algorithms?
6Can I get a free demo class for Data Structures and Algorithms?
7What kind of projects will I work on in Data Structures and Algorithms?
8What if I miss a class?
9Is Data Structures and Algorithms worth it for experienced professionals?
10What is the refund policy for Data Structures and Algorithms?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Data Structures and Algorithms materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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