Data Structures & Algorithms
Our Data Structures & Algorithms course covers core data structures, Big-O analysis, sorting and searching, recursion and backtracking, divide and conquer, greedy algorithms, dynamic programming, graph algorithms, and problem-solving patterns for coding interviews and competitive programming, in C++, Java or Python. Lessons are live and one-to-one with a verified subject expert, who explains each concept with worked examples, solves problems from your own module and helps you prepare for exams and coursework. Suitable for computer science students and developers preparing for technical interviews, following university syllabi in the UK, US, Australia and India (including AKTU, VTU and Anna University style courses).
Reviewed by P. Gaurav, B.Tech in Computer Science and EngineeringLast updated
$14 – $39
per hour
Free demo class · pay only if you continue
What you will learn
Learning outcomes
- Understand data structures and algorithms
- Analyse time and space complexity
- Understand Big O notation
- Work with arrays
- Implement linked lists
- Use stacks and queues
- Understand hash tables
- Apply recursion
- Implement linear search
- Implement binary search
- Understand sorting algorithms
- Compare algorithm efficiency
- Work with binary trees
- Understand binary search trees
- Implement tree traversals
- Understand heaps and priority queues
- Work with graphs
- Implement breadth-first search
- Implement depth-first search
- Understand greedy algorithms
- Apply divide and conquer techniques
- Understand dynamic programming
- Solve algorithmic problems
- Optimise code performance
- Choose appropriate data structures
- Develop algorithmic thinking
- Solve coding interview problems
Prerequisites
- Basic programming knowledge
- Variables and data types
- Conditional statements
- Loops
- Functions
- Basic mathematics
- Logical problem-solving skills
Tags
Course structure
Syllabus(13 modules)
- What are Data Structures?
- What is an Algorithm?
- Data Structures vs Algorithms
- Primitive & Non-Primitive Data Structures
- Linear & Non-Linear Data Structures
- Static & Dynamic Data Structures
- Abstract Data Types (ADTs)
- Choosing the Right Data Structure
- Algorithm Correctness
- Algorithm Efficiency
What is Data Structures and Algorithms?
In short: this course gives one-to-one online tutoring in data structures and algorithms, including coding interview preparation. A verified tutor teaches common patterns, complexity analysis and problem-solving, and reviews your own solutions.
Data structures and algorithms (DSA) is the combined study of how to organise data and the step-by-step procedures that process it efficiently. In a professional context, DSA is the core of technical coding interviews and campus placements, where you must solve problems quickly, explain your approach and analyse complexity.
This online course teaches Data Structures and Algorithms one to one with a verified tutor who has studied or taught it at university level, at your pace and aligned with your own module.
Related subject: Data structures help.
If you are new to the topic, start with our Data Structures course and the Discrete Mathematics course.
What does the Data Structures and Algorithms course cover?
| Topic | Interview focus |
|---|---|
| Arrays and strings | Two pointers, sliding window, prefix sums |
| Hashing | Frequency counts, lookups, deduplication |
| Linked lists | Reversal, cycle detection, merging |
| Stacks and queues | Monotonic stacks, bracket matching |
| Binary search | Search on sorted data and on the answer |
| Trees and BSTs | Traversals, lowest common ancestor, depth and diameter |
| Heaps | Top-k problems, merging sorted lists |
| Graphs | BFS, DFS, topological sort, shortest paths, union-find |
| Recursion and backtracking | Subsets, permutations, N-Queens |
| Dynamic programming | Knapsack, longest common subsequence, grid paths |
What are the most common coding interview patterns?
Most interview problems are variations of a small set of patterns: two pointers, sliding window, hashing, binary search, BFS and DFS, backtracking, heaps for top-k, and dynamic programming. Recognising the pattern quickly is more valuable than memorising individual solutions, so tutors teach the pattern first, then practise many problems that use it.
How do you solve a coding interview problem?
- Clarify the problem, inputs, outputs and constraints.
- Work through a small example by hand.
- State a brute-force approach and its complexity.
- Optimise using a known pattern.
- Write clean code, talking through your reasoning.
- Test with edge cases and state the final time and space complexity.
What does a worked two-pointer problem look like?
Here is a classic interview problem: in the sorted array [1, 3, 4, 6, 8], find two numbers that sum to 10.
| Left | Right | Sum | Action |
|---|---|---|---|
| 1 | 8 | 9 | Too small: move left pointer right |
| 3 | 8 | 11 | Too big: move right pointer left |
| 3 | 6 | 9 | Too small: move left pointer right |
| 4 | 6 | 10 | Found: 4 + 6 |
This runs in O(n) time instead of O(n²).
Where do students lose marks in Data Structures and Algorithms?
Students most often lose marks in Data Structures and Algorithms through the habits below. Each is easy to fix with practice and feedback on your own work.
| Mark-loser | What to do instead |
|---|---|
| Jumping into code | Restate the problem and examples first |
| Edge cases missed | Test empty, single-element and duplicate inputs |
| Steps skipped | Show each step of the method |
| Definitions vague | Use precise technical definitions |
| No worked check | Verify the result with a small example |
| Diagrams missing | Draw the structure or flow before solving |
How is it assessed, and how can a tutor help?
Coding interviews are usually live problem-solving rounds on a shared editor or whiteboard, sometimes preceded by an online assessment.
Tutors explain concepts, work through practice problems with you and give feedback on your approach. Graded work you submit must be your own, as set out in our academic integrity policy. For deadline-driven guidance, see assignment help.
How the lessons work
Lessons are live and one to one on video with screen sharing and a shared whiteboard. You can follow a full course or book sessions on the topics you find hardest before exams. Tutors run mock interviews with feedback on communication as well as code. See also Data Structures, Java Programming and Design and Analysis of Algorithms.
Data structures and algorithms tutor online: who this course is for, prerequisites and study plan
A data structures and algorithms tutor online gives you live 1-to-1 lessons on a shared screen, working from complexity and arrays to trees, heaps and hashing in your own language.
This course suits computer science students and job seekers preparing for exams and coding interviews.
Prerequisites: basic programming, including variables, conditions, loops and functions.
Course length: 45 one-hour lessons across 13 modules.
| Stage | Topics | What you can do afterwards |
|---|---|---|
| 1 | Introduction; complexity and analysis; arrays | Work out Big-O and solve array problems |
| 2 | Linked lists; stacks; queues; recursion | Implement core structures and recursive solutions |
| 3 | Searching; sorting | Choose and code the right algorithm |
| 4 | Trees; binary search trees; heaps; hashing | Solve tree, heap and hash table problems |
Where it leads: see the Operating Systems course or the Database Management Systems course.
Data Structures & Algorithms: frequently asked questions
What is DSA?
Data structures and algorithms: organising data and the procedures that process it efficiently.
How long does it take to prepare DSA for interviews?
It depends on your starting point; steady practice over several weeks with feedback works best.
Which language should I use for coding interviews?
Use the language you know best; Python, Java and C++ are all common.
What is dynamic programming?
A technique that solves problems by combining solutions to overlapping subproblems, often with memoisation or a table.
Do you run mock interviews?
Yes. Tutors run timed mock interviews with feedback.
How many problems should I practise?
Quality matters more than quantity: master each pattern with several varied problems.
Is this course for beginners?
It suits students who know basic programming. Beginners can start with Programming Fundamentals.
Can you help with campus placement tests?
Yes. Tutors practise online assessment-style questions.
How much does a DSA tutor cost?
The price depends on the tutor and session length. You see the hourly rate before booking, with no subscription.
Can a tutor do my assignment for me?
No. Tutors explain, guide and give feedback so you can complete your own work, in line with our academic integrity policy.
What is the two-pointer technique?
Moving two indices through a sorted array to find pairs efficiently in O(n).
What is a sliding window?
Keeping a moving range over an array to solve subarray problems efficiently.
How do I prepare for coding interviews?
Learn common patterns, practise explaining your approach and analyse complexity.
What is BFS used for?
Finding shortest paths in unweighted graphs and level-order traversal.
What is a heap used for?
Priority queues and finding the k largest or smallest items.
What is hashing used for?
Fast lookups, counting and detecting duplicates.
What is the full form of DSA?
DSA stands for Data Structures and Algorithms. Data structures are ways of organising data, such as arrays, linked lists, trees and graphs, and algorithms are step-by-step methods for solving problems with them, such as sorting, searching and dynamic programming. Together they are the core of coding interviews and university programming exams.
What topics are in a DSA course syllabus?
A typical DSA syllabus covers time and space complexity, arrays and strings, linked lists, stacks and queues, hashing, recursion, trees and binary search trees, heaps, graphs, sorting and searching, greedy algorithms and dynamic programming. Your tutor orders these topics around your exam or interview date and practises each with problems.
Do you offer lessons in my time zone?
Yes. Lessons are online, so you can book times that suit your time zone.
How often should I have lessons?
Weekly lessons suit most students; add extra sessions before exams.
Can I get a data structures and algorithms tutor online?
Yes. You can learn with a 1-to-1 data structures and algorithms tutor online through live lessons with a shared screen. Your tutor traces each structure with you, reviews your code, explains time complexity and practises the problem patterns used in exams and coding interviews.
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