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DSA using C (Data Structure & Algorithm) Data & Analytics

DSA using C (Data Structure & Algorithm)

Data structures and algorithms are the foundation of strong programming and the heart of technical interviews. Using C, this course teaches arrays, linked lists, stacks, queues, trees, sorting and searching — the tools that make code efficient. It's essential preparation for serious developers and interview success.

Duration
1.5 mths
Format
Live 1-on-1
Level
Professional
Certificate
Osian NSDC
Overview

What this course is about

Efficient programs begin with choosing the right way to store and process information. DSA using C teaches that thinking through live one-on-one classes, moving from C syntax into arrays, strings, pointers, structures and algorithmic reasoning. You will trace code by hand, test edge cases and compare approaches instead of memorising isolated interview answers. The course suits computer science students, beginners with basic C and programmers preparing for stronger problem-solving habits.

The curriculum can include linked lists, stacks, queues, recursion, trees, searching, sorting, hashing and graph foundations. Each topic is tied to operations, time and space trade-offs, implementation choices and debugging. Your teacher may use diagrams, dry runs and small coding challenges before a larger exercise. Since DSA is broader than a language syntax class, the emphasis remains on transferable reasoning that can later support C++, Java or Python study.

A portfolio-style practice set may include a menu-driven data structure program, sorting comparison, expression conversion, tree traversal or graph search. You will learn to explain input assumptions, complexity and failure cases during code review. Flexible timings, certificate and placement support with resume help, mock interviews and referrals make the course relevant for learners after 12th and professionals preparing for programming assessments.

By the end

What you’ll be able to do

  • Implement arrays, linked lists, stacks and queues using clear C code
  • Use pointers, structures and dynamic memory with safer programming habits
  • Apply searching and sorting algorithms to suitable input conditions
  • Trace recursion, tree traversals and graph operations step by step
  • Estimate time and space complexity for common solutions
  • Debug edge cases and explain algorithm choices in a coding interview
Syllabus

How the course flows

  1. 1
    Data FoundationsWeek 1

    Data types, spreadsheets and thinking analytically.

  2. 2
    Querying & WranglingWeek 2

    Pulling and cleaning data with SQL and tools.

  3. 3
    VisualisationWeek 3

    Dashboards in Power BI / Tableau that tell a story.

  4. 4
    Statistics & InsightWeek 4

    Core statistics and drawing sound conclusions.

  5. 5
    Analytics ProjectWeeks 5–6

    An end-to-end analysis on a real dataset.

Toolkit

Tools you’ll use

  • Excel
  • SQL
  • Power BI
  • Tableau
  • Python (pandas)
Audience

Who this course is for

  • Computer science students strengthening core programming concepts
  • Beginners who know basic C syntax and want structured problem solving
  • Engineering learners preparing for coding assessments
  • Working developers revisiting data structures before interviews
  • Students after 12th exploring an algorithm-focused programming path
Where it leads

Roles this opens up

  • Programming Trainee

    Implements and tests small programs while developing algorithmic reasoning.

  • Junior C Developer

    Supports maintenance or embedded-oriented code under experienced supervision.

  • Coding Assessment Candidate

    Uses structured practice to approach entry-level programming test problems.

Questions

Before you enrol

You should know variables, conditions, loops, functions and basic arrays. The teacher can revise these topics, but the main focus is data structures and algorithms rather than complete C language training.

A standard C compiler with an editor such as GCC, Code::Blocks or Visual Studio Code can work. Confirm the compiler setup and language standard so examples behave consistently.

Yes, time and space discussion is linked to loops, recursion, searching, sorting and data structure operations. You will compare practical trade-offs rather than recite notation without context.

A general C course focuses on language constructs and application basics. DSA using C uses those constructs to implement structures, analyse algorithms and solve constrained problems.

It develops implementation practice, dry-run habits and explanation skills useful for coding rounds. You should still practise independently with the pattern and difficulty used by your target employers.

Yes, pointers, structures and dynamic allocation are important when implementing linked structures in C. Exercises also highlight common memory and boundary mistakes so you can debug them deliberately.