Data Structures with C & C++ Course

feature-iconData structures are used to keep and organize information.
feature-iconAn array is a type of data structure that may store several elements in a single variable.
feature-iconC++ also supports some other data structures, each of which is used to manage data in a unique way.
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Learning Curve for Data Structures with C & C++

Learning curve for Data Structures with C & C++

Master In Data Structures with C & C++ Course

OneCourseMultipleRoles

Empower your career with in-demand data skills and open doors to top-tier opportunities.

Software Developer
Data Architect
Database Administrator (DBA)
Data Engineer
Data Scientist
Machine Learning Engineer
Business Intelligence Analyst
Data Analyst
Quantitative Analyst and Data Storyteller

Skills & Tools You'll Learn -

C iconCA procedural programming language for system and application development.
C++ iconC++An object-oriented programming language with features like classes and polymorphism.
Tools & Software iconTools & SoftwareIDEs and utilities for coding, debugging, and compiling C/C++ programs.
Creating Array iconCreating ArrayDeclaring and initializing a collection of elements of the same type.
Types of Array iconTypes of ArrayOne-dimensional, multi-dimensional, and dynamic arrays.
Operations on Array iconOperations on ArrayInsertion, deletion, traversal, searching, and sorting.
Creating Linked List iconCreating Linked List Defining nodes and linking them dynamically in memory.
Types of Linked List iconTypes of Linked ListSingly, doubly, and circular linked lists.
Operations on Linked List iconOperations on Linked ListInsertion, deletion, traversal, searching, and reversing.
Creating Stack iconCreating StackImplementing a LIFO data structure using arrays or linked lists.
Terms in Stack iconTerms in StackPush, pop, top, underflow, overflow.
Operations on Stack iconOperations on StackPush, pop, peek, and checking for empty/full conditions.
Creating Queue iconCreating QueueImplementing a FIFO data structure using arrays or linked lists.
Terms in Queue iconTerms in QueueFront, rear, enqueue, dequeue, overflow, underflow.
Creating Tree iconCreating TreeDefining a hierarchical structure with nodes and edges.
Types of Trees iconTypes of TreesBinary tree, BST, AVL tree, B-tree, etc.
Terms in Trees iconTerms in TreesRoot, parent, child, leaf, depth, height.
Operations on Trees iconOperations on TreesInsertion, deletion, traversal (inorder, preorder, postorder).
Creating Graph iconCreating GraphRepresenting networks using nodes and edges.
Types of Graphs iconTypes of GraphsDirected, undirected, weighted, unweighted.
Terms in Graphs iconTerms in GraphsVertex, edge, adjacency, degree, path.
Operations on Graphs iconOperations on Graphs BFS, DFS, adding/removing edges or vertices.
Searching Methods iconSearching MethodsLinear search, binary search, depth-first search, breadth-first search.
Sorting Methods iconSorting MethodsBubble sort, selection sort, insertion sort, merge sort, quick sort, heap sort.
Code Blocks iconCode BlocksA popular open-source IDE for C/C++ development.

Why Choose SevenMentor Data Structures with C & C++

Empowering Careers with Industry-Ready Skills.

Specialized Pocket Friendly Programs as per your requirements

Specialized Pocket Friendly Programs as per your requirements

Live Projects With Hands-on Experience

Live Projects With Hands-on Experience

Corporate Soft-skills & Personality Building Sessions

Corporate Soft-skills & Personality Building Sessions

Digital Online, Classroom, Hybrid Batches

Digital Online, Classroom, Hybrid Batches

Interview Calls Assistance & Mock Sessions

Interview Calls Assistance & Mock Sessions

1:1 Mentorship when required

1:1 Mentorship when required

Industry Experienced Trainers

Industry Experienced Trainers

Class Recordings for Missed Classes

Class Recordings for Missed Classes

1 Year FREE Repeat Option

1 Year FREE Repeat Option

Bonus Resources

Bonus Resources

Curriculum For Data Structures with C & C++

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Data Structures with C & C++ Course

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Course Content

About the DSA with C & C++ Course

The DSA course at Sevenmentor is built for learners who want strong fundamentals in programming and problem-solving. The training begins with C and C++ basics, then slowly moves into core data structures and algorithms that companies judge in interviews.

Instead of long theory sessions, trainers usually explain a concept, share a small example, and ask you to solve a variation on your own. You try, make mistakes, fix logic, and understand how real coding works.

As the course moves ahead, you start recognising patterns. Loops, arrays, pointers, recursion, OOP — everything starts fitting together. You begin writing clean solutions and thinking in steps rather than guessing answers. By the end, most learners feel comfortable solving medium level problems without getting stuck every few minutes, which is the actual goal of DSA training.
 

Advantages of Learning DSA with C & C++ at SevenMentor

Learning DSA here feels practical. Trainers focus on logic building, not memorising formulas.

A few things students usually appreciate:

Slow and friendly pace for complex topics like recursion or linked lists.

Code reviews where trainers point out mistakes in logic or structure.

Real interview-style problems added to the weekly practice.

Clean explanation of time complexity so you can judge if your approach is efficient.

Small batch size is helpful for every learner who gets their own time to ask any type of questions.

Flexible learning modes such as personal classroom or weekend classroom, or online/ virtual teaching.

Simple yet structured notes for quick revision.

Thus the total course helps you think like a problem solver and not just a random coder.
 

Why Choose SevenMentor for DSA Training?

Trainers who write C and C++ daily for development, embedded systems, or competitive coding.

Practice-heavy sessions with step-by-step dry runs.

Weekly problem sheets to help learners move from easy to moderate-level DSA questions.

Guidance on how to break down questions during interviews.

Support for building a strong base before moving to advanced languages like Java, Python, or full stack development

Batch options suitable for students, freshers, and working professionals.

Lots of small logic-building tasks that slowly improve your confidence.

By the end, learners do not just “complete a course.” They gain clarity in how to think, trace, debug, and solve.
 

What Are the Job Roles, Career Path & Salary Expectations?

Completing the DSA with C and C++ course opens up several paths:

Junior C/C++ Developer

Software Developer (Entry Level)

Embedded Programmer

Game Logic Developer

Systems Programmer

Support Engineer with coding skills

Competitive programming roles for product-based companies
 

Career Path:

Most beginners start with junior development work and slowly take on more complex tasks. Over time they move toward system programming, backend development, embedded system design, or competitive-level coding roles with 9 LPA packages.

Skilled DSA programmers in product-based companies: ₹10 LPA – ₹20 LPA

Companies value strong logic. Even if you learn other languages later, DSA stays the foundation for all technical growth.
 

Online Training for DSA with C & C++

The online training follows the same structure as the classroom sessions.

Live code walkthroughs, tracing of loops and memory behaviour, and step-based breakdowns for every problem.

Weekly assignments you solve and submit, followed by feedback.

Extra revision classes for tough topics like recursion, stacks, and trees.

Recorded Online DSA C++ Course sessions available for quick catch-up with rest of class.

Our excellent training method is Ideal for college students or working professionals who need flexible timing.
 

Corporate Training for DSA

Corporate batches are customised for teams that work on performance-critical applications. Focus on problem-solving, optimization, and writing efficient code for large systems. Trainers use examples relevant to the company’s domain. Short, practical sessions aimed at improving coding clarity and debugging skill. Teams learn how to write cleaner logic, reduce errors, and improve system performance.

Frequently Asked Questions

Everything you need to know about our revolutionary job platform

1

What is the eligibility to study data structures in C/C++?

Ans:
To study "Data Structures with C/C++", you need a solid foundation in either C or C++ programming languages, including basic concepts like variables, loops, conditional statements, functions, and ideally some understanding of pointers, as these are crucial for implementing data structures effectively in both languages.
2

What is the C and C++ data structure?

Ans:
Data structures are tools for storing and organising data. An array is a data structure that allows for the storage of several elements in a single variable. C++ also supports several other data structures, each of which is used to manage data in a different way
3

Is it tough to perform DSA?

Ans:
DSA may appear difficult at first, but with the appropriate technique and enough practice, it becomes far more manageable. The goal is to start with the fundamentals, practice consistently, and recognise common problem-solving patterns. What seems to be challenging will become easier and more natural with time.
4

Is it difficult to perform DSA in Python?

Ans:
Is DSA difficult to understand? DSA is a bit more difficult than learning the fundamentals of a programming language. With practice and determination, you can grasp the fundamental ideas of DSA.
5

Is DSA in C appropriate for placement?

Ans:
DSA is essential for obtaining a position in any product-based organisation. You will be hired if you have a strong understanding of DSA and have completed assignments. However, having 4-5 years of experience will improve your resume. In addition to DSA, you should understand the fundamentals of system design.
6

Can I learn DSA without first understanding C++?

Ans:
Is it possible to study DSA without understanding any programming languages? A: It's difficult. A basic familiarity of programming fundamentals is suggested.
7

Which came first: web development or DSA?

Ans:
So the proper approach is to devote time studying data structures first, then go on to web development, and then devote 5-10 hours a week to data structure practice. This will allow you to flourish in software development while also providing you with a solid foundation in data structures.
8

C or C++ are better for DSA?

Ans:
However, if you are learning C for the first time, I would recommend C++. C++ is what I use for all of my DSA interviews and coding challenges. I like to write and debug code in C++. I hope this clarifies things.
9

Should I perform DSA using Python or C++?

Ans:
Conclusion. Finally, the decision between DSA with C++ and Python is influenced by a variety of considerations, including performance constraints, code complexity, and the necessity for rapid prototyping. C++ is well-suited for performance-critical applications and scientific computing, but Python is popular for web development and machine learning.
10

Is it appropriate to learn DSA in C?

Ans:
The following are the reasons why the C language is ideal for learning data structures and algorithms: Deep learning: The C programming language demands the programmer to manually implement each feature, which aids in learning how data structures work at a fundamental level.
11

What are the advantages of a data structure in programming?

Ans:
Data structures are required for developing efficient algorithms. It facilitates reusability and abstraction. Using suitable data structures can help programmers save time while executing data operations including storage, retrieval, and processing. Manipulation of enormous volumes of data is simplified.
12

What is the importance of data structure in C?

Ans:
Data structures are important for two reasons: they make the code more efficient and easier to understand. In terms of efficiency, data structures assist the computer run the code faster by organising the data in an easy-to-process format.
13

What are the different applications of data structures?

Ans:
Data structures are useful in a variety of disciplines and are required for the development of efficient algorithms. Here are some important applications of data structures. Database Management Systems (DBMS) B-trees and hash tables are essential for indexing and organising database data.
14

What is the advantage of having structure in C++?

Ans:
One of the major advantages of a struct is that it allows us to transfer the complete structure to another function without having to pass each variable separately. We may also add members to the struct without having to rewrite all of the functions.
15

Is DSA important for job creation?

Ans:
DSA is essential for obtaining employment in any product-based organisation. You will be hired if you have strong DSA knowledge and have completed projects. However, having 4-5 years of experience would enhance your résumé. In addition to DSA, you should be familiar with the fundamentals of systems design.

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