Data Structures & Algorithms Course

feature-iconBuild a strong foundation in problem-solving with the Data Structures and Algorithms course by SevenMentor.
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Learning Curve for Data Structures and Algorithms

Learning curve for Data Structures and Algorithms

Master In Data Structures and Algorithms Course

OneCourseMultipleRoles

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

Software Engineer
BackEnd Developer
Algorithm Engineer
Data Scientist
Competitive Programmer
Machine Learning Engineer
Software Development Engineer
Systems Programmer
DataBase Engineer
Blockchain Developer

Skills & Tools You'll Learn -

Variables, Data Types, and Operators iconVariables, Data Types, and OperatorsFundamental components of programming used to store information (variables), define the type of data (data types), and perform computations or logic (operators).
Control Flow iconControl Flow Structures such as if, else, for, and while that determine the order in which code executes, enabling decision-making and repetition in programs.
Functions iconFunctionsReusable blocks of organized code that perform specific tasks, helping to simplify complex programs and improve modularity and clarity.
Arrays and Strings iconArrays and Strings Arrays are ordered collections of elements stored at contiguous memory locations, while strings are sequences of characters used to represent text.
Object-Oriented Programming iconObject-Oriented Programming A programming paradigm based on the concept of "objects", which contain both data (attributes) and behavior (methods), promoting modularity and reusability.
Encapsulation iconEncapsulation The practice of restricting access to the internal state and behavior of an object, allowing only controlled interaction through public methods.
Inheritance iconInheritance A mechanism in object-oriented programming that allows one class to inherit attributes and methods from another, enabling code reuse and hierarchy.
Polymorphism iconPolymorphism The ability of different classes to respond to the same method call in different ways, allowing functions to use entities of different types at runtime.
Abstraction   iconAbstraction The concept of hiding complex implementation details and showing only essential features of an object, improving code readability and maintainability.
Stacks and Queues iconStacks and Queues Linear data structures where stacks follow a Last-In-First-Out (LIFO) approach and queues follow a First-In-First-Out (FIFO) approach, used in data processing.
LIFO and FIFO iconLIFO and FIFO Two types of data access strategies: LIFO (Last-In-First-Out), used in stacks, and FIFO (First-In-First-Out), used in queues, each serving different use cases.
Recursion and Backtracking iconRecursion and Backtracking Recursion is a method where a function calls itself to solve subproblems, while backtracking is an algorithmic technique used to find solutions by exploring all possibilities and undoing steps when necessary.
Searching Algorithms iconSearching Algorithms Algorithms designed to retrieve data from a structure, including methods like linear search and binary search, which vary in efficiency and use cases.
Sorting Algorithms iconSorting Algorithms Algorithms that arrange data in a specific order, such as bubble sort, selection sort, quicksort, and mergesort, essential for organizing and optimizing data.
Hash Tables and Hash Functions iconHash Tables and Hash Functions Hash tables store key-value pairs for fast access, using hash functions to compute an index that determines where data is stored in the table.
Binary Trees iconBinary Trees A hierarchical data structure where each node has up to two child nodes, used for efficient searching, insertion, and deletion operations.
Heap Structures iconHeap Structures Specialized binary trees that maintain a heap property—used to implement priority queues where the highest (or lowest) priority element is always accessible.
Greedy Algorithms iconGreedy Algorithms Algorithms that make the most optimal choice at each step in the hope of finding a global optimum, often used in optimization problems like scheduling and pathfinding.
Dynamic Programming iconDynamic Programming An optimization technique that solves complex problems by breaking them into simpler overlapping subproblems and storing their solutions to avoid redundant calculations.
Graphs iconGraphs Data structures made up of vertices (nodes) and edges (connections) used to represent and solve problems involving networks, such as routing and relationships.
Arrays in Python iconArrays in Python In Python, arrays are implemented using lists or the array module, allowing indexed storage of elements in a single variable, with powerful built-in methods for manipulation.

Why Choose SevenMentor Data Structures and Algorithms

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 and Algorithms

BATCH SCHEDULE

Data Structures and Algorithms Course

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Jan 4 - Jan 10

2 sessions
04
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Weekend Batch
10
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Weekend Batch

Jan 11 - Jan 17

1 sessions
12
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Regular Batch

Jan 18 - Jan 24

1 sessions
19
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Classroom/ Online
Regular Batch

Learning Comes Alive Through Hands-On PROJECTS!

Comprehensive Training Programs Designed to Elevate Your Career

Custom Library of Data Structures

Custom Library of Data Structures

Pathfinding Visualizer

Pathfinding Visualizer

Real-Time Chat Server (with Queues & HashMaps)

Real-Time Chat Server (with Queues & HashMaps)

Autocomplete Feature (Trie Based Project)

Autocomplete Feature (Trie Based Project)

File Compression Tool (Huffman Coding)

File Compression Tool (Huffman Coding)

No active project selected.

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KEY Features that Makes Us Better and Best FIT For You

Expert Trainers

Industry professionals with extensive experience to guide your learning journey.

Comprehensive Curriculum

In-depth courses designed to meet current industry standards and trends.

Hands-on Training

Real-world projects and practical sessions to enhance learning outcomes.

Flexible Schedules

Options for weekday, weekend, and online batches to suit your convenience.

Industry-Recognized Certifications

Globally accepted credentials to boost your career prospects.

State-of-the-Art Infrastructure

Modern facilities and tools for an engaging learning experience.

100% Placement Assistance

Dedicated support to help you secure your dream job.

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Quality training at competitive prices with flexible payment options.

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Revisit course content anytime for continuous learning.

Personalized Attention

Small batch sizes for individualized mentoring and guidance.

Diverse Course Offerings

A wide range of programs in IT, business, design, and more.

Course Content

Introduction to Data Structures & Algorithms

Data Structures and Algorithms aren’t just topics from a textbook — they’re the backbone of how real software works behind the scenes. Every app you use every site you browse and every automation running quietly in the background depends on how efficiently data is stored accessed and processed.

The DSA training at Sevenmentor is built for learners who want to strengthen their problem-solving mindset and understand how logic actually flows inside a program. Instead of starting with heavy theory the course starts with small relatable examples — how a list changes when you insert a value how a function decides the next step or how time complexity affects a simple search. These quick practical demos help you “see” how algorithms work before diving into harder topics.

As the course moves forward you’ll work with arrays linked lists stacks queues trees graphs sorting searching and real algorithmic patterns. By the end learners not only know the concepts — they know how to break down a problem choose the right approach and build solutions that actually scale.

 

Benefits of Learning Data Structures & Algorithms:

DSA is one of the few topics that builds your logical foundation for everything else — whether you’re into web development software engineering AI cloud or even competitive programming.

Some key benefits of learning DSA at Sevenmentor:

The DSA course by SevenMentor Institute begins with simple logic-building exercises and gradually moves into deeper concepts like recursion dynamic programming and graph traversal.

You’ll practice on real coding problems — from re-arranging data to optimizing time complexity so you feel the difference between a basic solution and an efficient one.

Trainers share approaches they’ve used in real development work helping you understand why companies value DSA knowledge so much.

Sessions are available in multiple formats — offline online or hybrid — making it easier for both working professionals and students to manage time.

DSA learning at Sevenmentor isn’t about memorizing algorithms. So it is not ever about building confidence but also thinking of step-by-step process and learning how to tackle problems without getting stuck in the middle of development.

 

Why Learn Data Structures & Algorithms?

DSA is what turns you from a “coder” into a “problem solver.” Once you start practicing you naturally begin to approach problems differently — asking questions breaking tasks into steps and choosing the smartest route instead of the first one.

Here’s why learning DSA is so impactful:

You understand how data really behaves inside memory not just on the screen.

DSA forms the base for careers in software development backend engineering full-stack development and competitive programming.

Even people from non-programming backgrounds find that DSA training sharpens their logical thinking and makes advanced technologies easier to learn later

You develop a structured way of thinking — something that helps beyond programming as well.

Learning DSA at Sevenmentor is practice-driven. You try break things fix them and eventually solve problems you never thought you could.

Features of the DSA Course at Sevenmentor

The DSA program is designed to feel hands-on interactive and very practical — more like a workshop than a typical classroom.

 

Key highlights:

Hands-on Coding Sessions: Instead of long theory classes students spend more time writing and testing small programs debugging logic and checking time complexity.

Real Problem-Solving Practice: Every module ends with exercises based on interviews coding assessments and real software scenarios.

Up-to-date Tools: Practice using online judges IDEs and coding platforms commonly used in the industry.

Small Batch Size: Trainers track where students struggle and help individually. The goal is to understand why something works not just memorize it.

Guided Mentorship: Doubt sessions logic-building discussions and personalized debugging help are included throughout.

Learning DSA here is more about understanding patterns writing clean logic and building confidence step by step.

 

What is the Approximate Syllabus that is Covered in the DSA Training Curriculum?
 

Here’s an overview of the curriculum:

Introduction to DSA which involves understanding the importance of data handling and algorithmic thinking within the context of your code.

Foundational Programming Logic: Loops conditions functions and time-space complexity basics.

Linear Data Structures: Arrays linked lists stacks queues and their real implementation.

Searching & Sorting Algorithms: From basic to optimized approaches.

Trees & Binary Trees: Traversals insertions deletions and common use cases.

Advanced Trees: Binary Search Trees AVL Heaps Tries.

Graph Theory: BFS DFS shortest paths connectivity and network-style problems.

Every module includes coding practice and discussions on how and when to use each structure or algorithm.
 

Why Choose Sevenmentor for DSA Training?

The difference at Sevenmentor lies in how the training is conducted — friendly practical and focused on real improvement. Trainers guide learners like mentors rather than lecturers.

Some reasons students choose Sevenmentor:

Industry-Experienced Trainers are hired to conduct our DSA Classes with actual programmers who’ve solved actual production type logic and performance issues on known products.

Real Coding Problems: Students practice on datasets interview-style questions and project-level logic.

Flexible Batches: Morning evening weekend and online batches make it easy for all schedules.

Placement Support: Resume sessions mock interviews problem-solving practice rounds and personalized feedback.

Fast-Track Options: Complete the essentials of DSA within 2–3 months without skipping important logic.

Supportive Learning Culture: Trainers stay approachable and often continue helping even after sessions end.

The aim of Sevenmentor’s DSA program is to help learners build real skill and confidence — not just complete a syllabus.
 

Online Data Structures and Algorithms Training

Many learners prefer studying from home due to work college or personal commitments so Sevenmentor also offers a live online version of the same DSA course. These are not pre-recorded sessions — they’re live interactive classes where you code along with the trainer.

During online classes:

  • Trainers share screens explain concepts visually and solve problems step by step.
  • Students get small coding tasks and real-time debugging help.
  • Projects assignments and group discussions run just like classroom sessions.

Working professionals students outside Pune and learners who prefer flexibility find the online model extremely convenient.
 

Corporate DSA Training

For teams who need stronger problem-solving skills Sevenmentor provides tailored corporate DSA training. These sessions focus on improving code efficiency optimizing logic and understanding performance — all based on the company’s ongoing tasks.

Corporate training includes:

On-site or remote sessions based on the company’s preference.

Examples tailored to the team’s coding stack or real project logic.

Hands-on tasks like optimizing existing functions restructuring data flow or reducing execution time.

Customized modules after discussions with team leads to match business goals.

Most teams continue using the techniques code snippets and problem-solving patterns long after training ends. Corporate DSA training by Sevenmentor focuses on real outcomes not just theory.

Frequently Asked Questions

Everything you need to know about our revolutionary job platform

1

What is a Data Structure?

Ans:
The way data is arranged (stored) and modified for access and retrieval is known as the data structure. Additionally, it establishes connections and creates algorithms by defining the links between various data sets.
2

What is a linked list Data Structure?

Ans:
A linear data structure is a series of data objects in which the pieces are not kept in memory locations that are next to each other. A chain is created by connecting the pieces with pointers. Every element is a distinct entity known as a node.
3

Which careers are ideal after learning DSA?

Ans:
A wide range of job opportunities are open after finishing your DSA course like Web Developer, Data scientist, ML Engineer, Full Stack Developer, Data architect, and more.
4

Does the course include practical project assignments?

Ans:
Yes, a lot of practical and relevant projects will be a part of this course. You can work on those. In addition, following each class, you will receive regular assignments. These projects are based on modern products that are majorly successful.
5

What is an algorithm?

Ans:
An algorithm is a methodical approach to data manipulation or problem solving. It specifies a series of steps that must be followed in a specific order in order to get the intended result.
6

What are Binary trees?

Ans:
A binary tree is a type of tree data structure where each node contains two children, referred to as the left and right nodes. The root is the only node at the start of the tree.
7

Will all relevant topics be covered in the Data Structures and AlgorithmsCourse by Sevenmentor?

Ans:
Yes, we’ll cover all important and basic topics relevant for solving complex problems in this industry. You can take an overview in the syllabus section of what you will learn in this course.
8

Is DSA difficult to learn?

Ans:
With the correct training, DSA can be easily learned by understanding and consistent practice, and our program is made for those who don't have a lot of coding knowledge, so even beginners can learn it.
9

Who can do this course?

Ans:
The course specifically requires no requisites as we work on students right from beginner levels. Anyone with basic Personal computing expertise can take this course.
10

Are SevenMentor's Data Structures and Algorithms trainers certified?

Ans:
Our instructors are Data Structures and Algorithms -certified experts with immense experience in the IT industry. Our experts will provide you insights into current trends and relevant technologies that will help you get more into practicality of the subject than just theoretical knowledge.
11

What's the fee structure for Data Structure and Algorithms Course?

Ans:
Cost varies by course duration and format (online/offline). Contact our counselors for current fees - we offer installment plans making it easy for more students to afford.
12

Is programming necessary for learning DSA?

Ans:
Though there’s no such pre-requisite needed to take this course, as we’ll be covering everything from the basics to advance. By the end of this course you’ll be efficient in python programming and solving DSA questions.
13

Will I get a certificate after completing the DSA course offered by SevenMentor ?

Ans:
Yes! We provide a certificate after successful completion of the course. Our certificate is accredited globally and will add immense value to your skills and resume.
14

Will you provide placement?

Ans:
We don’t directly provide placements, though our placement assistance team will conduct mock interviews and assessment. We will help you with updating resumes to help you prepare for job interviews.
15

How to join SevenMentor's Data Structures and Algorithms Course?

Ans:
Visit our center or website to schedule a free level-check test. We'll recommend the right batch for you. Limited seats available - book early to secure your spot before intake deadlines.

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