DSA With C and C++ Course in Delhi
Build a strong foundation in problem-solving with the Data Structures and Algorithms course by SevenMentor. 
Open doors to high-paying software development roles in top tech companies.
With industry experts learn hands-on practical skills that will upscale your DSA journey. 
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Learning Curve for DSA With C and C++ in Delhi
Master In DSA With C and C++ in Delhi Course
OneCourseMultipleRoles
Empower your career with in-demand data skills and open doors to top-tier opportunities.
Skills & Tools You'll Learn -
Variables, 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 Structures such as if, else, for, and while that determine the order in which code executes, enabling decision-making and repetition in programs.
FunctionsReusable blocks of organized code that perform specific tasks, helping to simplify complex programs and improve modularity and clarity.
Arrays 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 A programming paradigm based on the concept of "objects", which contain both data (attributes) and behavior (methods), promoting modularity and reusability.
Encapsulation The practice of restricting access to the internal state and behavior of an object, allowing only controlled interaction through public methods.
Inheritance A mechanism in object-oriented programming that allows one class to inherit attributes and methods from another, enabling code reuse and hierarchy.
Polymorphism 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 The concept of hiding complex implementation details and showing only essential features of an object, improving code readability and maintainability.
Stacks 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 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 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.Algorithms-1750776608894.webp&w=96&q=75){kind=small}
Searching 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 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 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 A hierarchical data structure where each node has up to two child nodes, used for efficient searching, insertion, and deletion operations.
Heap 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 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 An optimization technique that solves complex problems by breaking them into simpler overlapping subproblems and storing their solutions to avoid redundant calculations.
Graphs 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 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 DSA With C and C++ in Delhi
Empowering Careers with Industry-Ready Skills.
Specialized Pocket Friendly Programs as per your requirements
Live Projects With Hands-on Experience
Corporate Soft-skills & Personality Building Sessions
Digital Online, Classroom, Hybrid Batches
Interview Calls Assistance & Mock Sessions
1:1 Mentorship when required
Industry Experienced Trainers
Class Recordings for Missed Classes
1 Year FREE Repeat Option
Bonus Resources
Specialized Pocket Friendly Programs as per your requirements
Live Projects With Hands-on Experience
Corporate Soft-skills & Personality Building Sessions
Digital Online, Classroom, Hybrid Batches
Interview Calls Assistance & Mock Sessions
1:1 Mentorship when required
Industry Experienced Trainers
Class Recordings for Missed Classes
1 Year FREE Repeat Option
Bonus Resources
Fastest 1:1 doubt support
Flexible EMI Plans
Adaptive LMS
Free Wifi Facilities
Flexible Scheduling
Ongoing Career Support
Placement Drives
GitHub Project Implementations
Real World Topics
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Latest Market Technology & Practical Training
Resume Building Session & Job Portals Training
Enhanced Capstone Projects for learning
Stand Out with an impressive Certificate
Weekday and Weekend Batches
Workshops & Seminars with Industry Experts
Unlimited Interview Calls
AWS Cloud Project Deployments
Live Quizzes
Resolve doubts any time through chat, voice notes, calling or meeting with instructors.
Curriculum For DSA With C and C++ in Delhi
BATCH SCHEDULE
DSA With C and C++ in Delhi Course
Find Your Perfect Training Session
Apr 5 - Apr 11
2 sessionsApr 12 - Apr 18
1 sessionsApr 19 - Apr 25
1 sessionsLearning Comes Alive Through Hands-On PROJECTS!
Comprehensive Training Programs Designed to Elevate Your Career
Custom Library of Data Structures
Pathfinding Visualizer
Real-Time Chat Server (with Queues & HashMaps)
Autocomplete Feature (Trie Based Project)
File Compression Tool (Huffman Coding)
No active project selected.
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