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Become a C++ Certified Professional with our C++ Course in just 2 months!
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This DSA in C++ Course Training will help you master the essential concepts of data structures and algorithms using C++, one of the most powerful programming languages. We have covered topics like arrays, linked lists, trees, graphs, and sorting algorithms.
C++ offers fine control over system resources and memory management, making it ideal for implementing complex data structures and algorithms. A Senior C++ Developer in the United States can earn up to US$115,000 – Indeed
| Criteria | C++ | Java | Python |
|---|---|---|---|
| Ease of Use | Verbose | Moderately verbose | Simpler and dynamically typed |
| Scalability | Platform-dependent | Highly scalable and platform-independent | Cross-platform |
| Deployment | Android and web application | Enterprise-level applications | Data Science and Machine Learning |
| Average Salary | INR 8,20,368 | INR 12,56,424 | INR 15,03,492 |
Basic Understanding: You should be familiar with the basics of C++, including data types, control structures (like loops and conditionals), functions, and basic data structures (like arrays, linked lists, and stacks).
Logical Thinking: A strong grasp of logical thinking and problem-solving skills is essential.
Basic Mathematics: A basic understanding of mathematics, especially topics like algebra and basic combinatorics, will be helpful as these are often used in algorithms.
Yes, C++ is a solid language for beginners, particularly those interested in systems programming or understanding the fundamentals of programming at a deeper level. Its complexity can be challenging but rewarding.
Strongly Typed and Performance-Oriented:
Widely Used in System Programming and Game Development:
Large Community and Resources:
Supports Object-Oriented Programming:
Extensive Libraries and Frameworks:
Introduction to C++, setup environment, basic syntax, and "Hello World!" program. Data types, variables, and constants. Operators and expressions. Control structures: if-else, switch-case. Loops: for, while, do-while. Functions: declaration, definition, calling, and recursion. Arrays: single-dimensional and multi-dimensional arrays. Pointers: basics, pointer arithmetic, and pointers with arrays. Dynamic memory allocation: new and delete operators. Strings: C-style strings and the string class.
Introduction to Big O notation, Omega (Ω), and Theta (Θ) notations. Time complexity analysis: best case, worst case, and average case. Practical examples of complexity analysis. Space complexity analysis.
Introduction to OOP, classes, and objects. Constructors and destructors. Access specifiers: private, public, and protected. Member functions and inline functions. Static members and friend functions. Inheritance: single, multiple, and multilevel. Polymorphism: function overloading and operator overloading. Virtual functions and pure virtual functions. Abstract classes and interfaces. Exception handling: try, catch, and throw.
Introduction to data structures, arrays, and linked lists (singly linked list). Doubly linked list and circular linked list. Stacks: implementation using arrays and linked lists. Queues: implementation using arrays and linked lists. Priority queues and deques. Introduction to trees, binary trees, and binary search trees. Tree traversal techniques: inorder, preorder, postorder. AVL trees: balancing binary search trees. B-trees and B+ trees. Heaps: min-heaps and max-heaps. Trie: implementation and applications.
Sorting algorithms: bubble sort, selection sort, insertion sort. Merge sort and quick sort. Searching algorithms: linear search and binary search. Heap sort and radix sort. Hashing and hash tables. Dynamic programming: concepts and examples. Greedy algorithms: concepts and examples. Graph algorithms: BFS and DFS. Shortest path algorithms: Dijkstra's algorithm. Minimum spanning tree: Kruskal's and Prim's algorithms. Backtracking algorithms and examples.
Practice problems on Sorting algorithms, Searching algorithms, Dynamic programming, Greedy algorithms.
100+ Hrs Instructor Led Training
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Multi-language
No-cost EMI Option
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Rinex's training will give you hands-on experience in mastering the key concepts and skills required for your chosen field. You will learn both basic and advanced concepts, guided by industry experts. Upon successful completion, you will receive a course completion certificate from Rinex.
Rinex offers a wide range of courses in related fields such as data science, big data, machine learning, AI, and more.
Yes, Rinex provides a variety of free resources to help you get started in your chosen field.
Yes, we provide practice tests to help you prepare for your exams.
Upon completion, you can apply for various roles related to your course, such as software developer, data analyst, and more.
We provide both live sessions and pre-recorded videos.
Top companies in the industry hire professionals with expertise in the field you're studying. Specific companies will depend on the course content.
You can enroll by clicking on the enroll button on our website and completing the registration process.
You can access the recorded session and catch up on what you missed.
You are allowed to have a maximum of 4 1:1 technical sessions per month.
