Data Structures & Algorithms using C and C++ Course Overview

Data Structures & Algorithms using C and C++ Course Overview

The Data Structures & Algorithms using C and C++ certification is concerned with understanding the fundamentals of data storage and algorithm design, along with a command over the programming languages C and C++. Data structures include arrays, linked lists, stack, queues, trees, graphs, etc., and Algorithms encompass searching, sorting, hashing, and advanced algorithms like Greedy algorithms, Dynamic Programming and Graph Algorithms. These skills are critical in problem-solving and optimizing system performance. Industries utilise these skills to solve complex computing problems, develop efficient software, analyze data, and automate operations. This certification signifies a profound understanding of these crucial elements of computer science and software engineering.

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  • Live Online Training (Duration : 64 Hours)
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Course Prerequisites


The course does not require any prior knowledge of either C or C++. However, a basic understanding of programming concepts such as variables, decision making, loops and functions is important. Knowledge of data structure and algorithms is an added advantage.

Target Audience for Data Structures & Algorithms using C and C++ Certification Training

- Computer Science students seeking proficiency in Data Structures and Algorithms
- Software developers aiming to improve problem-solving skills
- IT professionals wanting to enhance their knowledge in C/C++
- Coding enthusiasts interested in competitive programming
- Beginners in the programming world aiming for a strong foundation

Why Choose Koenig for Data Structures & Algorithms using C and C++ Certification Training?

• Certified instructors to help you fully understand Data Structures & Algorithms using C and C++
• Customized training programs that accommodate your needs and goals
• Destination training facilities spread across four continents
• Affordable pricing to ensure quality education within your budget
• Boost your career by equipping you with in-demand skills
• Flexible dates to match your personal schedule
• Instructor-led online training for a comfortable learning experience
• Access to a wide range of IT and business courses
• Top training institute with accreditations from recognized bodies
• Possibility to save on accommodation and travel expenses with the institute's "fly-me-a-trainer" option.

Data Structures & Algorithms using C and C++ Skills Measured

After completing a Data Structures & Algorithms using C and C++ certification training, an individual can acquire skills like understanding, implementing and mastering different data structures and algorithms, efficient problem-solving, implementing performance driven solutions, memory management, understanding of different programming languages and their nuances, as well as enhancing analytical and logical thinking. This fundamentally strengthens their coding abilities and efficiency.

Top Companies Hiring Data Structures & Algorithms using C and C++ Certified Professionals

Top tech companies like Google, Microsoft, Qualcomm, Amazon, Facebook, and Adobe are among those hiring Data Structures & Algorithms certified professionals with C and C++ knowledge. These organizations require their expertise for software development, system programming, machine learning algorithms, and managing complex data.

Learning Objectives - What you will Learn in this Data Structures & Algorithms using C and C++ Course?

The primary objective of a Data Structures & Algorithms course utilizing C and C++ is to impart knowledge and practical understanding of fundamental concepts like arrays, linked lists, stacks, queues, trees, and graphs. The course also aims to hone students' abilities to select and implement appropriate data structures and algorithms that will solve specific problems. Students will learn to code efficiently in C and C++, develop problem-solving skills through algorithm design, and obtain the ability to analyze their efficiency. Ultimately, the course intends to equip students with the necessary computational thinking skills that can be applied in varying software and system design scenarios.