C Programming with DSA – Complete C & DSA with C Certification Course [Hindi]
![course demo](https://data-flair.training/wp-content/uploads/2023/08/course-demo-250.webp)
Take our combined course on C and Data Structures and Algorithms (DSA) using C to start your road toward mastery. With the integration of fundamental DSA concepts and C programming principles, this all-encompassing program equips trainees with a strong skill set to solve real-world coding issues.
What will you take home from this C and DSA using C Course?
- Self paced video-based course
- Complete study materials, practicals, quizzes, projects
- Acquire practical knowledge which industry needs
- Practical C and DSA using C course with real-time case-studies
- Lifetime access with industry-renowned certification
Start Anytime (self-paced) |
Duration 80+ Hrs |
Access Duration 2 Years |
Price
|
Enroll Now |
![course demo](https://data-flair.training/wp-content/uploads/2023/08/course-demo-250.webp)
What will you take home from this C and DSA using C Course?
- Self paced video-based course
- Complete study materials, practicals, quizzes, projects
- Acquire practical knowledge which industry needs
- Practical Matplotlib course with real-time case-studies
- Lifetime access with industry-renowned certification
Start Anytime, it’s self-paced |
Course Duration 80+ Hrs |
Access Duration 2 Years |
Price
|
Why should you enroll in this C and DSA using C Course?
- Learn the foundational concepts of the C programming language, such as variables, data types, functions, control structures, and pointers
- Acquire mastery over fundamental data structures, including arrays, linked lists, stacks, queues, trees, and graphs, and comprehend how to use them to solve issues
- Gain knowledge of a variety of algorithms and comprehend their effectiveness and uses in relation to graph traversal, sorting, dynamic programming, and other tasks
- Practical coding exercises, algorithmic challenges, and real-world projects can help you improve your problem-solving skills
- Adopt best practices for developing clear, concise, and maintainable code by emphasizing readability, modularity, and code optimization
- To ensure software accuracy and dependability, learn efficient debugging techniques and tools to find and fix faults in your code
- Gain confidence in your technical interview preparation by being an expert in both DSA themes and C programming principles that are frequently asked in coding interviews
- Our course ensures a well-rounded skill set by providing a thorough understanding of both C programming and Data Structures and Algorithms using C
- Aspiring software developers can create effective and scalable applications by mastering C and DSA, which provides a solid basis
- DSA skills are essential for coding interviews and real-world problem-solving, whereas C is frequently used in system programming, embedded systems, and operating systems
- Possessing DSA and C programming skills gives you a wide range of job options in data analysis, system architecture, software development, and other fields
- You can adapt to varied technological stacks and employment positions thanks to the abilities you’ll learn in this course, which are transferable across multiple programming languages and domains
- Employers strongly value DSA and C programming skills, and many job advertisements specify that these are prerequisites
- Our course places a strong emphasis on hands-on learning, making sure that you get real world skills
- Throughout your learning process, receive individualized assistance, comments, and mentorship from knowledgeable teachers with experience in the field
C and DSA using C Course Objectives
Our C and DSA combination course has been carefully designed to provide participants with a thorough knowledge of Data Structures and Algorithms (DSA) and the C programming language, two essential building blocks of computer science. This C and DSA with C course provides an organized learning path that covers the fundamentals of C programming and dives into the nuances of creating effective data structures and algorithms.
It is designed for both beginning and intermediate learners. Through hands-on coding activities and real-world examples, participants will study the fundamentals of procedural programming, memory management, and problem-solving approaches under the direction of knowledgeable instructors. Apart from becoming proficient in the syntax and semantics of the C language, participants will also explore the domain of DSA.
They will learn how to create fundamental data structures like arrays, linked lists, stacks, queues, trees, and graphs, as well as evaluate their performance through the use of sorting, searching, and traversal algorithms. Through practical exercises, evaluations, and interactive dialogues, attendees will acquire the ability to write clear, concise code and cultivate the critical thinking abilities required to confidently address intricate computational issues.
The C + DSA with C course seeks to accomplish a number of important goals in order to provide participants with the fundamental abilities and understanding of Data Structures and Algorithms (DSA) and the C programming language. First, by studying basic ideas including variables, data types, control structures, functions, and pointers, participants will gain a strong foundation in C programming.
Participants will become proficient in producing clear, effective, and maintainable C code through hands-on exercises and coding assignments, equipping them for real-world software development settings. A thorough comprehension of DSA principles—which encompass a variety of data structures like arrays, linked lists, stacks, queues, trees, and graphs—as well as algorithms for sorting, searching, and dynamic programming—is another goal of the C Programming and Data Structures & Algorithms using C course.
By giving participants the chance to work on a range of algorithmic challenges and projects, the online C and DSA using C course also aims to improve their ability to solve problems and think algorithmically. Examining problem specifications, creating suitable data structures and algorithms, and putting effective solutions into practice are all skills that participants will acquire.
Why should you learn C and DSA using C?
In the world of applications development C programming along with the technology of DSA has proved quite valuable. Below are some statements and facts which will justify the same-
- “C is the lingua franca of programming.” – Bjarne Stroustrup
- “Data structures and algorithms are the heart of computer science.” – Douglas Crockford
- According to the Stack Overflow Developer Survey 2021, C remains one of the top programming languages, with a strong presence in industries like finance, telecommunications, and embedded systems.
- “Understanding of data structures and algorithms is the cornerstone of becoming a proficient programmer.” – Gayle Laakmann McDowell
- “Learning C programming and mastering DSA are essential steps towards becoming a well-rounded software engineer.” – Industry Expert
What is C and DSA using C?
Programming languages like C are popular because of their effectiveness and adaptability. C, which was created in the early 1970s, has endured and is now essential to software development and computer science education. Although its syntax is expressive and relatively basic, it is powerful enough to handle both high-level application development and low-level system programming, making it accessible to newcomers.
The reasons why C is so popular are its direct hardware resource access, effective memory management, and cross-platform portability. It is widely used in embedded systems, operating systems, and application software. It forms the basis of several contemporary programming languages. The foundation of computer science, data structures and algorithms (DSA) are necessary for creating scalable and effective software.
DSA is centered on efficiently managing and organizing data as well as creating algorithms that solve computational issues quickly. Understanding different data structures, including arrays, linked lists, stacks, queues, trees, and graphs, as well as putting search, sorting, traversal, and optimization algorithms into practice, are all part of learning DSA in the context of C programming. Programmers who possess DSA proficiency are valuable assets in the software development industry since it allows them to examine and solve difficult problems in a methodical manner.
What to do before you begin?
Students are recommended to go through the prerequisites before beginning this learning adventure. The following mentioned prerequisites will guide you better to gain full potential of this C and DSA with C course-
- It is advised to have some familiarity with programming principles such as loops, functions, and variables.
- Gaining a rudimentary understanding of the C programming language can facilitate the acquisition of C and DSA ideas more quickly.
- Comprehension algorithmic principles will benefit from a fundamental comprehension of mathematical processes.
- To improve your problem-solving skills, which are essential for learning data structures and algorithms, practice answering simple problems.
Who should go for this C and DSA using C course?
Regardless of experience level or background, this C and DSA with C course is appropriate for anybody who wants to learn the foundations of programming and problem-solving with the C programming language, Data Structures, and Algorithms. Following people should definitely go for this training-
- Programming Enthusiasts
- IT Graduates and Students
- Aspiring Software Developers
- Game Development Enthusiasts
- Aspiring Cyber Security Analysts
- Algorithm Engineer Enthusiasts
By enrolling in our C and DSA using C course, you can expect the following benefits:
During this online C and DSA C course, participants will go on an in-depth exploration to grasp the foundations of Data Structures and Algorithms (DSA) and the C programming language. Essential concepts like variables, data types, control structures, functions, pointers, and memory management will be taught to participants starting with C. Through gaining a thorough understanding of C syntax, semantics, and best practices, they will be able to produce code that is organized, effective, and portable.
As they advance, learners will delve deeper into DSA and examine basic data structures, including trees, graphs, queues, stacks, linked lists, arrays, and stacks. Along the way, they will master a variety of algorithms for sorting, searching, graph traversal, dynamic programming, and other applications, enhancing their ability to solve problems and think algorithmically. To reinforce learning and apply information in real-world circumstances, participants will work on real-world projects, algorithmic problems, and hands-on coding activities throughout the C and DSA with C courses.
They will gain knowledge on how to assess an algorithm’s time and space complexity, optimize code for speed, and create effective answers to computational issues. Participants will leave the course with a thorough understanding of both C programming and DSA, as well as the abilities and self-assurance to take on challenging programming tasks and pursue fulfilling jobs in computer science and software development.
The C and DSA C combo course provides participants with a wealth of advantages, equipping them with critical abilities and information necessary for a prosperous software development career. Among the principal advantages are-
- Participants acquire a solid foundation in data structures, algorithms, and the C programming language, setting the stage for further study and computer science specialization.
- Through practical exercises, coding challenges, and algorithmic problem-solving strategies, the course improves participants’ problem-solving skills and equips them to confidently take on real-world programming difficulties.
- A broad number of professional options in software development, systems programming, application development, data analysis, and other fields are accessible to those who possess proficiency in C programming and DSA.
- The skills that participants receive are versatile and may be applied to a wide range of industries and areas, allowing them to adapt to diverse employment roles and technological stacks.
- The course material is created in accordance with industry best practices and standards, guaranteeing that students acquire real-world skills and information that employers highly value.
- Skilled teachers who have experience in the field offer participants advice and support in the form of tailored critiques, industry trends and practices, and mentorship.
- The course gives students the chance to network with mentors, colleagues, and business leaders in the field. By doing so, they can forge lasting connections and broaden their professional circle.
Jobs after Learning this C and DSA using C Course
With a strong background in problem-solving and programming, participants are equipped with the skills necessary to succeed in the exciting and quickly expanding field of computer science. After taking this C programming and DSA with C course, you can look up for the following job options-
- Software Developer
Participants can work as software developers, designing, creating, and maintaining software programs for a range of sectors and domains, provided they are proficient in C programming, Data Structures, and Algorithms.
- Systems Programmer
C programmers and DSA specialists are well-suited for positions as systems programmers, where they work with operating systems, device drivers, and low-level software components.
- Application Developer
Participants can choose to specialize in creating desktop, web, or mobile applications using the C programming language. They can use their understanding of data structures and algorithms to maximize functionality and performance.
- Embedded Software Engineer
Using their knowledge of C and effective algorithms, participants can create firmware and software for embedded systems, Internet of Things devices, and real-time systems. This makes careers in embedded systems programming very feasible.
- Algorithm Engineer
Those with a solid background in DSA are able to work as algorithm engineers, designing and refining algorithms for a range of uses, including machine learning, data processing, and optimization issues.
- Game Developer
Those who are proficient in C programming and data structures can work on game engines, gameplay mechanics, and performance optimization as game developers when they enter the gaming industry.
- Quality Assurance Engineer
Those interested in this field might also consider employment in testing and quality assurance, where they create thorough test cases using their knowledge of data structures and algorithms to guarantee the dependability, functionality, and performance of software products.
- Database Developer
Database developers create and optimize database schemas, query performance, and data storage technologies. Those with a strong grasp of data structures and algorithms are well-suited for these positions.
- Cybersecurity Analyst
Participants can specialize in cybersecurity by assessing and mitigating security threats, putting encryption techniques into practice, and creating secure software solutions. This requires an understanding of data structures and algorithms.
- Research Scientist
People with an interest in development and research can work as research scientists. They can use their knowledge of algorithms and data structures to carry out cutting-edge research in fields like computational biology, machine learning, and artificial intelligence.
Our students are working in leading organizations
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Online C + DSA using C Training Course Curriculum
- Overview of Matplotlib library
- Installation and setup
- Basic plotting with plot() function
- Anatomy of a Matplotlib figure
- Adding titles and labels
- Changing colors and line styles
- Adding gridlines and legends
- Adjusting figure size and resolution
- Creating multiple plots in the same figure
- Using subplot() function to create subplots
- Customizing subplot layout and spacing
- Histograms and bar charts
- Scatter plots
- Box plots and violin plots
- 3D plots
- Pie charts
- Polar plots
- Contour plots
- Heatmaps
- Adding annotations and text to plots
- Using arrows and markers for emphasis
- Annotating specific data points
- Using Matplotlib with Pandas DataFrames
- Plotting time series data
- Grouped and stacked plots
- Working with color maps
- Creating custom color maps
- Using styles and themes
- Saving plots as image files (PNG, JPEG)
- Exporting plots to PDF files
- Embedding plots in web applications
- Introduction to interactive plotting with tools like Jupyter Notebook
- Adding interactivity with widgets and controls
- Case studies and examples from various domains
- Best practices for effective data visualization
- Hands-on projects to reinforce learning
- Building interactive and dynamic visualizations
- Presenting insights from data using Matplotlib
Features of C and DSA using C Course
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C Programming and DSA using C Online Training FAQs
A thorough understanding of Data Structures and Algorithms (DSA) and the C programming language is what the C and DSA combo course aims to impart on its students. Along with key data structures including arrays, linked lists, stacks, queues, trees, and graphs, it covers basic ideas in C programming, including variables, control structures, functions, and pointers.
A beginner with little to no programming experience or an intermediate programmer wishing to improve their grasp of C and DSA C can both benefit from this course. It is perfect for professionals, learners, and anyone else who wants to learn the fundamentals of programming and utilizing C and DSA to solve problems.
A fundamental understanding of programming ideas, experience with the C programming language, mathematical aptitude for assessing algorithmic difficulties, and problem-solving abilities are prerequisites for this C Programming and Data Structures using C course. Although it is helpful, prior programming and C language experience is not required as the course covers subjects from beginning to advanced.
A wide range of topics are covered in the section on C programming, such as variables, data types, loops (for, while, do-while), functions, arrays, pointers, strings, structures, file handling, and control structures (if, else, switch). The course will teach participants the syntax, semantics, and best practices of writing organized, efficient C code.
The course’s DSA portion is organized to cover basic data structures including arrays, linked lists, stacks, queues, trees, and graphs. It then goes on to discuss algorithms for various tasks like sorting, searching, and graph traversal, as well as dynamic programming. To support learning, each topic is provided with concise explanations, real-world examples, and interactive exercises.
The programming language C is used to implement the algorithms in the DSA section. Utilizing their understanding of C, participants will develop a variety of algorithms, assess their effectiveness, and resolve algorithmic puzzles.
Through coding exercises, computational challenges, and real-world projects, the course places a strong emphasis on practical learning. In programming assignments and projects, participants will have the chance to put their theoretical knowledge to use by creating algorithms, implementing data structures, and solving coding puzzles.
To gauge how well participants comprehend the material, the course uses quizzes, exams, and coding assignments. The purpose of these tests is to give participants feedback on their progress during the course and to reinforce what they have learned.
A certificate of completion will be awarded to individuals who successfully finish the course, including all tests and assignments. This certification attests to their expertise in Data Structures, Algorithms, and C programming, which they can highlight on their CV or present to prospective employers.
Through discussion boards, in-person Q&A sessions with professors, and group project collaboration, the C and DSA with C courses offer possibilities for involvement. To improve their learning process, participants can converse with classmates and instructors, ask questions, and seek clarification.
Certainly, even after the course ends, participants will still have access to the lecture videos, slides, code examples, and more resources. This enables ongoing education and future reference.
Visit the course website or platform if you haven’t already, establish an account, and then follow the enrollment steps to enrol in the course. You’ll get the enrollment steps on “How to Enroll“. You can begin studying at your own pace as soon as you enroll since you will have immediate access to all course materials.