# Data Structures and Algorithms Certification Course using C [Hindi]

Understanding data structures and algorithms is crucial in the field of computer science. These fundamental ideas are the cornerstone of software development and are crucial to effectively tackling challenging computational issues. A voyage into the world of data structures and algorithms is a necessary step toward becoming a skilled problem solver and in-demand professional, whether you are a beginning programmer, a computer science enthusiast, or an experienced developer trying to improve your skills.

### What will you take home from this Data Structures & Algorithms Course?

- 35+ hrs self-paced expert-led course
- 70+ hrs of comprehensive study material
- 90+ hrs of real-world practicals
- 55+ Interactive quizzes & assessments
- 145+ Interview questions for top MNCs
- 65+ Real-time end to end implementation
- 45+ C DSA practical code examples

- 98% Positive reviews from learners
- 35+ Comprehensive assignments
- 15+ Real-time industry case-studies
- 90+ Python programming tutorials
- 1:1 Career counselling with expert
- Practical knowledge which industry needs
- Industry-renowned certification

### Your DSA using C Journey Starts Here – Enroll Now

### Master DSA C from Scratch

Join our hands-on DSA using C course crafted by industry veterans and build real-world skills. It’s not just a course, it’s a job-ready bootcamp.
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Duration 35+ Hrs |
Access Duration 2 Years |
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### Why should you enroll in this Data Structures & Algorithms Course?

- You’ll discover how to simplify complex issues into manageable parts and design efficient methods to solve them
- This course will show you how to optimize your code for faster execution
- A strong foundation is required to succeed in technical interviews at top IT organizations
- These abilities allow you to work with a variety of programming languages and industries, which makes you a flexible developer
- Having mastered these ideas, you’ll feel more confident taking on challenging programming assignments
- Enrolling in this course will provide you an advantage in a crowded job market
- Access to expert educators who can serve as mentors and helpful community members
- Update yourself on the newest developments and trends in data structures and algorithms
- Through difficult coding tasks and contests, you can improve your problem-solving abilities.

- Develop an analytical attitude that is strong since it is useful in careers other than programming
- Assemble a portfolio of works demonstrating your command of data structures and algorithms
- To assess your code’s effectiveness, learn time and space complexity analysis
- Connect with colleagues and industry experts in the tech sector to find chances for employment and collaboration
- As you solve difficult issues and observe your coding abilities advance, get a sense of success
- Learn everything there is to know about fundamental data structures like arrays, linked lists, trees, graphs, and more
- Learn how to use common algorithms for searching, sorting, and dynamic programming
- Investigate the practical uses of data structures and algorithms in fields like game development, machine learning, and cryptography
- Gain practical experience through coding projects and exercises

### Data Structures & Algorithms Course Objectives

A fundamental component of computer science education is a course on data structures and algorithms. It gives students a thorough understanding of effective data management and manipulation techniques as well as approaches for handling challenging computational issues. Students will be able to create and analyze data structures like arrays, linked lists, trees, and graphs as well as construct algorithms for tasks like sorting, searching, and optimization as a result of this course’s exploration of the fundamental building blocks of software development.

Cultivating problem-solving abilities is one of the course’s main goals. Algorithmic thinking teaches students how to create elegant solutions to complex issues by dissecting them into smaller, more manageable parts. They also acquire a strong understanding of time and space complexity analysis, which enables them to assess the effectiveness of their code and select the best data structures and algorithms for various situations.

The online Data Structures and Algorithms course is very useful beyond academic understanding. Because mastery of these ideas is a must in the IT business, it prepares students for coding interviews at top tech organizations. By the end of the online DSA course, students are proficient in both theoretical and practical applications of these principles thanks to coding assignments and projects. Overall, this DSA with C course gives students the knowledge and assurance they need to solve real-world issues and succeed as software engineers and computer scientists.

This course on data structures and algorithms has several different goals, all of which are geared toward giving students the knowledge and abilities they’ll need for computer science and software development. Giving pupils a strong foundation in data structures and algorithms is our main goal.

Giving students a thorough understanding of various data structures, like arrays, linked lists, trees, graphs, and stacks, as well as important sorting, searching, and optimization methods, is part of this. Students will learn the fundamentals of data organizing and algorithmic problem-solving through this. A further important goal is to improve problem-solving abilities.

Students learn to break down difficult problems into small parts and come up with methodical answers by working through challenging problems and applying effective algorithms. They get the ability to evaluate the time and space complexity of algorithms, allowing them to select the best approach. Additionally, the course online DSA with Certification course prepares students for technical interviews, where algorithmic competence is frequently a deciding factor for job chances in the computer industry.

### Why should you learn Data Structures & Algorithms?

Learning Data Structures and Algorithms can prove to be immensely fruitful in the IT sector. Here are some established reasons and facts of why one should learn this course of DataFlair-

- Data structures and algorithms, which define the art of beautiful problem resolution, are the poetry of coding.
**— Unknown** - “Proficiency in algorithms and data structures” is one of the top three abilities that companies seek in software developers, according to a
**Stack Overflow**study. - The computational recipes known as algorithms are what transform data into information. –
**Carl Sagan** - Software development positions are expected to rise by 22% over the next ten years, according to a Bureau of Labor Statistics research, highlighting the rising demand for qualified programmers.
- “The beauty of a well-crafted algorithm lies not just in its functionality, but also in its elegance and efficiency.” –
**Trump Knuth**

### What is Data Structures & Algorithms?

A data structure is a method for arranging and keeping track of data in the memory or storage system of a computer. It establishes the format for data storage, access, and manipulation. Because they affect the effectiveness and efficiency of algorithms and programs, data structures are crucial elements of software development and computer science.

An algorithm is a detailed process or collection of guidelines for resolving a particular issue or carrying out a certain operation. The fundamental building blocks of software development are algorithms, which specify the reasoning and order of steps that a program must take in order to deliver the intended results.

The choice of data structure frequently affects the design and effectiveness of the algorithm used to solve a problem, hence data structures and algorithms are closely related to one another. Combining adequate data structure selection with the implementation of effective algorithms is necessary for effective programming.

For instance, one might choose an array as the data structure to search for an item in a list because it is straightforward and then employ a search algorithm like binary search because it is effective. Students who take courses in data structures and algorithms learn how to work with different types of data structures as well as how to build, evaluate, and use algorithms to alter and extract information from those structures.

### What to do before you begin?

Strong problem-solving skills and a commitment to learning are essential qualities. Although this Data Structures and Algorithms course may be difficult, the benefits in terms of job potential and personal development make the effort worthwhile.

So prepare yourself for a transforming voyage into the realm of data structures and algorithms by rolling up your sleeves, honing your coding abilities, and going for it. The non-mandatory prerequisites of this course are-

- It is strongly advised to be proficient in at least one programming language (such as Python, Java, or C++).
- It will be advantageous to be familiar with fundamental ideas like functions, conditionals, and loops.
- You should review your mathematical abilities as well to get ready for this course.
- It will be helpful to understand ideas like probability theory, discrete mathematics, and linear algebra because these concepts are frequently used while examining algorithms and data structures.

### Who should go for this Data Structures & Algorithms course?

Fundamentally speaking, Data Structures and Algorithms are core abilities in computer science and software development, and training in these fundamental ideas is beneficial for anybody aiming to succeed in these disciplines or related ones. Aside from expanding job options, the knowledge acquired via such training also improves problem-solving abilities that are useful across a variety of fields. In the fields of computer science and software development, knowledge in data structures and algorithms is advantageous for a variety of people.

** Let’s find out-**

- Computer Science Students
- Software Engineers and Developers
- IT Graduates
- Mobile App Developers
- Aspiring Coders
- Game Developers
- Quantitative Analysts
- Cybersecurity enthusiasts

### By enrolling in our Data Structures & Algorithms course, you can expect the following benefits:

Participants in a Data Structures and Algorithms training course will gain a basic understanding of how computer science and software development work. They will get a thorough understanding of a variety of data structures, including queues, trees, stacks, linked lists, and arrays, as well as algorithms for accomplishing crucial tasks like sorting, searching, and graph traversal.

Additionally, participants will learn how to select the best data structure for a given task and evaluate an algorithm’s effectiveness in terms of time and space complexity. Writing effective and optimized code, which is crucial in software development, requires this understanding. In addition, through hands-on activities and coding challenges, participants will acquire problem-solving abilities. In order to come up with effective solutions, they will learn how to deconstruct complicated issues into smaller, more manageable parts and use data structures and algorithms.

The fields of software engineering, data analysis, and artificial intelligence are just a few of the computer science disciplines that can benefit from these problem-solving abilities. Participants will leave the workshop with the skills necessary to build elegant and effective code and to take on a variety of computational tasks.

If you’re interested in a career in computer science or software development, taking a Data Structures and Algorithms course is a great choice. It gives students the necessary knowledge and abilities to develop, implement, and improve algorithms and data structures, allowing them to create scalable and effective programs.

The ability to solve problems more effectively is improved, and students are also better prepared for technical interviews at leading technology firms where algorithmic expertise is highly appreciated. In addition, it serves as the basis for the development of a variety of software applications, including those for data science and machine learning as well as online and mobile development.

**Here are some of the key benefits of Data Structure and Algorithm training-**

- Better ability to solve problems.
- Improved technical interview preparation.
- The ability to code effectively and scalable.
- A solid basis in software development.
- Improved adaptability across many tech fields.
- Ability to design apps for both the web and mobile devices.
- Effective data science and machine learning abilities.
- Giving you the tools you need to succeed in the cutthroat tech sector.

### Jobs after Learning this Data Structures & Algorithms Course

There are numerous work prospects in the fields of computer science and software development available after learning data structures and algorithms. Following completion of a course in data structures and algorithms, the following typical job functions and career pathways become available-

**Software Engineer/Developer**

One of the most popular career paths is that of a software engineer or developer. A thorough understanding of data structures and algorithms is necessary for developing dependable and efficient code, which is what software engineers and developers do when they design, develop, and manage software programs.

**Web developer**

To build websites and web applications, web developers use data structures and algorithms. For handling massive datasets and website performance optimization, knowledge in this field is essential.

**Mobile App Developer**

To design applications for smartphones and tablets, mobile app developers use data structures and algorithms. It’s crucial to be knowledgeable about these ideas if you want to create responsive, resource-wise apps.

**Data scientists**

Data scientists examine and manipulate huge databases, glean insightful information, and create machine learning models using data structures and algorithms. The core of many data science methods is an algorithm.

**Machine learning Engineer**

Machine learning engineers work closely with algorithms for model training, optimization, and deployment in addition to data science. Handling data pipelines may also involve the use of data structures.

**Game Developer**

For tasks like collision detection, pathfinding, and game logic, game developers use data structures and algorithms. In the game sector, excellent problem-solving abilities are crucial.

**Database Administrator**

To effectively manage and improve databases, database administrators need to have a solid understanding of data structures.

**Quality Assurance Engineer**

QA engineers create test cases, evaluate software performance, and spot flaws using data structures and algorithms.

**System architect**

System architects create the general framework of software systems. They make decisions on the effectiveness and scalability of the system by having a solid understanding of data structures and algorithms.

**Cybersecurity Analyst**

To safeguard systems and data, cybersecurity experts utilize algorithms for encryption, intrusion detection, and threat analysis.

**Quantitative Analyst (Quant)**

Quants are financial professionals who utilize algorithms to analyze financial markets, evaluate risks, and devise trading plans.

### Our students are working in leading organizations

## Online Data Structures & Algorithms Training Course Curriculum

- What are Data Structures and Algorithms?
- Why should we learn DSA?

- What is Stack?
- Array implementation of stack
- Convert infix to postfix

- What is Queue?
- Array implementation of Queue
- Limitation of Queue
- Circular Queue
- Priority Queue
- Deque

- What is Linked List?
- Linked List Operations
- Linked List methods – create, display, insertion, deletion
- Linked List Count Operation
- Linked List Search Operation
- Sorting in Linked List
- Reverse Traversing in Linked List
- Stack using Linked List
- Queue using Linked List

- What is Circular Linked List?
- Circular Linked List methods
- Practical implementation of Circular Linked List methods

- What is Circular Queue using Linked List?
- Circular Queue using Linked List methods
- Practical implementation of Circular Queue using Linked List methods

- What is Doubly Linked List?
- Doubly Linked List methods – create, display, insert, delete
- Practical implementation of Doubly Linked List methods

- What is Doubly Circular Linked List?
- Doubly Circular Linked List methods – create, display, insert, delete
- Practical implementation of Doubly Circular Linked List methods

- What is Tree?
- What is Binary Search Tree?
- Binary Search Tree inorder, preorder, postorder traversing
- Searching in Binary Search Tree
- Sorting in in Binary Search Tree
- Non Recursive traversing in BST
- Non Recursive inorder, preorder, postorder traversing

- What is Strictly Binary Tree?
- What is B Tree?
- What is B+ Tree?
- Red Black Tree in DSA
- Heap Tree in DSA
- Treaded Binary Tree in DSA

- What is AVL Tree?
- Height balanced tree
- AVL Tree rotation

- What is Recursion?
- What is Tail Recursion?
- Linear and Non-Linear Recursion in DSA

- What is Searching?
- Linear Search
- Binary Search

- Insertion Sort
- Quick Sort
- Radix Sort
- Merge Sort

- Address Calculation of Array in 1D and 2D
- Address Calculation of Array in 3D
- Address Calculation of Array with Lower and Upper Bound

- Time Complexity Analysis
- Big O Notation
- Tower of Hanoi

- What is Graph in DSA?
- Graph Representation – Matrix & List
- Krushkal’s Algorithm
- Prim’s Algorihtm
- Dijkstra’s Algorithm

- Dijkstra’s Algorithm for directed graph
- Floyd Warshall Algorithm
- Breadth First Search Algorithm
- Depth First Search Algorithm
- What is Hashing?

### Features of Data Structures & Algorithms Course

### Data Structures & Algorithms Online Training FAQs

Yes, the ideas covered in this online Data Structures and Algorithms course have real-world applications in a variety of industries, including game development, machine learning, database management, and cryptography.

Instructor will show practicals on his machine and you need to repeat the same on your machine. It is suggested for you download and install C to write and run the code on your device.

Students should actively participate in coding assignments, projects, and practice problems if they want to succeed in the course. In order to strengthen their knowledge, they should also frequently revisit the course material and ask for assistance from classmates and instructors as needed.

A fundamental computer science course called Data Structures and Algorithms teaches students how to create, evaluate, and use effective data structures and algorithms to solve computational problems.

The importance of this online DSA course lies in the fact that it provides students with the core problem-solving abilities required for software development and technical interviews in tech firms.

A fundamental understanding of programming, particularly in Python, Java, or C++, and some mathematical background in ideas like discrete mathematics are typical prerequisites.

Different data structures and algorithms, including sorting, searching, and dynamic programming, will be covered in class, along with how to evaluate their time and space complexity.

Typically, the online Data Structures and Algorithms course is broken up into lectures, coding homework, and projects. It covers both theoretical notions and actual data structures and algorithms in use.

Students can choose the best algorithms for various circumstances by evaluating the efficiency of algorithms with the aid of time and space complexity analysis.

Students that take Data Structures and Algorithms courses are well-prepared for technical interviews because these courses frequently involve coding interview practice, and practice with typical coding interview questions.