C is a function-driven language because C is a procedural programming language. C++ is an object-driven language because it is an object-oriented programming. Function and operator overloading are not supported in C. Function and operator overloading are supported by C++.
Java is a multi-platform, object-oriented, and network-centric language that can be used as a platform in itself. It is a fast, secure, reliable programming language for coding everything from mobile apps and enterprise software to big data applications and server-side technologies.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
C# (pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.
Data analysis is the systematic process of inspecting, cleansing, transforming, and modeling data to uncover valuable insights, enabling informed conclusions and facilitating data-driven decision-making.
Data Structures and Algorithms (DSA) constitute a vital duo within computer science education. DSA, a fusion of Data Structures and Algorithms, stands as a cornerstone skill for every computer science student.
Java is a versatile programming language with a wide range of frameworks for different purposes. Mastering Java frameworks can make you a highly sought-after developer.Frameworks are Spring , Springboot , Hibernate.
PHP is a popular scripting language for web development, making it essential for building dynamic websites and web applications. Key Concepts of php are PHP Syntax Web Development with PHP Popular PHP Frameworks.
Frontend development is responsible for creating the user interface and user experience of web applications. Key Concepts HTML/CSS/JavaScript, Frontend Frameworks, UI/UX Design Principles , Angular and React .
Fullstack developers have expertise in both frontend and backend development, enabling them to build entire web applications. Key Concepts Integration , API Development , Database Management , Deployment .
Mobile app development is a dynamic field that's essential for creating applications for smartphones and tablets, reaching a vast user base. Key Concepts Native App Development , Cross-Platform Development , UI/UX Design for Mobile , Mobile APIs and App Deployment .
Duration Options: We offer internships for 3, 6, and 12 months, allowing you to choose the duration that best suits your learning goals and availability. Real-World Projects , Mentorship , Networking and Resume Enhancement .The Internship provides valuable hands-on experience .
DevOps is a set of practices that streamline software development and deployment, enabling faster and more reliable releases. Key Concepts Version Control , Continuous Integration (CI) , Continuous Deployment (CD) , Containerization , Infrastructure as Code (IaC) and Monitoring and Logging.
Salesforce is a leading customer relationship management (CRM) platform used by businesses worldwide. Salesforce developers customize and extend its capabilities. Key Concepts Salesforce Basics, Apex Programming , Visualforce , Lightning Components and Integration .
SQL is the standard language for managing and querying relational databases. Proficiency in SQL is essential for data-driven applications and plays a significant role in various domains, including web development, data analysis, and business intelligence. Key Concepts are Database Management , Sql syntax , Database design ,Sql joins and many more .
Working on real-world projects is essential for applying your skills in a practical setting and building a strong portfolio. Key Concepts Project Management, Collaboration, Problem Solving. Each of these skills and technologies is crucial in its own right, just as data structures and algorithms are for computer science.
