The Advanced Coding & Software Engineering Program is an intensive, 1-year, hands-on training program designed to transform beginners and intermediate learners into proficient full-stack developers and data scientists. This comprehensive course covers foundational and advanced programming languages (C, C++, Java, JavaScript, Python), modern web development (HTML, CSS, Bootstrap 5, React, Node.js, Express, MongoDB), database management (MySQL, MongoDB), and a complete data science curriculum. By combining theoretical knowledge, practical coding, and real-world projects, this program equips students with the skills needed to excel in software engineering, web development, and data science roles. The curriculum emphasizes problem-solving, algorithmic thinking, and industry-standard tools and frameworks. Through hands-on projects, capstone assignments, and collaborative coding, students will build a robust portfolio showcasing their expertise in both software development and data science. Course Duration : 1 Year (12 Months) Format: online ( 1 day session and 2nd day doubt clear session ) Weekly assignment and test : assignment you will have to submit and attempt test exam ( projects, and self-study) Target Audience : => Beginners with little to no coding experience who want to become professional developers. => Intermediate programmers seeking to master full-stack development and data science. Professionals transitioning into software engineering or data science careers. => Students or enthusiasts passionate about building web applications and analyzing data. Learning Objectives By the end of the program, students will be able to: => Write efficient, optimized code in C, C++, Java, JavaScript, and Python. => Design and develop responsive, user-friendly web applications using HTML, CSS, Bootstrap 5, and React. => Build scalable backend systems using Node.js, Express, and MongoDB (MERN stack). => Manage and query relational (MySQL) and NoSQL (MongoDB) databases. => Apply data science techniques, including data analysis, visualization, and machine learning, using Python and its libraries. => Solve complex algorithmic problems and implement data structures effectively. => Collaborate on team-based projects using version control systems like Git. => Build a professional portfolio of projects to showcase to employers. => Prepare for technical interviews and real-world software engineering challenges. Tools and Technologies Covered Languages: C, C++, Java, JavaScript, Python. Web Technologies: HTML, CSS, Bootstrap 5, React, Node.js, Express. Databases: MySQL, MongoDB. Data Science Libraries: Pandas, NumPy. Development Tools: Visual Studio Code, IntelliJ IDEA, PyCharm, Postman, Git, GitHub. Cloud Platforms: Vercel, MongoDB Atlas. Certification Upon successful completion, students will receive a Certificate in Advanced Coding & Software Engineering, validating their proficiency in full-stack development and data science. Prerequisites => Basic understanding of computers and problem-solving skills. => No prior programming experience required (beginner-friendly). => A laptop/desktop with a stable internet connection for coding and project work. => Passion for learning and dedication to completing assignments and projects. Career Opportunities Graduates will be prepared for roles such as: => Full-Stack Developer (MERN Stack) => Front-End Developer => Back-End Developer => Data Scientist => Software Engineer => Web Developer => Database Administrator Course Curriculum The curriculum is divided into 12 modules, each spanning approximately 1 month, with a mix of theoretical lessons, coding labs, and projects. Below is the detailed breakdown:
100% Practical Sessions — hands-on coding during every session
Real-world projects after each module
Regular coding assignments & assessments
Placement Assistance — Mock Interviews, Resume Building, and Career Guidance
Certificate of Completion with verification ID
Advanced Coding & Software Engineering Program