Web Development with Data Science (PHP, Python, Angular, Machine Learning)

Course ObjectivesProvide comprehensive training in full-stack web development using Angular, PHP, and Python.Develop expertise in relational and non-relational databases and secure API design.Build proficiency in data science workflows: data cleaning, analysis, and visualization.Teach core machine learning concepts and techniques for real-world web applications.Demonstrate ML model deployment and integration using REST APIs and microservices.Encourage hands-on learning through projects and a capstone application.Learning OutcomesBy the end of this course, learners will be able to:Build responsive, dynamic front-end applications using Angular.Develop secure and scalable back-end systems using PHP and Python.Design, query, and optimize databases for high-performance web applications.Perform data collection, preprocessing, and exploratory analysis with Python.Develop, train, and evaluate machine learning models using standard libraries.Deploy ML models as APIs and integrate them into production web systems.Apply DevOps principles to host and scale applications on cloud platforms.Deliver a full-stack AI-driven application as a professional portfolio project.