Data Science/ML Boot Camp

COURSE DESCRIPTION

• Data Structures and Algorithm
• SQL
• Python /Libraries
• Product Analytics
• Probability & Applied Statistics
• Design Patterns/SOLID
• PowerBI
• Neural Networks & Machine Learning & DEEP LEARNING
• Machine Learning Ops
• GitHub
• Projects
• Interview Preparation

LEARNING OUTCOMES

• Develop strong problem-solving skills using data structures and algorithms to tackle real-world challenges efficiently.
• Build a solid foundation in Java, including object-oriented programming, multithreading, and advanced Java features.
• Design and optimize relational (MySQL) and NoSQL (MongoDB) databases for scalable and efficient data handling.
• Build modern web applications and RESTful APIs using Spring Core, Spring MVC, and Spring Boot with database integration.
• Implement object-relational mapping for seamless Java-database interaction, including caching and optimization.
• Design and deploy scalable, secure microservices and APIs using REST, SOAP, and tools like Docker and Kubernetes.
• Apply design patterns and SOLID principles to create maintainable, scalable, and reusable code.
• Gain expertise in AWS services for deploying, securing, and managing cloud-based applications.
• Manage code efficiently with Git and GitHub, and collaborate using branching, pull requests, and CI/CD pipelines.
• Secure web applications and APIs using authentication, authorization, and advanced security techniques.
• Build end-to-end applications to showcase expertise, applying all learned concepts in a practical environment.
• Prepare for technical interviews with coding challenges, system design discussions, and behavioral interview strategies.