Full Stack Java & Data Science - Karishma Kochar

1. Java Full Stack Development

• Core Java, OOPs concepts

• Java Collections & Multithreading

• JDBC, Servlets & JSP

• Spring, Spring Boot & Microservices

• REST APIs development

• Hibernate/JPA

• HTML, CSS, JavaScript, Bootstrap

• Angular / React basics

• MySQL / PostgreSQL

• Project: End-to-end Java full-stack application

2. Python Full Stack Development

• Python fundamentals & advanced concepts

• OOPs in Python

• Flask / Django framework

• REST API creation

• Frontend: HTML, CSS, JS, Bootstrap

• ORM & MySQL/PostgreSQL

• Authentication & deployment

• Project: Full-stack Python web application

3. Data Science

• Python for Data Science

• NumPy, Pandas, Matplotlib, Seaborn

• Data cleaning & preprocessing

• Statistics & probability

• Machine Learning (Regression, Classification, Clustering)

• Model evaluation & tuning

• Deep Learning basics (optional)

• Real-time DS project with datasets

4. Data Analysis

• Excel advanced techniques

• Python for data analysis

• Data wrangling & transformation

• Exploratory Data Analysis (EDA)

• Data visualization (Matplotlib, Seaborn)

• Reporting & dashboard creation

• SQL for analysis

• Capstone data analytics project