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

