Data Science
Course Registration
Data Science Curriculum
- Introduction to Python
- Data Structures and Libraries (NumPy, Pandas)
- Data Wrangling and Preprocessing
- Data Visualization (Matplotlib, Seaborn)
- Working with APIs and Web Scraping
- Descriptive Statistics
- Inferential Statistics
- Probability Theory
- Hypothesis Testing
- Exploratory Data Analysis
- Supervised & Unsupervised Learning
- Regression & Classification Techniques
- Clustering & Dimensionality Reduction
- Model Evaluation & Tuning
- Feature Engineering & Selection
- Neural Networks Basics
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Natural Language Processing (NLP)
- Transfer Learning & Advanced Models
- End-to-End Data Science Project
- Model Deployment using Flask/Django
- Cloud Deployment (AWS, GCP, Azure)
- Data Engineering Concepts
- Real-time Analytics & Big Data Tools
Capstone Projects
Groceries Application
Build a lightning-fast delivery app with logistics and inventory features.
Food Application
Design a food delivery app with real-time order tracking and restaurant listings.
Banking Application
Create a secure and user-friendly digital payments platform.
Delivery Application
Develop an auction-based e-commerce system with reviews and bidding.
Airlines Application
Build a travel booking system for flights, hotels, and holiday packages.
LMS Application
Create an e-learning platform with course, video, and user dashboard modules.
Job-ready Profiles
Github
For freshers, GitHub plays a significant role in showcasing skills
Portfolio
For freshers, a portfolio demonstrates practical experience and personal projects effectivelyCertificate
