Data Science

Data Science Python ML AI DS

Learn data analysis, visualization, machine learning, and real-world problem-solving using Python, Pandas, NumPy, Matplotlib, and AI tools — fully offline, hands-on, and project-driven.

Python

Introduction to Python, Data Types & Scripting, Lists, Tuples, Dictionaries, Conditional Logic, Loops, Arrays & String Operations, Functions & Modules

Adv Python

Data Persistence, GUI Development & Event Handling , Multithreading, Flask, Web Scraping, Final Capstone Project

OOPS

Classes and Objects, Constructors, Inheritance, Exception Handling, and File Management.

Data analytics

Data Analysis, Data Cleaning, Visualization with Matplotlib & Seaborn, Real-World Case Studies, Insight Generation, Dashboard Creation using Pandas and Python tools.

Databases

MySQL and MongoDB Integration, Queries & Joins, Data Modeling, CRUD Operations, Firebase Realtime Database, Cloud Firestore, and Local Data Storage using SQLite.

Server-Side Development

Backend with Python Flask & Node.js, REST API Creation, Routing, Middleware, JSON Handling, Deployment Basics, and Secure Server Communication.

Data Structures & Algorithms

Master Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Searching, Sorting, Recursion, and Problem Solving for Interviews and Competitive Programming.

Web Frontend Development

Responsive Web Design with HTML5, CSS3, JavaScript & Bootstrap · DOM Manipulation · UI/UX Principles · App Design Tools · Wireframing & Prototyping · Interactive Interfaces with Clean Visuals

Data Cleaning & Transformation · Exploratory Data Analysis · Pandas & NumPy · Data Visualization with Matplotlib & Seaborn · Supervised & Unsupervised Learning · Real-World Projects & Case Studies

Model Optimization & Fine-Tuning

Model Tuning, Hyperparameter Tuning, Advanced Model Training, Performance Optimization , Custom Model, Transfer Learning & Fine-Tuning