Full Stack Data Science with GenAI

Master Data Science & Generative AI from Scratch – Build Real-World Projects Step by Step

What you'll learn
- Understand the complete Data Science workflow – from data collection to deploying models.
- Write Python code for data analysis, visualization, and machine learning.
- Build and evaluate Machine Learning models using real-world datasets.
- Learn how to structure your resume and stand out to employers in the data science job market.

Requirements
- A computer with internet access (Windows, Mac, or Linux).
- Basic understanding of how to use a computer (opening files, installing software, etc.).
- Curiosity and a willingness to learn – that's the most important part!

Description
Welcome to “Full Stack Data Science with GenAI – Learn by Building Projects” – the only beginner-friendly course that takes you from zero to job-ready in Data Science and Generative AI through real-world, hands-on projects.

Whether you’re a complete beginner or someone looking to switch careers, this course is designed to make complex topics simple and practical. We focus on"learning by doing"– no endless theory, no fluff. Just real skills, built step-by-step.

What Makes This Course Unique?

Project-Based Learning– Build real data science and AI applications as you learn

Covers Both Traditional ML and Modern GenAI– Get ahead in today’s job market

Beginner Friendly– No prior experience in programming, math, or data science needed

Career-Focused– Includes resume tips and guidance to land your first data job

What You’ll Learn

Data science fundamentals and workflows

Python programming for data analysis and ML

Key math and statistics concepts for data science

Data cleaning, EDA, and feature engineering

Supervised and unsupervised machine learning

Real-world projects for your portfolio

Generative AI (GenAI) and Agentic AI concepts

Building GenAI applications like text and image generators

Resume building and interview tips to get job-ready

Course Modules

Intro to Data Science & GenAI

Python for Data Science

Math for Data Science

Data Collection & Cleaning

EDA & Feature Engineering

Supervised Learning (with Projects)

Unsupervised Learning (with Projects)

Real-World Projects

GenAI & Agentic AI

GenAI Projects

Resume Building

Tips to Get Interview Calls

Who Is This Course For?

Absolute beginners

Students or professionals wanting to learn data science

Tech enthusiasts exploring GenAI

Career switchers aiming for data/AI roles

Anyone who prefershands-on learning with real projects

Tools & Technologies Used

Python, Pandas, NumPy, Matplotlib, Scikit-learn

GenAI tools (like OpenAI APIs, Hugging Face, or similar)

Jupyter Notebooks, Google Colab

Basic deployment tools (optional)

By the end of this course, you’ll not only understand the full data science pipeline — you’ll havebuilt and deployed projectsthat prove it.

Let’s get started – enroll now and begin your data science journey!

Who this course is for:
- Beginners who want to start a career in Data Science or AI – no prior experience needed.
- Students looking to learn data science in a practical, project-based way.
- Professionals and career switchers aiming to move into data roles.
- Anyone who prefers learning by building real projects instead of watching theory-heavy lectures.
More Info