Udemy - 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 learnCovers Both Traditional ML and Modern GenAI - Get ahead in today's job marketBeginner Friendly - No prior experience in programming, math, or data science neededCareer-Focused - Includes resume tips and guidance to land your first data jobWhat You'll LearnData science fundamentals and workflowsPython programming for data analysis and MLKey math and statistics concepts for data scienceData cleaning, EDA, and feature engineeringSupervised and unsupervised machine learningReal-world projects for your portfolioGenerative AI (GenAI) and Agentic AI conceptsBuilding GenAI applications like text and image generatorsResume building and interview tips to get job-readyCourse ModulesIntro to Data Science & GenAIPython for Data ScienceMath for Data ScienceData Collection & CleaningEDA & Feature EngineeringSupervised Learning (with Projects)Unsupervised Learning (with Projects)Real-World ProjectsGenAI & Agentic AIGenAI ProjectsResume BuildingTips to Get Interview CallsWho Is This Course For?Absolute beginnersStudents or professionals wanting to learn data scienceTech enthusiasts exploring GenAICareer switchers aiming for data/AI rolesAnyone who prefers hands-on learning with real projectsTools & Technologies UsedPython, Pandas, NumPy, Matplotlib, Scikit-learnGenAI tools (like OpenAI APIs, Hugging Face, or similar)Jupyter Notebooks, Google ColabBasic deployment tools (optional)By the end of this course, you'll not only understand the full data science pipeline - you'll have built and deployed projects that 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.
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