Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Full Stack Data Science with GenAI
Rating: 4.7 out of 5(12 ratings)
148 students
Created byTushar kanta Mahuri
Last updated 11/2025
English

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.

Course content

12 sections • 53 lectures • 15h 13m total length

  • Introduction to Full Stack Data Science with Gen AI7:10
  • Full Stack Project demo7:28
  • Join to the data comunity5:54
  • What is Data Science6:22
  • Job Role and Growth7:54

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

  1. Intro to Data Science & GenAI

  2. Python for Data Science

  3. Math for Data Science

  4. Data Collection & Cleaning

  5. EDA & Feature Engineering

  6. Supervised Learning (with Projects)

  7. Unsupervised Learning (with Projects)

  8. Real-World Projects

  9. GenAI & Agentic AI

  10. GenAI Projects

  11. Resume Building

  12. 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 prefers hands-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 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.

Report abuse