Full Stack Data Science with GenAI
Full Stack Data Science with GenAI
Last updated 7/2025
Duration: 7h 24m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 3.38 GB
Genre: eLearning | Language: English
Last updated 7/2025
Duration: 7h 24m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 3.38 GB
Genre: eLearning | Language: English
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