kingers Posted June 5 Report Share Posted June 5 Full Stack Data Science with GenAI Published 5/2025 Duration: 4h 43m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.9 GB Genre: eLearning | Language: EnglishMaster 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 Please check out others courses in your favourite language and bookmark them - - - -DDownloadhttps://ddownload.com/9apyav69wnw5/yxusj.Full.Stack.Data.Science.with.GenAI.part1.rarhttps://ddownload.com/jmmh3ttyjmqm/yxusj.Full.Stack.Data.Science.with.GenAI.part2.rarRapidGatorhttps://rapidgator.net/file/d5fbb43e5acf7d3f4cf0bb310d9fc61e/yxusj.Full.Stack.Data.Science.with.GenAI.part1.rarhttps://rapidgator.net/file/cdc46a16602b8dc5158eab25c2b224bf/yxusj.Full.Stack.Data.Science.with.GenAI.part2.rarNitroFlarehttps://nitroflare.com/view/F571438794834F2/yxusj.Full.Stack.Data.Science.with.GenAI.part1.rarhttps://nitroflare.com/view/3DCFD62CFB8E059/yxusj.Full.Stack.Data.Science.with.GenAI.part2.rar Link to comment Share on other sites More sharing options...
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