{"product_id":"data-science-applied-ai-norman-yates-9798198199460","title":"Data Science \u0026 Applied AI: The Complete 14-Week Self-Paced Program: From Python Foundations to Building LLM-Powered Applications","description":"\u003cp\u003eAre you serious about breaking into data science or AI - but tired of scattered tutorials, half-finished courses, and \"learn Python in 24 hours\" promises?\u003c\/p\u003e\u003cp\u003eThis book gives you something different: a complete, structured, 14-week university-level curriculum - from Python fundamentals to building and deploying LLM-powered AI applications - without a $60,000 master's program.\u003c\/p\u003e\u003cp\u003eModeled on graduate-level coursework. Designed for self-directed learners.\u003c\/p\u003e\u003cp\u003eEvery week is structured like a university class: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eClear learning objectives (what you will actually be able to do)\u003c\/li\u003e\n\u003cli\u003eCurated readings from leading textbooks and free online resources\u003c\/li\u003e\n\u003cli\u003eA real, graded-style assignment that produces a portfolio artifact\u003c\/li\u003e\n\u003cli\u003eThe tools and libraries professionals use on the job\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eNo filler. No hand-holding. Just the program.\u003c\/p\u003e\u003cp\u003eWHAT YOU WILL COVER: \u003c\/p\u003e\u003cp\u003ePhase 1 - Foundations (Weeks 1-3): Python, NumPy, mathematics for ML (linear algebra, calculus, probability), and exploratory data analysis with Pandas.\u003c\/p\u003e\u003cp\u003ePhase 2 - Data Engineering and Visualization (Weeks 4-5): SQL through window functions, ETL pipeline design, data cleaning, and interactive dashboards with Plotly and Streamlit.\u003c\/p\u003e\u003cp\u003ePhase 3 - Machine Learning (Weeks 6-9): Supervised learning, feature engineering, model interpretation with SHAP, clustering, and dimensionality reduction.\u003c\/p\u003e\u003cp\u003ePhase 4 - Deep Learning (Weeks 10-11): Neural networks from scratch, backpropagation, PyTorch, CNNs, RNNs, and transfer learning.\u003c\/p\u003e\u003cp\u003ePhase 5 - Applied AI (Weeks 12-13): How LLMs work, prompt engineering, retrieval-augmented generation (RAG), agentic AI, and production AI applications.\u003c\/p\u003e\u003cp\u003ePhase 6 - Capstone (Week 14): A GitHub repository, technical research report, live deployed demo, and recorded presentation.\u003c\/p\u003e\u003cp\u003eWHO THIS IS FOR: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCareer changers wanting a structured path into data science or AI\u003c\/li\u003e\n\u003cli\u003eSoftware engineers moving into ML and AI roles\u003c\/li\u003e\n\u003cli\u003eAnalysts who want to go deeper into modeling and AI\u003c\/li\u003e\n\u003cli\u003eRecent graduates wanting a rigorous supplement to their degree\u003c\/li\u003e\n\u003cli\u003eSelf-taught programmers tired of jumping between resources\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePrerequisites: Basic programming experience, high school algebra, willingness to do the work. No prior data science knowledge required.\u003c\/p\u003e\u003cp\u003eBY THE END OF WEEK 14, YOU WILL: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild and deploy production-ready ML models end-to-end\u003c\/li\u003e\n\u003cli\u003eDesign and fine-tune deep learning architectures\u003c\/li\u003e\n\u003cli\u003eBuild LLM-powered applications with RAG, agents, and tool use\u003c\/li\u003e\n\u003cli\u003eCommunicate findings through professional data visualizations\u003c\/li\u003e\n\u003cli\u003ePresent a complete capstone portfolio project to a technical audience\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eStop collecting courses. Start finishing one.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Norman Yates\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798198199460\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/18\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 104\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.33lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.22d","brand":"Norman Yates","offers":[{"title":"Paperback","offer_id":50546478186751,"sku":"9798198199460","price":34.95,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/data-science-applied-ai-norman-yates-9798198199460","provider":"WR Book House","version":"1.0","type":"link"}