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SKU/Artículo: AMZ-B0FCD8BW8S

ZERO TO DATA SCIENTIST: THE FAST-TRACK GUIDE TO MASTERING DATA, CODE, AND CAREER: Launch Your Career in Data Science with No Experience-From Python ... Machine Learning Projects That Get You Hired

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.55 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Zero to Data Scientist: The Fast-Track Guide to Mastering Data, Code, and Career is a no-fluff, action-oriented roadmap for anyone looking to break into data science—quickly, confidently, and without getting lost in technical overload. It’s designed for career changers, self-taught learners, and aspiring data professionals who want real-world skills that lead to real-world roles.The book is divided into five main parts:Part I: The Mindset of a Data Scientist focuses on mental models, imposter syndrome, and the importance of asking the right questions. It emphasizes that data science isn’t just about math or code—it’s about solving problems and telling stories with data. It also outlines a clear 5-stage roadmap from beginner to job-ready, helping readers understand what to learn and when.Part II: Learn the Tools – Without the Fluff teaches the essentials: Python, SQL, statistics, and core libraries like pandas, NumPy, matplotlib, and scikit-learn. Each chapter is designed to be concise and project-oriented. Readers build mini-projects and gain working knowledge in topics like data cleaning, visualization, and matrix math—all framed around practical applications, not theory dumps.Part III: Do the Work – Hands-On Projects shifts from learning to building. Readers tackle real EDA tasks, build and evaluate machine learning models, deploy Streamlit apps, and create a full end-to-end portfolio project with GitHub integration. The focus is on storytelling, model performance, and usefulness—not just accuracy for its own sake.Part IV: Build Like a Pro – Advanced Skills Without the Pain covers next-level capabilities like deep learning, NLP, transfer learning, dashboards, APIs, and MLOps. It also emphasizes collaboration, stakeholder communication, and real-world trade-offs. Readers learn how to present results like consultants and deploy their work for live user interaction.Part V: Career Launchpad is a tactical career guide. It details how to build a portfolio that gets interviews, choose projects that demonstrate business impact, and navigate job applications, résumés, LinkedIn profiles, and technical/behavioral interviews. It also addresses freelancing, internships, bootcamps, and alternative entry paths.Part VI: Beyond the First Job helps readers level up with specializations (data engineering, analytics, MLOps, etc.), become high-leverage teammates, and stay sharp in a fast-changing field. It reframes career growth as a process of multiplying impact—through tools, mentorship, and business alignment.The appendices offer rich, curated resources: learning roadmaps, dataset directories, portfolio templates, coding cheatsheets, and even a glossary of real-world terms no textbook teaches.In short: Zero to Data Scientist doesn’t just teach data science—it equips you to think, work, and grow like a data scientist from day one. Whether you’re starting from scratch or pivoting mid-career, it gives you the structure, confidence, and momentum to turn learning into action and action into opportunity.

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U$S 44,75

49% OFF

U$S 22,95

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