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所在平台: Udemy |
课程主页: https://www.udemy.com/course/welcome-to-data-science/
课程评论：没有评论
**课程名称：** 欢迎来到数据科学 **课程概述：** 本课程是一门面向初学者的入门级综合课程，旨在帮助您揭开数据科学的神秘面纱。无论您是数据科学领域的完全新手、寻求职业转型，还是希望加深对数据科学理解的专业人士，本课程都将为您奠定坚实的基础，涵盖数据科学的概念、工具、方法论以及职业机会。 您将深入探讨数据科学的真正含义，了解支撑该领域的四大基石，熟悉驱动数据驱动决策的工具和技术，并探索包括数据科学家、机器学习工程师、数据工程师以及人工智能工程师在内的各种职业发展道路。通过实际案例、真实世界的项目分析和动手实践练习，您将获得知识和信心，无论是开启数据科学职业生涯，还是有效地与数据科学团队协作。 **课程主要内容：** * 数据科学的基本概念和定义 * 数据科学的四大核心支柱 * 领域中使用的核心工具和技术 * 数据科学在各行业的实际应用和影响 * 数据科学职业角色和职责的全面概述 * 转向数据科学职业的实用指导 * 数据科学思维和问题解决方法的实践体验 * 教育性作业、测验和考试 * 影响与伦理：数据科学如何负责任地改变商业和社会
Embark on your data science journey with this comprehensive beginner-friendly course that demystifies the world of data science. Whether you're a complete beginner, career changer, or professional looking to understand data science better, this course provides a solid foundation in data science concepts, tools, methodologies, and career opportunities.You'll explore what data science really means, discover the four pillars that support the field, understand the tools and technologies that power data-driven decisions, and learn about various career paths including Data Scientist, ML Engineer, Data Engineer, and AI Engineer roles. Through practical examples, real-world case studies, and hands-on exercises, you'll gain the knowledge and confidence to either pursue a career in data science or effectively collaborate with data science teams. You Ready?What is Primarily Taught in Your Course:Fundamental concepts and definitions of data scienceThe four foundational pillars of data scienceEssential tools and technologies used in the fieldReal-world applications and impact of data science across industriesComprehensive overview of data science career roles and responsibilitiesPractical guidance for transitioning into data science careersHands-on exposure to data science thinking and problem-solving approachesEducational Assignments, quizzes and testsImpact & Ethics: How data science transforms businesses and society responsibly
