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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineering-crash-course-for-2025/
课程评论：没有评论
**课程名称：2025 数据工程速成课** **课程概述：** 本课程专为希望进入技术领域热门行业的数据工程师、数据分析师以及对此领域感兴趣的学习者设计。作为一门对初学者友好的速成课程，它将带您快速了解 2025 年现代数据处理流程的核心概念、工具和技能。课程注重基础知识和实践操作，帮助您理解数据工程在实际工作中的应用。 **您将学到：** * **核心数据工程概念：** 理解数据管道、ETL 与 ELT 的区别、数据建模基础以及数据工程师的角色。 * **实用的 Python 与 SQL：** 学习数据工程师日常必备的编程和查询技能。 * **工具概述：** 了解 Apache Airflow、dbt 和 Snowflake 等热门工具及其使用场景。 * **云基础知识：** 学习云平台（AWS、GCP、Azure）如何支持数据工作流，重点关注存储、计算和编排。 **课程目标：** 学完本课程后，您将对数据工程领域有清晰的认识，掌握成功的必备技能，并有信心迈出下一步，无论是深入研究特定工具、构建您的第一个项目，还是为训练营或面试做准备。 **先修要求：** 无需任何先验知识，只需保持好奇心和学习意愿。课程结束后，您将具备获得第一次面试机会所需的一切！
Ready to break into one of tech's most in-demand fields? This beginner-friendly crash course is your fast-track introduction to the core concepts, tools, and skills that power modern data pipelines in 2025.Designed for aspiring data engineers, analysts, and curious learners, this course focuses on foundational knowledge and hands-on practice to help you understand how data engineering works in the real world.What You'll Learn:Core Data Engineering Concepts: Understand data pipelines, ETL vs ELT, data modeling basics, and the role of a data engineer.Practical Python & SQL: Learn the essential programming and query skills used every day by data engineers.Tooling Overview: Get introduced to popular tools like Apache Airflow, dbt, and Snowflake - and when to use them.Cloud Fundamentals: Learn how cloud platforms (AWS, GCP, Azure) support data workflows, with a focus on storage, compute, and orchestration.By the end, you'll have a clear understanding of the data engineering landscape, the skills needed to succeed, and the confidence to take the next step - whether it's a deeper dive into tooling, building your first project, or preparing for a bootcamp or job interview.No prior experience required - just curiosity and a willingness to learn, you'll come out with everything you need to get that first interview!
