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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-engineers-gcp-azure-and-aws/
课程评论：没有评论
Coursera 课程《Python for Data Engineers - GCP, Azure, and AWS》内容总结： 本课程专为 aspiring 数据工程师或希望提升 Python 技能者设计，从基础讲起，侧重于实际数据工程应用场景。 **第一章：核心 Python 数据类型** 涵盖字符串（Working with Strings）、各种 Python 运算符（算术、比较、逻辑等）、数字（整数和浮点数）、布尔逻辑以及 None 类型。 **第二章：内置数据结构** 深入讲解列表（创建、索引、操作）、元组（不可变序列）、字典（键值映射）和集合（唯一集合及操作）。 **第三章：编程构造** 重点介绍条件语句（if, elif, else）、循环（for 和 while 循环）、异常处理（try, except, finally）以及文件处理（读写文件）。 **第四章：模块化与面向对象编程** 教授如何创建和使用函数以实现代码的重用，并介绍面向对象编程（OOP）的基础，包括创建类和对象。 **课程独特之处：** * **云平台定向：** 专为在云平台（GCP, Azure, AWS）工作的数据工程师量身定制。 * **实际数据格式：** 包含 CSV、JSON 和日志文件等真实数据格式的实操示例。 * **云服务对接：** 提供与 BigQuery、S3、Azure Blob Storage 等云数据服务的实践编码练习。 * **职业发展基础：** 为 ETL、数据湖、数据仓库和工作流编排等未来工作奠定坚实基础。 * **循序渐进：** 内容覆盖从基础到进阶，易于理解和学习。
Are you aspiring to become a Data Engineer or looking to sharpen your Python skills ? This course is designed to teach you Python programming from the ground up, with a specific focus on real-world data engineering use casesChapter 1: Core Python Data TypesWorking with StringsPython Operators (Arithmetic, Comparison, Logical, etc.)Numbers: Integers and FloatsBoolean Logic in PythonUnderstanding None TypeChapter 2: Built-in Data StructuresLists: Creation, Indexing, and OperationsTuples: Immutable SequencesDictionaries: Key-Value MappingsSets: Unique Collections and OperationsChapter 3: Programming Constructs in PythonConditional Statements: if, elif, elseLooping: for and while LoopsException Handling: try, except, finallyFile Handling: Reading and Writing FilesChapter 4: Modular and OOP in PythonCreating and Using FunctionsWriting Reusable Code with FunctionsIntroduction to Object-Oriented ProgrammingCreating Classes and ObjectsWhat Makes This Course Unique?Tailored specifically for Data Engineers working in cloud platforms.Hands-on examples with real data formats like CSV, JSON, and log files.Practical coding exercises aligned with cloud data services like BigQuery, S3, Azure Blob Storage, and more.Builds a strong foundation for future work in ETL, Data Lakes, Data Warehouses, and workflow orchestration.covering from basics to advanced for ease
