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所在平台: Udemy |
课程主页: https://www.udemy.com/course/become-a-data-engineer-bi-python-sql-ssis-etl/
课程评论：没有评论
## 成为数据工程师- BI, Python, SQL, SSIS, ETL 课程总结 本 Coursera 课程旨在培养学员成为精通商业智能（BI）领域的数据工程师。通过系统学习，学员将全面掌握 **Python 编程**（包括 Pandas 和 NumPy 库在数据处理、分析和可视化中的应用）、**SQL 数据库管理**（查询、管理、优化和高级数据操作）以及 **SSIS（SQL Server Integration Services）**，并深入理解 **ETL（Extract, Transform, Load）** 流程。课程内容涵盖从 MySQL 到 SQL Server 的**数据库迁移**。 **学员将学到的关键技能：** * **Python 编程：** 掌握 Python 基础及其在数据处理、分析和可视化中的应用。 * **SQL 数据库管理：** 精通 SQL 查询、管理、优化及高级数据操作。 * **SSIS：** 深入理解 SSIS 在设计和实现 ETL 解决方案中的作用。 * **ETL 流程：** 学习 ETL 的原则和最佳实践，包括数据提取、转换和加载。 **课程要求：** * 对数据概念有基本了解，对数据工程和商业智能职业有浓厚兴趣。 * 建议具备基础编程知识（非强制）。 * 具有稳定的网络连接和安装必要软件（Python、SQL 工具等）的计算机。 **课程目标人群：** * 渴望成为专注于商业智能的数据工程师。 * 希望将技能拓展至 BI 数据工程领域的数据分析师或数据科学家。 * 寻求转型数据工程行业，特别是 BI 工具和流程的专业人士。 本课程为有志于在数据工程领域，尤其是商业智能方向发展的个人提供了坚实的基础。
This course aims to equip individuals with the essential skills required to become proficient Data Engineers specializing in Business Intelligence. Participants will gain a comprehensive understanding of Python programming, SQL database management, SSIS (SQL Server Integration Services), and the fundamentals of Extract, Transform, Load (ETL) processes. Through a combination of theoretical learning and hands-on practical exercises, students will develop the expertise needed to excel in the field of Data Engineering, particularly in BI-related tasks.Skills Students Will Learn:Throughout this course, participants will gain proficiency in the following key areas:Python Programming: Learn the fundamentals of Python programming and its application in data manipulation, analysis, and visualization, using libraries such as Pandas and NumPy.SQL Database Management: Master SQL for database querying, management, optimization, and advanced data manipulation techniques.SSIS (SQL Server Integration Services): Gain a comprehensive understanding of SSIS and its role in designing and implementing ETL solutions for data integration.ETL Processes: Learn the principles and best practices of Extract, Transform, Load (ETL) processes, including data extraction, transformation, and loading into target systemsDatabase migration from MySQL to SQL ServerCourse Requirements:This course is suitable for individuals with a basic understanding of data concepts and a strong interest in pursuing a career in data engineering and business intelligence. Prerequisites for this course include:Familiarity with Data Concepts: Basic understanding of data types, databases, and data manipulation concepts is recommended.Basic Programming Knowledge: Some familiarity with programming concepts would be beneficial, but not mandatory.Computer Literacy: Access to a computer with a stable internet connection and the ability to install necessary software (Python, SQL tools, etc.) for hands-on exercises.Who Is the Course Designed For?Aspiring Data Engineers seeking to specialize in Business Intelligence.Data Analysts or Data Scientists aiming to expand their skill set into the realm of data engineering for BI applications.Professionals transitioning to careers in the field of data engineering with a specific focus on BI tools and processes.This course is designed to be accessible and comprehensive, this course provides a solid foundation for individuals looking to embark on or advance within a career in data engineering, particularly within the Business Intelligence domain.Join us on this learning journey as we delve into the core concepts and practical applications essential for becoming proficient in Data Engineering for Business Intelligence.
