Data Engineering Foundations Specialization

所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew

课程主页: https://www.coursera.org/specializations/data-engineering-foundations

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课程简介

该课程名为《数据工程基础专项》，旨在为学习者提供数据工程的基本技能和知识。课程由IBM提供，适合初学者，涵盖了数据工程领域快速增长职业所需的各种技能。 课程内容包括： 1. 数据工程简介：了解数据工程的基础概念和实践。 2. Python编程：学习Python语言，掌握数据科学和人工智能中的应用。 3. 数据提取、转换和加载（ETL）：掌握如何有效处理和转换数据。 4. 关系数据库管理系统（RDBMS）：深入了解关系型数据库的工作原理和使用。 5. SQL基础：学习结构化查询语言（SQL），是数据专业人士必备的技能。 6. 数据科学基础：了解数据科学的基本概念和技术。 7. 数据库管理系统（DBMS）和NoSQL：探索不同类型的数据库及其应用。 8. 数据分析：使用Pandas和Numpy等工具进行数据分析。 9. 网络爬虫：学习如何从网络上提取数据。 课程链接和详细信息可在Coursera找到，学习者可以自由注册，开始自己的学习之旅。此专项课程通过一系列的实践项目，帮助学员展示所学习的技能，并为将来的职业发展奠定基础。

课程大纲

Course Link: https://www.coursera.org/learn/introduction-to-data-engineering

Name:Introduction to Data Engineering

Description:Offered by IBM. Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You ... Enroll for free.

Course Link: https://www.coursera.org/learn/python-for-applied-data-science-ai

Name:Python for Data Science, AI & Development

Description:Offered by IBM. Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most ... Enroll for free.

Course Link: https://www.coursera.org/learn/python-project-for-data-engineering

Name:Python Project for Data Engineering

Description:Offered by IBM. Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python ... Enroll for free.

Course Link: https://www.coursera.org/learn/introduction-to-relational-databases

Name:Introduction to Relational Databases (RDBMS)

Description:Offered by IBM. Are you ready to dive into the world of data engineering? In this beginner level course, you will gain a solid understanding ... Enroll for free.

Course Link: https://www.coursera.org/learn/sql-data-science

Name:Databases and SQL for Data Science with Python

Description:Offered by IBM. Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts ... Enroll for free.

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