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SQL for Data Science (and Version Control with GitHub)
Coursera

SQL for Data Science (and Version Control with GitHub)

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深入了解一个主题并学习基础知识。
4.2

(14 条评论)

初级 等级
无需具备相关经验
3 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
4.2

(14 条评论)

初级 等级
无需具备相关经验
3 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

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June 2025

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累 Data Analysis 领域的专业知识

本课程是 Python, SQL, Tableau for Data Science 专业证书 专项课程的一部分
在注册此课程时,您还会同时注册此专业证书。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 通过 Coursera 获得可共享的职业证书

该课程共有5个模块

In this introductory module, you'll jumpstart your journey into the world of SQL and data science. You'll set up a professional-grade development environment using Jupyter Notebooks, master basic SQL syntax, and craft your first SELECT statements with WHERE clauses. Beyond coding, you'll dive into version control with Git, learning the exact tools and workflows that data teams use in collaborative projects. Through a dynamic mix of video lectures, readings, and hands-on labs built around real-world scenarios, you'll transform from a beginner to a confident SQL developer. By the module's end, you'll have a powerful toolkit for writing queries and managing code, plus the professional workflows you'll need for the exciting challenges ahead in this course.

涵盖的内容

2个视频10篇阅读材料1个作业1个编程作业3个非评分实验室3个插件

In this module, you'll dive into the heart of SQL data manipulation, mastering essential techniques that data analysts use every day. You'll start with fundamental SELECT statements and progress to powerful data combination methods across multiple tables. Through hands-on practice with the BookCycle dataset, you'll learn to sort, filter, and aggregate data like a pro. By the end of this module, you'll craft queries that transform raw data into actionable business insights, and even explore how to optimize your queries using modern AI tools.

涵盖的内容

1篇阅读材料2个作业4个非评分实验室2个插件

In this module, you'll move beyond basic SQL by learning powerful techniques like subqueries, Common Table Expressions, and window functions - essential tools for advanced data analysis. Through hands-on practice with the BookCycle dataset, you'll master the art of writing efficient queries that handle multi-layered business questions. You'll also leverage AI tools to optimize your queries for better performance. By the module's end, you'll command an advanced SQL toolkit that separates novice coders from professional data analysts.

涵盖的内容

2篇阅读材料3个作业4个非评分实验室2个插件

In this module, you'll master essential data preparation and management skills - the foundation of reliable analysis. You'll learn to transform messy data into analysis-ready datasets through cleaning techniques and data manipulation operations. Working with the BookCycle dataset, you'll explore database schemas, optimize performance, and handle data across different formats. By the module’s end, you'll be able to use AI tools for optimization and integrate SQL workflows into broader data science projects.

涵盖的内容

2篇阅读材料3个作业6个非评分实验室3个插件

In this final module, you'll bring together everything you've learned throughout the course to tackle a comprehensive real-world data analysis challenge. Working with the TechMart retail dataset, you'll utilize your SQL skills to clean messy data, craft complex queries, and generate actionable business insights. You'll apply advanced techniques like window functions and CTEs, optimize query performance, and leverage AI tools to enhance your workflow. You’ll build a complete data analysis report, encompassing the project from initial data exploration to final presentation of findings. This capstone project simulates real-world data analysis, giving you both a portfolio piece and practical experience solving business problems.

涵盖的内容

1个视频3篇阅读材料1个作业1个非评分实验室

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Professionals from the Industry
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学生评论

4.2

14 条评论

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  • 4 stars

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