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Smart Data Cleaning with Generative AI

本课程是多个项目的一部分。

位教师：Dr. Beju Rao

包含在中

了解更多

5个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

7 小时完成

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

7 小时完成

灵活的计划

自行安排学习进度

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

5 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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

积累特定领域的专业知识

此课程作为的一部分提供

在注册此课程时，您还需要选择一个特定的合作项目。

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
获得可共享的职业证书

该课程共有5个模块

Tired of spending hours on tedious data cleaning? Imagine if AI could handle the heavy lifting for you, turning days of work into minutes. From detecting errors to organizing vast datasets, Generative AI can not only save you time but also elevate your data quality to new heights. Dive into this course to learn how to transform data prep from a chore into a game-changing advantage!

This short course was created to help you leverage Generative AI to simplify data cleaning and preparation, making workflows faster, more efficient, and accurate. By completing this course, you’ll gain hands-on knowledge of Generative AI techniques that can be immediately applied to improve your data preparation workflows. By the end of this 2.5-hour long course, you will be able to: - Identify common challenges in data cleaning and preparation that can be automated with Generative AI. - Apply Generative AI tools and techniques to automate repetitive data cleaning tasks, streamlining the data preparation process. - Evaluate the effectiveness of Generative AI in improving the efficiency and accuracy of data cleaning and preparation processes. - Implement specific Generative AI strategies in data cleaning workflows to minimize manual effort. This course is unique because it combines a practical, hands-on approach with real-world case studies, enabling you to directly apply AI tools and techniques to relevant data challenges. You’ll not only explore cutting-edge AI tools but also gain valuable insights into optimizing your data preparation processes through automated solutions. To be successful in this course, you should have a background in data handling and basic AI concepts. Experience with programming in Python and data preparation will be helpful to get the most out of the exercises. Throughout the course, you'll be assessed through a combination of practice quizzes, hands-on exercises, and a final graded assessment. These assessments are designed to ensure you've truly mastered the material and can apply your newfound knowledge to real-world scenarios. To succeed, stay engaged with the hands-on exercises, actively explore the Generative AI tools introduced, and take time to analyze the case studies provided. These activities will not only deepen your understanding but also equip you with actionable skills for immediate use in your data projects.

单元详情

In this introductory video, you’ll get an overview of how Generative AI automates data cleaning, the key tools and skills you'll learn, and the prerequisites to help you get the most out of this course. You’ll also learn how AI enhances data preparation, improves efficiency, and integrates into existing workflows. By the end, you'll be ready to apply AI for faster, more effective data handling.

涵盖的内容

1个视频1篇阅读材料

In this lesson, you’ll explore common data-cleaning challenges and see how Generative AI can automate tasks using techniques like natural language processing and code generation. You’ll learn how AI streamlines data preparation, making workflows faster and more efficient. And to make sure it all clicks, you’ll have practice quizzes along the way!

涵盖的内容

2个视频1篇阅读材料1个作业

In this lesson, you’ll apply Generative AI tools to streamline data preparation, automating repetitive cleaning tasks with minimal effort. Through hands-on practice, you’ll explore popular AI tools, set up configurations, and optimize data ingestion and transformation. And to make sure it all clicks, you’ll have practice quizzes along the way!

涵盖的内容

2个视频1篇阅读材料1个作业1个非评分实验室

In this lesson, you’ll apply Generative AI tools to streamline data preparation, automating repetitive In this lesson, you’ll learn how to measure the impact of Generative AI on data cleaning. You’ll explore key metrics, real-world examples, and potential limitations. To put your skills into action, you’ll complete a hands-on assignment. And to make sure it all clicks, you’ll have practice quizzes along the way!

涵盖的内容

2个视频1篇阅读材料1个作业1个非评分实验室

In this lesson, you’ll explore how Generative AI automates data-cleaning tasks like standardizing formats, handling missing values, and detecting anomalies. Then, through a hands-on assignment, you’ll apply these techniques to streamline your workflows. And to make sure it all clicks, you’ll have practice quizzes along the way!