中This foundational course provides a comprehensive understanding of generative AI and its applications in data analysis. You'll explore key tools and platforms, learn to integrate AI into existing workflows, and master prompt engineering for various data analysis tasks.
Introduction to Generative AI for Data Analysis
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作业
29 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
积累 Data Analysis 领域的专业知识
本课程是 Microsoft Generative AI for Data Analysis 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。
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该课程共有5个模块
Develop a foundational understanding of what Generative AI is, its current applications in data analysis, and the key tools and platforms available.
涵盖的内容
7个视频8篇阅读材料4个作业
Integrate generative AI tools into their existing data analysis workflows to streamline data exploration, uncover insights, and enhance decision-making processes.
涵盖的内容
9个视频6篇阅读材料6个作业
Apply generative AI tools to investigate and summarize datasets, and identify patterns and relationships, and formulate hypotheses for further analysis.
涵盖的内容
7个视频8篇阅读材料6个作业
Develop the skills to create and optimize effective prompts for diverse data analysis tasks, enhancing the quality and efficiency of data cleaning, analysis, and visualization outcomes.
涵盖的内容
6个视频9篇阅读材料7个作业
Evaluate and apply ethical, legal, and practical considerations in utilizing generative AI for data analysis, ensuring responsible application and risk mitigation.
涵盖的内容
7个视频7篇阅读材料6个作业
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状态：预览Microsoft
状态：免费试用
状态：免费试用
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
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自 2021开始学习的学生
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学生评论
4.2
69 条评论
- 5 stars
60%
- 4 stars
22.85%
- 3 stars
5.71%
- 2 stars
5.71%
- 1 star
5.71%
显示 3/69 个
JP
5
已于 Mar 9, 2025审阅
Overall it was really good, but theory was too much. Much appreciate if include more practical practices.
ZZ
5
已于 Aug 3, 2025审阅
So honored to be part of it and learned a lot from it
AO
4
已于 Dec 28, 2024审阅
This is very good course for anyone planning to use Gen AI for data analysis tasks.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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