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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/chatgpt-for-data-analytics
课程评论:没有评论
课程名称:ChatGPT 与生成性人工智能在数据分析中的应用 课程概述:在人工智能时代的数据专业人士面前,我们拥有了快速提升工作效率的强大工具。本课程将引导您深入了解深度学习和生成性人工智能,探讨大型语言模型(如 ChatGPT 和 Gemini)的迅速崛起,并帮助您使用免费工具提升技能和生产力。 我们将学习如何进行有效的提示工程,评审生成内容的技巧和最佳实践,以便将生成性人工智能整合到日常工作流程中。 课程大纲: 1. **人工智能在数据分析中的介绍** - 该模块将介绍课程内容,设定期望,并下载学习资源。我们将探索人工智能的整体概况,呈现数据专业人士的强大实用案例,并分享提示工程的技巧和最佳实践。 2. **Excel 中的 ChatGPT** - 本模块将演示如何在 Excel 中利用 ChatGPT 工具,包括生成和调试公式、自动化任务、创建示例数据集等。 3. **Google 表格中的 ChatGPT** - 本模块将展示如何在 Google 表格中使用 ChatGPT 工具,包括从示例数据或描述生成公式、应用条件格式、编写应用脚本等。 4. **Power BI 中的 ChatGPT** - 本模块将展示如何在 Power BI 中使用 ChatGPT 工具,包括格式化和注释 DAX 和 M 代码、解释技术概念、生成和调试度量等。 5. **SQL 中的 ChatGPT** - 本模块将演示如何在 SQL 中利用 ChatGPT 工具,包括注释和优化代码、调试和故障排除、生成新查询等。 6. **Python 中的 ChatGPT** - 本模块将展示如何在 Python 中使用 ChatGPT 工具,包括生成和注释代码、研究库、抓取网络数据、解释机器学习模型等。 7. **关键要点与下一步** - 本模块将回顾课程的关键要点,并讨论您学习旅程的下一步行动。 通过本课程,您将获得将生成性人工智能应用于数据分析的实用技能,帮助您在快节奏的工作环境中更加高效。
Name:Intro to AI for Data Analytics
Description:In this module we'll introduce the course curriculum, set expectations, and download the resources you'll need to follow along from home. We'll explore the AI landscape, introduce powerful and practical use cases for data professionals, and share prompt engineering tips and best practices to help you integrate generative AI into your daily workflow.
Name:ChatGPT for Excel
Description:In this module we'll demonstrate how to leverage tools like ChatGPT with Excel, including generating and troubleshooting formulas, automating tasks, creating sample datasets, and more.
Name:ChatGPT for Google Sheets
Description:In this module we'll demonstrate how to leverage tools like ChatGPT with Google Sheets, including generating formulas from sample data or descriptions, applying conditional formats, writing apps scripts, and more.
Name:ChatGPT for Power BI
Description:In this module we'll demonstrate how to leverage tools like ChatGPT with Power BI, including formatting and commenting DAX and M code, explaining technical concepts, generating and troubleshooting measures, and more.
Name:ChatGPT for SQL
Description:In this module we'll demonstrate how to leverage tools like ChatGPT with SQL, including commenting and optimizing code, debugging and troubleshooting, generating new queries and more.
Name:ChatGPT for Python
Description:In this module we'll demonstrate how to leverage tools like ChatGPT with Python, including generating and commenting code, researching libraries, scraping web data, interpreting machine learning models and more.
Name:Key Takeaways & Next Steps
Description:In this module we'll recap the key takeaways from the course and discuss the next steps of your learning journey.
As data professionals in the age of AI, we now have access to tools that give us superpowers to work smarter and faster than ever before. In this course we’ll introduce you to the world of deep learning and generative AI, explore the rapid rise of large language models like ChatGPT and Gemini, and get you up and running with free tools that will take your skills and productivity to the next level. We’ll dive into the art of prompt engineering, review tips and best practices for generating cons