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所在平台: Udemy |
课程主页: https://www.udemy.com/course/chatgptandpython/
课程评论：没有评论
课程名称：数据分析中的提示工程：Python、Pandas与ChatGPT 课程概述：本课程专注于提示工程和Python的应用，旨在帮助学员掌握将ChatGPT与数据工具（如Pandas）整合的能力。无论您是初学者还是已有一定编程基础，课程将逐步引导您设置环境，学习Python基础，并通过实践数据分析技巧使用提示工程。从数据导入到洞察构建以及可视化创建，课程涵盖了将原始数据转化为可操作见解所需的所有内容。 学习内容： 1. **提示工程基础**：学习如何有效与ChatGPT沟通，以增强其在数据任务中的实用性。 2. **Python设定与Jupyter Notebook基础**：使用Anaconda、Jupyter Notebook和Google Colab设置您的Python开发环境，确保您具备跨平台高效工作的工具。 3. **Pandas数据分析**：掌握Pandas技能，从Series和DataFrames的操作到使用GroupBy进行高级数据处理。学习提示工程策略以简化任务，提高分析效率。 4. **数据可视化与管理**：探索数据可视化技巧，学习如何导入、导出和处理多个数据文件。这些技能将帮助您有效呈现发现并管理复杂的数据项目。 5. **实际项目应用**：通过电子商务交易分析、薪资数据集探索、电影成功因素分析和股票表现评估等实际项目应用所学知识，增强问题解决能力。 6. **在Python中构建GUI应用**：超越数据分析，学习如何创建图形用户界面应用，为您的数据解决方案添加用户友好的界面，使非技术用户也能轻松使用。 通过本课程的学习，您将能够独立完成数据分析项目，使用Python、Pandas和ChatGPT的提示工程，准备好基于数据做出决策，为任何组织创造价值。
Unlock the potential of data analysis with this focused course on prompt engineering and Python, designed for those looking to master the integration of ChatGPT with data tools like Pandas. Whether you're a beginner or have some coding experience, this course takes you step-by-step through setting up your environment, learning Python fundamentals, and diving into practical data analysis using prompt engineering techniques. From importing data to building insights and creating visualizations, this course covers everything you need to turn raw data into actionable insights.What You'll Learn:Essentials of Prompt Engineering with ChatGPT: Begin with the basics of prompt engineering and learn how to communicate effectively with ChatGPT, enhancing its usefulness for data-related tasks.Python Setup & Jupyter Notebook Basics: Set up your Python environment with Anaconda, Jupyter Notebook, and Google Colab, ensuring you have the tools you need to work efficiently across platforms.Pandas for Data Analysis: Dive into essential Pandas skills, from working with Series and DataFrames to advanced data manipulation with functions like GroupBy. Learn prompt engineering strategies to streamline tasks and increase analysis efficiency.Data Visualization and Data Management: Explore data visualization techniques and discover how to import, export, and handle multiple data files. These skills empower you to present findings effectively and manage complex data projects.Real-World Projects: Apply what you've learned to hands-on projects, including e-commerce transaction analysis, salary dataset exploration, movie success factor analysis, and stock performance. Each project is designed to give you experience with real-world data and enhance your problem-solving skills.Build GUI Apps in Python: Move beyond data analysis to learn how to create GUI applications, adding a user-friendly interface to your data solutions and making your work accessible to non-technical users.By the end of this course, you'll be equipped to handle data analysis projects from start to finish, using Python, Pandas, and prompt engineering with ChatGPT. Get ready to make data-driven decisions and add value to any organization with these cutting-edge skills!
