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所在平台: Udemy |
课程主页: https://www.udemy.com/course/modern-data-wrangling/
课程评论：没有评论
**现代数据处理与人工智能Python课程（从入门到精通）中文内容总结** 本课程“现代数据处理与人工智能Python：从入门到精通”旨在帮助学员掌握利用Python和前沿人工智能技术进行高效数据处理和操控的关键技能。 在当今数据驱动的世界中，高效的数据处理能力是成功决策、预测建模和获取宝贵洞察的基础。本课程将带领学习者循序渐进，从数据处理基础知识过渡到先进的人工智能驱动的数据操控，最终使其成为该领域的熟练从业者。 课程内容涵盖： 1. **工具安装与设置：** 介绍数据处理所需的现代工具的安装和配置。 2. **数据探索：** 立即开始编码实践，学习数据探索的技巧。 3. **理论概念：** 在实践编码后，深入理解数据探索背后的理论知识。 4. **结构化数据处理：** 学习如何处理和分析结构化数据。 5. **非结构化数据处理：** 掌握处理非结构化数据的方法，包括PDF文件的操作。 6. **半结构化数据与Web服务/API：** 学习如何处理半结构化数据以及与Web服务和API交互。 7. **数据结构化：** 探索如何使数据更有用、更具价值。 8. **数据清洗：** 学习数据清洗的技术，以去除噪声和错误。 9. **数据丰富：** 了解如何丰富数据以提升其价值。 10. **数据验证：** 学习数据验证的方法，确保数据的准确性和一致性。 11. **数据发布**：课程的最后阶段。 本课程包含180多个视频，完成后您将精通数据处理的全过程。
Welcome to "Modern Data Wrangling with AI and Python: From Beginner to Pro." This comprehensive course is designed to equip participants with the essential skills and knowledge to effectively wrangle and manipulate data using the power of Python and integrate cutting-edge AI techniques.In today's data-driven world, the ability to wrangle and process data efficiently is fundamental for successful decision-making, predictive modelling, and gaining valuable insights. This course is structured to take learners on a journey from the basics of data wrangling to advanced AI-powered data manipulation, enabling them to become proficient practitioners in the field.This course begins by showing you how to install all the modern tools required for data wrangling. Next, we dive right into data exploration. We immediately start coding. After we've written our first code, we go over the concepts in a theoretical section. After data exploration, we cover structured data. After structured data comes unstructured data, including how to work with PDF files in data wrangling. Next, we cover, semi-structured data and web services, or APIs. In the structuring section, we try to answer the question - how do I make my data more useful? Next, we look at cleaning up our data. After we've cleaned up the data, we learn how to enrich data to make it more valuable. After enrichment comes data validation and we wrap up with publishing.In total, there are more than 180 videos in this course and you'll be well-versed in data wrangling once you've completed it.
