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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-methods-and-algorithms-2024/
课程评论：没有评论
课程名称：数据科学方法与算法 [2025] 课程概述：欢迎参加《数据科学方法与算法：使用Pandas和Python》课程！数据科学正在全球范围内快速扩展与发展，各行各业都在推动数据科学方法与算法的实施，以优化生活、商业、社会、政府等各个方面。该课程将教授大量的数据科学方法和算法，为数据科学的职业与学习打下坚实基础，无论是初学者还是有经验的数据科学家，都能从中学到许多新知识。 课程内容包括五个部分的精华课程，学习重点包括回归分析、预测、分类、监督学习、聚类分析、无监督学习、Python 3、Pandas 2和3以及高级数据处理技术。通过此课程，您将掌握从线性回归到高级多元多项式回归模型的各种模型，掌握分类过程和理论，学习有效的分类器模型，如随机森林分类器和投票分类器。 在课程中，您将深入学习聚类分析及其无监督学习的理论和实践，掌握使用Python 3进行数据处理的技能，学习使用Pandas强大的数据处理技术。此外，还将涵盖Scikit-learn、Statsmodels、Matplotlib、Seaborn等Python库的使用，掌握AI预测模型和自动模型创建的高级知识。 课程还提供了Anaconda Cloud Notebook的使用指南，帮助您利用云计算资源，适用于Windows、Mac和Linux的Anaconda发行版设置指南，以及Python环境基础的相关知识。无论您是初学者还是有经验的数据科学家，该课程都旨在提供全面且易于理解的学习材料，使学习者能够掌握数据处理的关键技能。 如果您希望掌握回归、预测、分类、聚类分析、Python、Pandas及数据处理，这将是一个极佳的学习机会！课程包括35小时以上的视频教程，并在完成后颁发结业证书。 课程要求：基本的数学运算能力（加减乘除），日常计算机使用经验，推荐对互联网连接设备的访问。不需要编程经验，课程将提供所有必要的知识，且仅使用免费的软件。课程包括对于云计算及Windows操作系统安装和设置的指导视频。 欢迎报名参加！
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Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeMaster the Python 3 programming language for Data HandlingMaster Pandas 2 and 3 for Advanced Data HandlingAnd much more…This course includesa comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for Data Handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, Python, Data Science, or Machine Learningan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). 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