数据挖掘课程
数据挖掘课程可以帮助您学习数据预处理、模式识别和预测建模技术。您可以掌握 Cluster、Classification 和 Anomaly Detection 等技能，从而支持从大型数据集中提取有意义的见解。许多课程都会介绍 Python、R 和 SQL 等工具，以及 RapidMiner 和 Weka 等软件，帮助您在实际数据分析项目中应用这些技能。
热门数据挖掘课程与认证
状态：免费试用University of California, Irvine
您将获得的技能: 统计分析, 数据分析, 数据建模, 监督学习, 模型评估, 决策树学习, 预测分析, 描述性分析, 回归分析, 预测建模, 分类算法, 预测, 机器学习, 无监督学习, 逻辑回归
状态：免费试用您将获得的技能: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Office, Microsoft Outlook, Productivity Software, Workflow Management, AI Enablement, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Presentations, Generative AI, Identity and Access Management, Data Security
您将获得的技能: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
您将获得的技能: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
状态：新状态：免费试用Google
您将获得的技能: Package and Software Management, Data Science, Computer Programming, Mathematical Software
您将获得的技能: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing
状态：免费试用University of Amsterdam
您将获得的技能: 统计推理, 回归分析, R 语言程序设计（中文版）, 逻辑回归, 统计
状态：免费试用您将获得的技能: Multimodal Prompts, OpenAI API, ChatGPT, JSON, Large Language Modeling, Python Programming, Text Mining, Data Validation, Unstructured Data
状态：免费试用Google Cloud
您将获得的技能: AI 个性化服务, 数据预处理, Google 云端平台, 人工智能和机器学习（AI/ML）, 强化学习, 深度学习, 机器学习算法, 功能工程, 应用机器学习, 人工神经网络, 无监督学习, Machine Learning 方法, 嵌入, 机器学习, Algorithm
您将获得的技能: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation
状态：预览Eindhoven University of Technology
您将获得的技能: 统计方法, 数据共享, 统计分析, 统计推理, 研究, R 语言程序设计（中文版）, 数据综合, 研究设计, 定量研究, 样本量的确定, 实验, 科学与研究
状态：免费试用您将获得的技能: 数据导入/导出, 数据预处理, 微软Excel, 数据分析, 数据访问, 调试, 数据操作, SAS（软件）, 统计编程
总之，以下是 10 最受欢迎的 data mining 课程
- 预测建模、模型拟合和回归分析: University of California, Irvine
- Introduction to Microsoft 365 Copilot: Microsoft
- Naive Bayes 101: Resume Selection with Machine Learning: Coursera
- Build a Machine Learning Web App with Streamlit and Python: Coursera
- Hello, Python!: Google
- Principal Component Analysis with NumPy: Coursera
- 推断统计: University of Amsterdam
- Prompt Engineering in Python, with GPT, and the OpenAI API: Packt
- 谷歌云上的推荐系统: Google Cloud
- The STATA OMNIBUS: Regression and Modelling with STATA: Packt
