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。

Northeastern University
您将获得的技能: Data Wrangling, Data Manipulation, Data Transformation, Data Integration, Extract, Transform, Load, Data Processing, Data Preprocessing, Data Cleansing, Data Quality, Alteryx, SQL, Data-Driven Decision-Making, Business Analysis, Data Pipelines, Relational Databases, Data Integrity, Internal Communications, Data Collection, Python Programming, Automation
混合 · 课程 · 1-3 个月

您将获得的技能: Data Ethics, File Management, Data Security, Google Sheets, Databases, Data Access, Data Storage, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Data Import/Export, Metadata Management, Unstructured Data
★ 4.8 (2.3万) · 初级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Data Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
★ 4.8 (265) · 初级 · 专业证书 · 3-6 个月

University of Illinois Urbana-Champaign
您将获得的技能: 数据分析, 非结构化数据, 分析, 自然语言处理, 概率分布, 模型优化, 分类算法, 数据挖掘, 统计机器学习, 文本挖掘, 统计分析, 应用机器学习, 数据驱动决策, 生成模型架构, 概率与统计, 相关性分析, 统计方法, 无监督学习
★ 4.5 (741) · 混合 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning
★ 4.4 (41) · 中级 · 专项课程 · 3-6 个月

Illinois Tech
您将获得的技能: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Statistical Programming, Data Analysis, Logistic Regression, R Programming, Verification And Validation
★ 4.5 (49) · 中级 · 专项课程 · 3-6 个月

Illinois Tech
您将获得的技能: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Model Evaluation, Data Visualization, Data Science, Exploratory Data Analysis, Data Presentation, Statistical Programming, Statistical Methods, Statistical Machine Learning, Analysis, Statistical Modeling, Applied Machine Learning, Probability & Statistics, R (Software), Statistical Software, Forecasting, Machine Learning
★ 4.3 (22) · 中级 · 专项课程 · 3-6 个月

Johns Hopkins University
您将获得的技能: Model Evaluation, 模型培训, 功能工程, R 程序设计, 机器学习方法, 分类算法, 随机森林算法, 应用机器学习, 机器学习, 数据预处理, 预测分析, 机器学习软件, 预测建模, 回归分析, 模型评估, 机器学习算法, 监督学习, 分类与回归树 (CART)
★ 4.5 (3267) · 混合 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: 数据分析, 数据质量, 数据处理, 数据导入/导出, 探索性数据分析, 数据科学, Matplotlib, 数据整理, 数据可视化, NumPy, 数据预处理, 数据清理, Python 编程, 数据可视化软件, 柱状图, Pandas(Python 软件包), 数据整合, 散点图, 透视表和图表, 数据操作
★ 4.5 (431) · 初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Statistical Methods, Data Visualization Software, Statistics, Data Wrangling, Data Cleansing, Analytics, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Model Evaluation, Data Collection, Machine Learning
★ 4.7 (25) · 初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 数据分析, Model Evaluation, 功能工程, 非结构化数据, 自然语言处理, 异常检测, 生成式人工智能, 高级分析, 人工智能工作流程, 统计分析, 数据质量, 文本挖掘, 预测, 时间序列分析和预测, 预测建模, 数据驱动决策, 模型评估, 预测分析
★ 4.7 (58) · 中级 · 课程 · 1-3 个月