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。

Johns Hopkins University
您将获得的技能: 预测建模, 回归分析, 探索性数据分析, 监督学习, 机器学习, R 语言程序设计(中文版), 机器学习算法, 模型评估, 分类算法, 统计机器学习, 数据预处理, 预测分析, 随机森林算法, 应用机器学习, 功能工程, 数据整理
混合 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Apache Hadoop, Big Data, Machine Learning Algorithms, Model Evaluation, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Apache Spark, Data Analysis, Exploratory Data Analysis, NoSQL, Apache Kafka, Generative AI, Convolutional Neural Networks, Transfer Learning, Distributed Computing, Probability & Statistics, Real Time Data, Data Cleansing, Machine Learning
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中级 · 专项课程 · 3-6 个月

Wesleyan University
您将获得的技能: 回归分析, 机器学习算法, 探索性数据分析, 决策树学习, 机器学习, Python 程序设计, 模型评估, 分类与回归树 (CART), 无监督学习, 预测分析, 数据挖掘, 功能工程, 数据分析, 随机森林算法, 应用机器学习, 统计分析
混合 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Statistical Inference, Data Analysis, Exploratory Data Analysis, Regression Analysis, Probability & Statistics, Data Cleansing, Analytics, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Statistical Methods, R (Software), Data Mining, Data Science
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中级 · 专项课程 · 3-6 个月

Meta
您将获得的技能: 统计建模, 数据结构, 探索性数据分析, Python 程序设计, 描述性统计, 数据可视化软件, 数据操作, Matplotlib, 数据科学, Pandas(Python 软件包), 数据可视化, 数据分析, 编程原则, Seaborn, 数据清理
初级 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: Database Design, Relational Databases, Database Management, Apache Hadoop, Database Theory, Big Data, Machine Learning Algorithms, Databases, SQL, Database Development, Model Evaluation, MySQL, Database Systems, Transaction Processing, Statistical Analysis, Apache Spark, Data Integrity, Database Management Systems, Data Analysis, Data Preprocessing
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中级 · 专项课程 · 3-6 个月

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
初级 · 课程 · 1-4 周

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

您将获得的技能: Generative AI, Anomaly Detection, Predictive Modeling, Text Mining, Predictive Analytics, Advanced Analytics, Data Cleansing, Prompt Engineering, Natural Language Processing, Unstructured Data, Data Analysis, Data Preprocessing, Statistical Analysis, Time Series Analysis and Forecasting, Model Evaluation, Exploratory Data Analysis
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
初级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Home Health Care, Generative AI, Business Process Improvement
混合 · 课程 · 1-4 周