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: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing
中级 · 课程 · 1-3 个月

您将获得的技能: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction
高级设置 · 课程 · 1-3 个月

您将获得的技能: Fraud detection, Anomaly Detection, Loss Prevention, R Programming, R (Software), Analytical Skills, Machine Learning Methods, Unsupervised Learning, Financial Data, Risk Analysis, Analytics, Business Strategies, Data-Driven Decision-Making, Supervised Learning, Big Data
初级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Health Technology, Analytics, Data Preprocessing, AI Integrations, Machine Learning, Machine Learning Algorithms, Health Care, Applied Machine Learning, Data Analysis, Correlation Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Home Health Care, Data Quality, Responsible AI, Business Process Improvement
混合 · 课程 · 1-4 周

Coursera
您将获得的技能: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
★ 4.4 (318) · 中级 · 指导项目 · 不超过 2 小时

您将获得的技能: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export
初级 · 课程 · 1-3 个月

John Wiley & Sons
您将获得的技能: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication
中级 · 课程 · 3-6 个月

Illinois Tech
您将获得的技能: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Preprocessing, Data Processing, Model Training, Correlation Analysis, Decision Tree Learning, Logistic Regression
★ 4.3 (6) · 中级 · 课程 · 1-3 个月

Stanford University
您将获得的技能: 数据转换, 数据挖掘, 功能工程, 数据预处理, 非结构化数据, 健康信息学, 临床数据管理, 负责任的人工智能, 临床研究, 医疗记录, 健康差异, 医学影像, 数据处理, 文本挖掘, 电子病历, 数据伦理, 医疗保健伦理, 数据收集
★ 4.6 (508) · 初级 · 课程 · 1-3 个月

University of London
您将获得的技能: Pandas(Python 软件包), 数据可视化, 分析, 统计资料, Python 编程, 无监督学习, 应用机器学习, 数据操作, 统计方法, 机器学习算法, NumPy, 描述性统计, 数据处理, 数据分析, 绘图(图形), 数据扫盲, 机器学习, 数据科学
★ 4.6 (735) · 初级 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: 商业分析, 高级分析, 无监督学习, 分析, 应用机器学习, 机器学习方法, 回归分析, Python 编程, 决策树学习, 机器学习算法, 机器学习, 监督学习, 预测建模, Scikit Learn(机器学习库), 业务分析, 数据预处理, 分类算法
★ 4.6 (41) · 中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation
高级设置 · 课程 · 1-4 周