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。
University of Minnesota
您将获得的技能: 描述性统计, 微软Excel, 角色开发, 电子表格软件, 文本挖掘, Algorithm, 信息架构, 预测分析, 分类学, 计算机编程, Java 编程, 机器学习
中级 · 课程 · 1-3 个月
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: Deepseek, LangChain, Generative AI, LLM Application, Tool Calling, AI Workflows, AI Orchestration, Prompt Engineering, Automation, Data Integration, Cross Platform Development, Systems Integration
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 计算机视觉, 迁移学习, 无监督学习, 监督学习, 递归神经网络 (RNN), PyTorch(机器学习库), 卷积神经网络, 深度学习, 人工神经网络, 机器学习, 逻辑回归, 医学影像, 自然语言处理, Python 程序设计, 图像分析, 应用机器学习, 强化学习
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Responsible AI, Threat Modeling, MLOps (Machine Learning Operations), Security Testing, Secure Coding, Cost Management, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
中级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, AI Enablement, Strategic Thinking, Generative AI, Analysis
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Data Visualization, Miro AI, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 预测建模, 深度学习, 预测, 统计分析, 数据预处理, 临床试验, 应用机器学习, 治疗计划, 功能工程, 数据分析, 卷积神经网络, 放射诊断学, AI 个性化服务, 机器学习, 图像分析, 风险模型, 模型评估, 病人治疗, 决策树学习, 随机森林算法
中级 · 专项课程 · 1-3 个月

Coursera
您将获得的技能: Web Analytics, Customer Engagement, Campaign Management, Analysis, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 深度学习, 无监督学习, 生成对抗网络 (GAN), PyTorch(机器学习库), 人工神经网络, 信息隐私, 卷积神经网络, 生成模型架构, 生成式人工智能, 模型评估, 图像质量, 数据综合, 数据伦理, 机器学习, 负责任的人工智能, 图像分析
中级 · 专项课程 · 1-3 个月