R 课程可以帮助您学习数据操作、统计分析、数据可视化和编程基础。您可以掌握创建可重复研究、执行 Regression 分析和实施机器学习算法的技能。许多课程都会介绍 RStudio 等工具以及 ggplot2 和 dplyr 等软件包,这些都能提高您分析数据集和有效展示研究结果的能力。

您将获得的技能: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
中级 · 课程 · 1-4 周
Rice University
您将获得的技能: 统计分析, 商业分析, 数据分析, 回归分析, 估算, 统计推理, Model Evaluation, 统计假设检验, 统计建模, Microsoft Excel, 统计方法, 模型评估
★ 4.8 (1366) · 混合 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, Tool Calling, Large Language Modeling, OpenAI API, LLM Application, Prompt Patterns, Multimodal Prompts, OpenAI, AI Orchestration, AI Enablement, Spring Framework, Generative AI, Image Analysis, Embeddings, Spring Boot, Vector Databases, JSON, Real Time Data
中级 · 课程 · 3-6 个月

Coursera
您将获得的技能: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Extract, Transform, Load, Cloud Computing, Data Processing, Data Cleansing, Data Warehousing, Maintainability
初级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Reinforcement Learning, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Data-Driven Decision-Making, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Decision Making, Simulations, Algorithms
中级 · 课程 · 1-4 周

LearnKartS
初级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Scalability, Authentications, Data Validation
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods
中级 · 课程 · 1-4 周

您将获得的技能: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, DevOps, CI/CD, Model Deployment, Performance Tuning, Model Evaluation, Secure Coding, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Statistical Methods, Python Programming
中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 统计分析, 预测建模, 机器学习, 探索性数据分析, 数据展示, 数据科学, 数据收集, 自然语言处理, 数据分析, R 程序设计, 数据预处理, 分析技能, Model Evaluation, 数据清理, 模型评估, 数据操作, 数据故事
★ 4.5 (1240) · 混合 · 课程 · 1-3 个月