因果推论课程可以帮助您学习统计技术、实验设计和观察研究方法。您可以掌握识别因果关系、分析 Data Set 和解释结果的技能,为决策提供依据。许多课程都会介绍 R、Python 等工具以及进行因果分析的专项软件,使您能够在公共卫生、经济学和社会科学等现实世界中应用这些技能。

Pragmatic AI Labs
您将获得的技能: Amazon Bedrock, Amazon Web Services, Agentic Workflows, LLM Application, AI Workflows, Anthropic Claude, Generative AI Agents, Agentic systems, Retrieval-Augmented Generation, Tool Calling, Cloud Computing, Generative AI, Model Deployment, Prototyping, Bash (Scripting Language), Embeddings, Large Language Modeling, Restful API, Model Evaluation, Rust (Programming Language)
初级 · 课程 · 1-4 周

Duke University
您将获得的技能: 数据分析, 统计分析, 统计假设检验, 统计建模, 模型评估, 统计资料, R 程序设计, 相关性分析, 回归分析, 概率与统计, Model Evaluation, 预测建模, 统计编程, 数学建模, R(软件), 统计方法, 统计推理, 统计软件
初级 · 课程 · 1-4 周

您将获得的技能: API Design, MLOps (Machine Learning Operations), Restful API, Fine-tuning, OAuth, Model Deployment, Technical Communication, Model Training, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Model Optimization, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
中级 · 课程 · 3-6 个月

Board Infinity
您将获得的技能: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence
中级 · 专项课程 · 1-3 个月

Northeastern University
您将获得的技能: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 数据科学, 统计分析, 统计假设检验, 抽样(统计), 贝叶斯统计, 统计资料, 统计机器学习, 相关性分析, A/B 测试, 概率与统计, 概率分布, 柱状图, 探索性数据分析, 描述性统计, 统计方法, 箱形图, 统计推理, 统计可视化, 概率
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Machine Learning Methods, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis
攻读学位
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning
中级 · 课程 · 1-4 周

Packt
您将获得的技能: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
中级 · 课程 · 3-6 个月
Rice University
您将获得的技能: 数据分析, 统计分析, 统计假设检验, Microsoft Excel, 统计建模, 模型评估, Model Evaluation, 回归分析, 数据转换, 估算, 商业分析, 统计方法, 统计推理, 分析
混合 · 课程 · 1-4 周
University of London
您将获得的技能: 数据分析, 统计分析, 统计假设检验, 抽样(统计), 统计建模, 运筹学, 数据可视化, 回归分析, 描述性统计, 概率与统计, 数学建模, 探索性数据分析, 概率分布, 风险建模, 统计推理, 数据驱动决策, 概率, 决策树学习, 统计方法
初级 · 课程 · 1-3 个月

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines
中级 · 课程 · 1-4 周