统计推理课程
统计 Inference 课程可以帮助您学习假设检验、置信区间、Regression 分析和数据分析。您可以掌握分析 Sampling 样本数据、进行 Prediction 预测以及对更大 Population 得出结论的技能。许多课程都会介绍 R 和 Python 等用于统计编程的工具，以及用于数据 Visualization 的软件，从而提高您有效应用统计方法的能力。
热门统计推理课程和认证
状态：免费试用Duke University
您将获得的技能: 检索-增强生成, LLM 申请, Python 程序设计, 风险管理框架, 应用程序部署, 大型语言模型, OpenAI 应用程序接口, 应用编程接口 (API), 模型部署, Prompt Engineering, 嵌入, 微软 Azure, OpenAI
状态：免费试用Politecnico di Milano
您将获得的技能: Algorithm, 模型评估, 无监督学习, Machine Learning 方法, 分类算法, 降维, 强化学习, 机器学习算法, 机器学习, 监督学习
状态：免费试用Wesleyan University
您将获得的技能: 统计分析, 数据分析, 研究, 数据叙事, 大数据, 探索性数据分析, 分析技能, 撰写报告, 数据科学, 数据管理, Data Management, 数据可视化, 实时数据, 研究设计
状态：预览University of Michigan
您将获得的技能: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Health Care Procedure and Regulation, Clinical Research, Model Evaluation, Data Ethics, Healthcare Industry Knowledge, Probability & Statistics, Health Technology, Clinical Assessment, Health Informatics, Medical Equipment and Technology, Responsible AI, Applied Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities
状态：预览Johns Hopkins University
您将获得的技能: Operations Research, Resource Allocation, Simulation and Simulation Software, Microsoft Excel, Business Analytics, Data-Driven Decision-Making, Business Risk Management, Transportation Operations, Analytics, Risk Analysis, Process Optimization, Statistical Methods, Business Modeling, Logistics
状态：免费试用Johns Hopkins University
您将获得的技能: R 语言程序设计（中文版）, 数据分析, 数据操作, R（软件）, 数据整理, 数据导入/导出, 文件管理, 数据管理, Data Management, 数据科学, 探索性数据分析, 数据可视化, 数据转换, 数据清理, Tidyverse（R 软件包）
状态：新状态：免费试用University of Cambridge
您将获得的技能: Cash Flow Forecasting, Accrual Accounting, Financial Reporting, Finance, Financial Analysis, Financial Accounting, Accounting, Financial Management, Financial Modeling, Corporate Finance, Capital Markets, Cash Flows, Financial Statements, Accruals, Depreciation, Key Performance Indicators (KPIs), Investments, Loans, Strategic Decision-Making, Problem Solving
状态：免费试用Rice University
您将获得的技能: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Case Studies, Statistical Analysis, Quantitative Research, Data Analysis, Correlation Analysis
状态：免费试用您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
状态：预览University of London
您将获得的技能: 描述性统计, 数据分析, 环境科学, 散点图, 政策分析, 环境政策, 统计, 微软Excel, 数据可视化, 相关性分析, 气候变化计划, 概率分布
状态：免费试用您将获得的技能: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Data Analysis
状态：免费试用Fundação Instituto de Administração
您将获得的技能: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Ggplot2, Marketing, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Analytics, Data Science, Data Analysis, Innovation, Business Analytics, Data Manipulation
与 statistical inference 相关的搜索
总之，以下是 10 最受欢迎的 statistical inference 课程
- 在 Azure 上运行 LLM: Duke University
- 机器学习：概述: Politecnico di Milano
- 数据分析与解释: Wesleyan University
- Data Augmented Technology Assisted Medical Decision Making : University of Michigan
- Advanced Business Analytics: Excel Optimization & Simulation: Johns Hopkins University
- Tidyverse 简介: Johns Hopkins University
- Principles of Financial Leadership: University of Cambridge
- Data Analysis for Managerial Decision-Making: Rice University
- Machine Learning Using SAS Viya: SAS
- 做经济学：衡量气候变化: University of London
