Regression 课程
回归课程可以帮助您学习统计建模、数据分析技术以及如何解释变量之间的关系。您可以掌握线性回归、Logistic Regression、理解残差以及评估模型性能的技能。许多课程都会介绍 R、Prediction 和 Excel 等工具，这些工具支持进行分析和数据 Visualization，让您可以将这些技能应用到实际工作中，如根据数据预测结果和做出明智的决策。
热门 Regression 课程和认证
Johns Hopkins University
您将获得的技能: 统计方法, 统计假设检验, 统计建模, 逻辑回归, 概率分布, Model Evaluation, 统计分析, 数据分析, 数据科学, 概率与统计, 预测建模, 回归分析, 统计推理, 模型评估
您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Statistical Methods, Correlation Analysis, Predictive Modeling, Supervised Learning, Predictive Analytics, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Python Programming
DeepLearning.AI
您将获得的技能: Python 编程, NumPy, 模型优化, 人工智能, 算法, 监督学习, 功能工程, Jupyter, 逻辑回归, Model Evaluation, 模型培训, 数据预处理, 机器学习算法, 机器学习, 应用机器学习, 预测建模, 模型评估, Scikit Learn（机器学习库）, 分类算法, 回归分析, Algorithm
Duke University
您将获得的技能: 统计编程, R（软件）, 统计方法, 相关性分析, 统计假设检验, 统计建模, 统计资料, 统计分析, Model Evaluation, 数据分析, R 程序设计, 统计软件, 预测建模, 模型评估, 统计推理, 数学建模, 回归分析, 概率与统计
您将获得的技能: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
多位教师
您将获得的技能: 数据伦理, NumPy, 监督学习, 深度学习, 机器学习方法, 人工智能, Jupyter, 决策树学习, 张力流, 无监督学习, Transfer Learning, Model Evaluation, 模型培训, 迁移学习, Scikit Learn（机器学习库）, 负责任的人工智能, 预测建模, 机器学习算法, 应用机器学习, 机器学习, 模型评估, 分类算法
是什么让您今天来到 Coursera？
Meta
您将获得的技能: 抽样（统计）, 贝叶斯统计, 统计方法, 统计建模, 描述性分析, 统计假设检验, 电子表格软件, 描述性统计, Tableau 软件, 数据建模, 统计资料, 营销分析, 分析, 数据分析, 统计分析, 统计推理, 回归分析, 时间序列分析和预测, 统计软件, 概率与统计
Illinois Tech
您将获得的技能: Statistical Inference, Regression Analysis, R Programming, Statistical Methods, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Data Science, Correlation Analysis, Data Analysis, Probability & Statistics, Linear Algebra
University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Mathematical Software, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
University of Colorado Boulder
您将获得的技能: Regression Analysis, Supervised Learning, Model Evaluation, Statistical Analysis, Model Training, Data Analysis, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Statistical Methods, Model Optimization
Corporate Finance Institute
您将获得的技能: Regression Analysis, Correlation Analysis, Advanced Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Statistical Programming, Data Analysis Software, Model Evaluation
University of Michigan
您将获得的技能: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Predictive Modeling, Probability & Statistics, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Epidemiology, Descriptive Statistics
总之，以下是 10 最受欢迎的 regression 课程
- 回归模型: Johns Hopkins University
- Regression Analysis: Simplify Complex Data Relationships: Google
- 有监督的机器学习：回归与分类: DeepLearning.AI
- 线性回归与建模: Duke University
- Predict and Validate Regression Models in R: Coursera
- 机器学习: DeepLearning.AI
- 统计基础: Meta
- Linear Regression: Illinois Tech
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- Regression Analysis: University of Colorado Boulder
