线性回归课程
Linear Regression 课程可以帮助您学习如何分析变量之间的关系、解释系数和评估模型性能。您可以培养数据可视化、假设检验和根据数据趋势进行预测的技能。许多课程介绍了 Python、R 和 Excel 等工具，这些工具支持实施回归模型和有效分析数据集。
热门线性回归课程和认证
状态：免费试用您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming
状态：免费试用Imperial College London
您将获得的技能: 描述性统计, 探索性数据分析, 回归分析, 概率与统计, 统计分析, 数据分析, 数据导入/导出, R（软件）, 统计方法, 生物统计学, R 语言程序设计（中文版）, 相关性分析, 统计建模
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: 统计推理, 定量研究, 统计分析, 回归分析, 概率与统计, 流行病学, 数据分析, 统计方法, 公共卫生, 生物统计学, 统计建模
状态：免费试用University of Washington
您将获得的技能: 机器学习, 回归分析, Python 程序设计, Algorithm, 预测建模, 数据操作, 应用机器学习, 统计方法, 预测分析, 功能工程, 统计建模, 监督学习
状态：免费试用CertNexus
您将获得的技能: 机器学习, 回归分析, Algorithm, 预测建模, 机器学习算法, 线性代数, 降维, 无监督学习, 应用机器学习, 功能工程, 性能调整, 监督学习, 分类与回归树 (CART), 统计建模
状态：新状态：免费试用您将获得的技能: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing
状态：新状态：预览您将获得的技能: Data Presentation, Regression Analysis, Predictive Modeling, Financial Forecasting, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Statistical Analysis, Analytics, Scatter Plots, Credit Risk, Microsoft Excel
状态：新状态：预览您将获得的技能: Predictive Modeling, Predictive Analytics, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Cleansing, Data Transformation, Statistical Analysis, Pandas (Python Package), NumPy
状态：免费试用Meta
您将获得的技能: 描述性统计, 统计, 统计分析, 贝叶斯统计, Tableau 软件, 数据建模, 统计推理, 回归分析, 概率与统计, 数据分析, 时间序列分析和预测, 分析, 统计假设检验, 统计方法, 抽样（统计）, 营销分析, 电子表格软件, 统计建模
状态：新状态：预览您将获得的技能: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Validation, Data Transformation, Pandas (Python Package), Matplotlib
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram
与 linear regression 相关的搜索
总之，以下是 10 最受欢迎的 linear regression 课程
- Regression Analysis: Simplify Complex Data Relationships: Google
- 公共卫生领域的 R 线性回归: Imperial College London
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- 公共卫生中的简单回归分析: Johns Hopkins University
- 机器学习回归: University of Washington
- 建立回归、分类和聚类模型: CertNexus
- Linear Regression with R: Build & Optimize: EDUCBA
- Linear Regression & Predictive Modeling with SPSS: EDUCBA
- Predictive Modeling with Python: Apply & Evaluate: EDUCBA
- 统计基础: Meta
