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。

您将获得的技能: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
混合 · 课程 · 1-4 周

您将获得的技能: Logistic Regression, Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Model Evaluation, Statistical Analysis, Data Analysis, Model Deployment, Statistical Methods
中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 统计推理, 回归分析, 公共卫生, 流行病学, 统计分析, 风险分析, 逻辑回归, 统计建模, 统计方法, 生物统计学, 定量研究, 概率与统计
初级 · 课程 · 1-3 个月

您将获得的技能: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
混合 · 课程 · 1-4 周

University of Colorado System
您将获得的技能: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Advanced Analytics, Strategic Marketing, Market Analysis, Marketing Effectiveness, Predictive Analytics, Marketing Strategies, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, A/B Testing, Variance Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
混合 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
初级 · 课程 · 1-4 周

您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 统计推理, 统计分析, 回归分析, 公共卫生, Model Evaluation, 逻辑回归, 统计建模, 高级分析, 概率与统计, 预测建模, 统计方法, 生物统计学
初级 · 课程 · 1-4 周

Imperial College London
您将获得的技能: 描述性统计, 统计, 回归分析, 数据预处理, 公共卫生, 统计分析, 逻辑回归, 统计建模, Model Evaluation, R 语言程序设计(中文版), 概率与统计, 探索性数据分析, 预测建模
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 机器学习, 无监督学习, 回归分析, 监督学习, 决策树学习, 分类算法, Python 程序设计, 预测建模, 逻辑回归, 应用机器学习, 功能工程, Model Evaluation, 降维, Scikit-learn (机器学习库)
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 机器学习, 无监督学习, 统计分析, 回归分析, 监督学习, 分类算法, 统计机器学习, 数据科学, R 语言程序设计(中文版), 统计建模, 机器学习算法, 统计方法, 预测建模, Model Evaluation
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中级 · 课程 · 1-3 个月