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。
Rice University
您将获得的技能: 描述性统计, 统计, 统计推理, 回归分析, 微软Excel, 电子表格软件, 制图, 数据展示, 统计分析, Excel 公式, 统计假设检验, 样本量的确定, 透视表和图表, 数据分析, 概率与统计, 概率分布, Model Evaluation, 商业分析, 统计方法, 统计建模
初级 · 专项课程 · 3-6 个月

您将获得的技能: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
混合 · 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 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

Howard University
您将获得的技能: Regression Analysis, Predictive Modeling, Statistical Modeling, Applied Mathematics, Machine Learning Methods, Linear Algebra, Model Evaluation, Statistical Analysis, Data Manipulation
初级 · 课程 · 1-4 周

IBM
您将获得的技能: 深度学习, 分类算法, 回归分析, 数据预处理, 人工神经网络, 逻辑回归, 张力流, 预测建模, Model Evaluation, Machine Learning 方法, PyTorch(机器学习库), 概率与统计
中级 · 课程 · 1-3 个月

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: 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

Sungkyunkwan University
您将获得的技能: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
中级 · 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

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 California, Irvine
您将获得的技能: 机器学习, 无监督学习, 数据建模, 回归分析, 统计分析, 决策树学习, 预测, 分类算法, 描述性分析, 预测分析, Model Evaluation, 预测建模, 逻辑回归, 数据分析, 监督学习
中级 · 课程 · 1-4 周