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: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning
初级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring
中级 · 课程 · 1-4 周

您将获得的技能: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
初级 · 课程 · 1-4 周

您将获得的技能: Data-Driven Decision-Making, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Case Studies, Business Analytics, Minitab, Data Analysis, Statistical Analysis, Probability & Statistics, Microsoft Excel, Correlation Analysis, Quantitative Research, Exploratory Data Analysis
初级 · 课程 · 1-4 周
您将获得的技能: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines
高级设置 · 课程 · 1-4 周

ESSEC Business School
您将获得的技能: 统计分析, 商业分析, 数据分析, 战略思考, 信息技术, 商业, 统计方法, 商业智能, 数据可视化, R 程序设计, 交流, 回归分析, 预测分析, 预测, 数据展示
混合 · 课程 · 1-3 个月

您将获得的技能: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science
中级 · 课程 · 1-4 周

您将获得的技能: Logistic Regression, SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Model Evaluation
中级 · 课程 · 1-3 个月

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
初级 · 专项课程 · 3-6 个月

您将获得的技能: 机器学习, 卷积神经网络, 生成模型架构, 自然语言处理, 回归分析, 分类与回归树 (CART), Keras(神经网络库), 递归神经网络 (RNN), 模型评估, 深度学习, 人工神经网络, 网络架构, Model Evaluation, 迁移学习, Transfer Learning, 图像分析
中级 · 课程 · 1-3 个月

您将获得的技能: Data Visualization, Data Presentation, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Data Science, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management
高级设置 · 课程 · 1-4 周

您将获得的技能: Data Storytelling, Strategic Prioritization, Web Analytics, Product Roadmaps, Business Analytics, Analytics, Product Management, Data-Driven Decision-Making, Predictive Modeling, Prioritization, Customer Analysis, Root Cause Analysis, Performance Analysis, Forecasting, User Flows, Performance Metric, Customer Retention, Data Capture, Resource Allocation, Statistical Methods
中级 · 课程 · 3-6 个月