筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索定量方法课程目录
状态：免费试用University of Colorado Boulder
您将获得的技能: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis
状态：免费试用IBM
您将获得的技能: 利益相关者的参与, 业务要求, 用户反馈, 预测建模, 数据清理, 数据分析, 数据建模, 数据科学, 决策树学习, 同行评审, 数据收集, 商业分析, Jupyter, 数据处理, 软件开发方法, 数据转换, 功能工程, 数据挖掘, 数据质量
状态：新状态：免费试用您将获得的技能: Quality Management, Culture Transformation, Quality Improvement, Continuous Improvement Process, Operational Excellence, Quality Assurance, Process Improvement, Cost Management, Customer experience strategy (CX), Benchmarking, Team Oriented, Employee Engagement
状态：预览Politecnico di Milano
您将获得的技能: Socioeconomics, Epidemiology, Crisis Management, Social Determinants Of Health, Health Technology, Health Policy, Social Sciences, Infectious Diseases, Public Health, Network Analysis, Mental Health, Health Informatics, Health Care, Surveys, Data-Driven Decision-Making, Data Science, Artificial Intelligence
状态：免费试用您将获得的技能: Media Planning, Spreadsheet Software, A/B Testing, Return On Investment, Marketing Analytics, Key Performance Indicators (KPIs), Google Analytics, Pivot Tables And Charts, Performance Measurement, Digital Marketing, Data Presentation, Data Visualization, Google Ads, Marketing Budgets, Marketing, Web Analytics and SEO, Data Analysis, Stakeholder Communications
Coursera Project Network
您将获得的技能: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistics, Data Manipulation, Data Analysis Software, Statistical Analysis, Data Import/Export
状态：预览The State University of New York
您将获得的技能: 统计建模, 时间序列分析和预测, 数据分析, 预测建模, 预测, 统计推理, R 语言程序设计（中文版）, 数学建模, 统计分析, 概率与统计, 数据可视化, 描述性统计, 软件安装, 相关性分析
总之，以下是 7 最受欢迎的 quantitative methods 课程
- Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
- 数据科学方法论: IBM
- Mastering Total Quality Management: Analyze, Apply & Improve: EDUCBA
- Tools and Practices for Addressing Pandemic Challenges: Politecnico di Milano
- Assess for Success: Marketing Analytics and Measurement: Google
- Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
- 实用时间序列分析: The State University of New York
