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Launch Effective A/B Tests

本课程是 Statistical Inference & Predictive Modeling Foundations 专项课程的一部分

位教师：Hurix Digital

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Experimental Rigor Drives Value:Statistically valid A/B tests deliver reliable insights that support major business investments and strategic changes
Significance vs Impact: Statistical significance alone doesn’t guarantee business impact; both are needed for rollout decisions.
Systematic Experimentation Culture: Organizations using structured A/B testing outperform those driven by intuition or anecdotes.
Risk-Balanced Decisions: Good experimentation balances statistical confidence with business urgency, cost, and competition.

您将获得的技能

要了解的详细信息

可分享的证书

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了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Statistical Inference & Predictive Modeling Foundations 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

Ready to turn your business hunches into data-driven breakthroughs? This Short Course was created to help data analysts accomplish statistically sound A/B testing that drives measurable business impact. By completing this course, you'll be able to design experiments that generate reliable insights, implement tracking systems that capture meaningful metrics, and make rollout decisions that balance statistical rigor with business judgment.

By the end of this course, you will be able to: Design and launch online A/B tests with proper tracking and statistical methodology Calculate performance uplift with 95% confidence and evaluate practical significance Make informed rollout decisions based on both statistical and business criteria This course is unique because it bridges the gap between experimental theory and real-world business application, focusing on actionable skills that immediately impact your organization's decision-making process. To be successful in this course, you should have a background in basic statistics and data analysis tools.