Master the analytical foundation that transforms data into product decisions. This Short Course equips product analysts with the systematic approach to hypothesis-driven investigation and the expertise to select optimal classification models for real-world scenarios. You'll learn to recall and apply the six-step hypothesis-driven analysis framework that guides investigations from question to conclusion, and evaluate critical trade-offs between decision trees and logistic regression based on interpretability, data characteristics, and preprocessing requirements. By completing this course, you'll confidently navigate model selection decisions, justify analytical approaches to stakeholders, and build reliable frameworks for product analytics that drive meaningful business outcomes.
Unlock Product Insights: Analyze and Evaluate
您将学到什么
Hypothesis-driven frameworks add rigor, turning ad-hoc analysis into reliable, repeatable investigations stakeholders can trust.
Model selection balances interpretability, data traits, and preprocessing needs instead of relying on familiar algorithms.
Product analytics blends structured inquiry with evidence-based model choices to deliver insights that drive decisions.
Clear communication of analytical logic and model trade-offs is as vital as technical skill for product analytics success.
您将获得的技能
- Scientific Methods
- Decision Making
- Research
- Analytical Skills
- Quantitative Research
- Logistic Regression
- Decision Tree Learning
- Product Knowledge
- Model Evaluation
- Business Analytics
- Data Preprocessing
- Investigation
- Classification Algorithms
- Analysis
- Statistical Modeling
- Predictive Modeling
- Data Analysis
- 技能部分已折叠。显示 10 项技能，共 17 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
- 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
Learners will master the systematic six-step framework that transforms ad-hoc product investigations into rigorous, reproducible analyses that stakeholders can trust and validate.
涵盖的内容
2个视频2篇阅读材料1个作业
Learners will master the critical evaluation skills needed to select optimal classification models for product analytics scenarios by systematically comparing decision trees and logistic regression based on interpretability, data characteristics, and preprocessing requirements.
涵盖的内容
2个视频2篇阅读材料3个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师
提供方
从 Leadership and Management 浏览更多内容
状态：免费试用
状态：免费试用
状态：免费试用
状态：免费试用
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
Jennifer J.
Larry W.
Chaitanya A.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，
¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。