Ace the Product Analytics Job Interview

Learn the fundamentals and strategies for interviewing for a data science job.

Intermediate

35 Lessons

Certificate of Completion

Learn the fundamentals and strategies for interviewing for a data science job.

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

Course Overview

Product analytics interviews evaluate your skills and creativity as an aspiring data analyst. Interview questions evaluate if you can use your technical knowledge to guide further development of a product. Learning how to answer these questions is crucial to ace most job interviews for data scientists and analysts. In this course, you’ll first gain an overview of what product analytics interviews look like and what kinds of questions usually come up. Next, you’ll learn to use a framework for answering prod...Show More

TAKEAWAY SKILLS

Data Science

What You'll Learn

An understanding of the main types of product analytics interview questions

The ability to incorporate a general framework to tackle product analytics questions

The ability to give well-structured answers that showcase your analytical skills

Familiarity with sample product analytics interview questions and expected solutions

What You'll Learn

An understanding of the main types of product analytics interview questions

Course Content

Introduction

Who Should Take This Course?

Why Are Product Interviews Important?

The Most Important Thing You Can Do to Prepare

Types of Product Interview Questions A General Framework for Tackling Product Questions

Investigating Metrics

Introduction to Investigating Metrics Questions Recommended Framework Clarification and Gathering Context Hypothesizing (Segmentation)Evaluation and Validation Sample Question: Decreasing Comments

Fractional Metrics

Introduction to Fractional Metrics Questions Declining Applicants Example Sample Question: Post Composer Drop

Measuring Success

Introduction to Measuring Success Questions Strategy and Framework Clarification Understand the Product and Set Goals Define Success Metrics Prioritize Metrics and Test Hypothesis Sample Question: Fractional Shares Sample Question: Group Success

Feature Change

Introduction to Feature Change Questions Strategy and Framework Understand Feature Change Analyze the Data Sample Question: Changing Composer Sample Question: Netflix Retention

Metric Trade-Offs

4 Lessons

Growth

2 Lessons

Conclusion

1 Lesson

Course Author

Show License and Attributions

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Emma Bostian 🐞

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Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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