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

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 product analytics questions, showcasing your analytical skills. Finally, you’ll learn how to apply said framework to different kinds of product analytics interview questions by looking at several examples.

With this course, you’ll increase your chances of landing a job in data science by learning how to effectively answer product analytics interview questions. You’ll be able to provide well-structured and well-communicated answers, and show you can creatively tackle any business problem you may face.

Ace the Product Analytics Job Interview

## Metric trade-off questions

Metric trade-off type questions can occur on their own in product interviews or as part of a larger product or AB testing interview discussion.

Examples of questions like this usually take the form of:

# Metric trade-off questions

Metric trade-off type questions can occur on their own in product interviews or as part of a larger product or AB testing interview discussion.

Examples of questions like this usually take the form of:

Get an overview of metric trade-off questions.

Introduction

Investigating Metrics

Fractional Metrics

Measuring Success

Feature Change

Metric Trade-Offs

Growth

Conclusion

Introduction to Metric Trade-off Questions

Metric trade-off questions