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Ace the Product Analytics Job Interview

The ultimate guide to product analytics interviews. Strategies developed by FAANG engineers to craft structured, impactful answers and increase your chances of landing a data science job.

Intermediate

35 Lessons

Certificate of Completion

The ultimate guide to product analytics interviews. Strategies developed by FAANG engineers to craft structured, impactful answers and increase your chances of landing a data science job.

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Mock Interview

Explanations

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Mock Interview

Explanations

Course Overview

What You'll Learn

Course Content

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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 the 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 ...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

An understanding of the main types of product analytics interview questions

Course Content

Introduction

5 Lessons

Get familiar with essential skills for acing product analytics job interviews in tech.

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

6 Lessons

Grasp the fundamentals of analyzing metrics to address and evaluate performance changes effectively.

Introduction to Investigating Metrics Questions

Recommended Framework

Clarification and Gathering Context

Hypothesizing (Segmentation)

Evaluation and Validation

Sample Question: Decreasing Comments

Fractional Metrics

3 Lessons

Examine strategies for analyzing fractional metrics through clarifying, contextualizing, and hypothesizing data.

Introduction to Fractional Metrics Questions

Declining Applicants Example

Sample Question: Post Composer Drop

Measuring Success

8 Lessons

Break down complex ideas to measure product success with clear goals and metrics.

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

6 Lessons

Dig deeper into evaluating and implementing feature changes using data analysis and testing.

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

Tackle metric trade-off questions with strategic analysis and hypothesis-driven approaches for effective prioritization.

Introduction to Metric Trade-off Questions

Strategy and Framework

Sample Question: Threaded Comments

Sample Question: WAU vs. Open Rates

Growth

2 Lessons

Build on using data-driven strategies to enhance user engagement and scalability.

Introduction to Growth Marketing

Sample Question: Promoting Instagram

Conclusion

1 Lessons

Get familiar with resources and practice for excelling in product analytics interviews.

What's Next for You?

Course Author

Jay Feng

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Front-end Developer

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Software Developer

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