One Stop Shop For Your Data Science Product Case Interview

Strategies for Case Interview Prep

What you'll learn

Gain insight into what interviewers seek during data science product interviews, including key skills, thought processes, and problem-solving approaches.

Learn strategies and best practices to excel during interviews, from structuring your answers to demonstrating strong analytical and communication skills.

Identify the essential data science tools and frameworks you need to be familiar with and understand how to effectively leverage them in interview scenarios.

Learn how to study core concepts, practice how to drive the interview, and deliver structured and well-rounded answers.

Requirements

Foundational knowledge and hands-on practice with essential data science tools.

A keen interest in improving your interview skills, with a specific focus on excelling in product case interviews.

Description

Have you ever wondered how to prepare for a data science case interview?There are some resources online that try to teach data science case interviews, but they all have their flaws. Some apply principles from consulting or product management interviews, which don’t work because data science requires a different skill set. Others offer pointers or guidelines that, while somewhat helpful, can be difficult to apply systematically. For example, I personally dislike trying to memorize types of questions and frameworks.I’ve been there! I used to struggle with case interviews, and my first one (with Microsoft, no less) was so bad I wanted to disappear. But through relentless practice and learning, I developed a model for tackling any type of case interview. With this model, I excelled at my interviews, enabling me to negotiate a higher-level offer. The result? My total compensation increased by $100K from the original offer, effectively doubling my current income.This guide is based on my personal notes from preparing for interviews, which have helped me secure amazing offers. I’ve mentored others with these methods, and my guide has helped them land offers as well. This success inspired me to create this guide for a wider audience. I’m confident that my prep guide is more effective than others available on the market. This is a MVP and a more advanced version will come soon after I collect more feedback!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What does the case interview aim to test?

Lecture 3 What should you expect during your data science case interview?

Lecture 4 What kind of questions are asked?

Lecture 5 What do you need to do to succeed in the interview?

Lecture 6 What do you need to do to prepare?

Section 2: Applying Each Step: A Practical Example

Lecture 7 A Practical Example

Lecture 8 Ask Clarification Questions

Lecture 9 Form Business Sense

Lecture 10 Identify Data Science Strategy 1: Exploratory Analysis

Lecture 11 Identify Data Science Strategy 2: Exploratory Analysis (Trend Analysis)

Lecture 12 Identify Data Science Strategy 3: Other Exploratory Analysis

Lecture 13 Identify Data Science Strategy 4: Advanced Tools

Lecture 14 Identify Data Science Strategy 5: Advanced Tools Continues

Lecture 15 Extra: Machine Learning Content (Regression)

Lecture 16 Extra: Machine Learning Content (Classification)

Lecture 17 Extra: Machine Learning Content (Clustering)

Lecture 18 Analyze Potential Outcomes

Lecture 19 Extra: Bad Results from Machine Learning and Next Steps

Lecture 20 Summarize and Provide Recommendation

Section 3: Tips that I Wish I Knew in the Beginning

Lecture 21 Tips

Students or early-career professionals preparing for data science product case interviews