Data Science Interview Masterclass

What you'll learn
Learn frameworks to navigate data science interviews
Learn what differentiates good and excellent answers
Access to sample interview case
Learn what to expect in data science interviews
Requirements
Foundational technical knowledge is required — including basic understanding of statistics, machine learning concepts, SQL/Python, and common data workflows.
You should already be familiar with the technical topics typically asked in data science interviews.
This course does not teach technical skills; instead, it focuses on helping you apply your existing knowledge using strong frameworks, communication structures, and interview strategies.
Description
Most data science interviews aren't failed due to lack of knowledge — they're failed due to poor structure, weak storytelling, and nervous delivery under pressure.This course is designed to fix exactly that.Built by Prepfully, a platform that has helped 17,000+ candidates prepare for interviews at FAANG, big tech, and high-growth startups, this course is grounded in real interview data — not theory. Every framework, example, and question comes from thousands of mock interviews and direct feedback from hiring managers.You'll learn how to think clearly, structure your answers, and communicate impact — even when questions are ambiguous or high-stakes. The focus is not just on getting the answer right, but on delivering it in a way that interviewers remember.What you'll learnTransform from a nervous candidate into a confident storytellerMaster core interview frameworks for statistics, experimentation, ML, product sense, and behavioral roundsTurn average answers into compelling narratives that stand outSee real case studies showing the difference between rejected and hired answersPractice with 1000+ real FAANG and top-tech interview questionsGet instant AI feedback to improve fasterLearn advanced delivery techniques to sound confident, polished, and seniorWho built this courseThe course is taught by experienced data and ML leaders:Thomas Modern, Head of Data Science, who has coached 450+ candidatesGio Granato, Director of Data, ML & AI at Checkr (ex-Meta)Xuntao Hu, Lead Machine Learning Engineer (ex-Meta)Who this course is forAspiring and working Data ScientistsCandidates interviewing at FAANG, big tech, and top startupsProfessionals who know the concepts but struggle to perform in interviewsIf you're tired of "almost clearing" interviews and want to start answering like a top-tier Data Scientist, this course is built for you.
Aspiring or current Data Scientists, Data Analysts, Product Data Scientists, and ML/AI practitioners preparing for interviews.,Learners who already have the technical basics but want to improve their answer quality, storytelling, frameworks, and overall interview performance.,Professionals transitioning into data roles who understand the technical foundations but struggle with how to present and structure answers.,Anyone who wants clarity on the interview process — what interviewers look for, how to break down problems, and how to think out loud effectively.
Homepage

https://www.udemy.com/course/data-science-interview-masterclass/

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