# DataInterview > Ace Data Scientist, Data Engineer, ML/AI Engineer, and Quant interviews. Practice 800+ coding problems, 4,000+ interview questions, and premium courses. ## About DataInterview (https://www.datainterview.com) is an interview preparation platform for Data Scientist, Data Engineer, ML/AI Engineer, and Quant roles. It offers 800+ coding problems, 4,000+ interview questions, learning courses, 1:1 coaching, and a question bank used by candidates targeting companies like Google, Meta, Amazon, Apple, and more. ## Courses DataInterview offers structured learning courses covering key interview topics: - [AB Testing](https://www.datainterview.com/courses/ab-testing): Covers experiment design, hypothesis testing, validity threats, statistical inference, and practice cases. 82 lessons. - [Applied Statistics](https://www.datainterview.com/courses/applied-statistics): Core statistics concepts for data science interviews. - [Causal Inference](https://www.datainterview.com/courses/causal-inference): Causal reasoning, observational studies, and quasi-experimental methods. - [Case in Point](https://www.datainterview.com/courses/case-in-point): Case study interview preparation. - [Cloud Data Warehousing](https://www.datainterview.com/courses/cloud-data-warehousing): Deep-dive into Snowflake, BigQuery, Redshift, and Databricks. Covers warehouse internals, cost optimization, and cloud DW design problems. - [Data Engineering System Design](https://www.datainterview.com/courses/data-engineering-system-design): Design data warehouses, streaming pipelines, and ETL systems. Covers the 14 most-asked DE design problems at Airbnb, Uber, Netflix, and top data-driven companies. - [Data Modeling](https://www.datainterview.com/courses/data-modeling): Master schema design, normalization trade-offs, and real-world data modeling patterns. - [Data Science Coding](https://www.datainterview.com/courses/data-science-coding): Python and pandas coding for data science interviews. - [Estimation for Trading Interviews](https://www.datainterview.com/courses/estimation-trading-interviews): Master Fermi estimation and mental math for Jane Street, Optiver, IMC, and top trading firms. - [Financial Mathematics](https://www.datainterview.com/courses/financial-mathematics): Master stochastic calculus, Black-Scholes, and derivatives pricing for quant interviews. - [Machine Learning](https://www.datainterview.com/courses/machine-learning): ML fundamentals, algorithms, and interview patterns. - [ML System Design](https://www.datainterview.com/courses/machine-learning-system-design): End-to-end ML system design for interviews. - [Mock Interview Recordings](https://www.datainterview.com/courses/mock-interview-recordings): Real mock interview examples with feedback. - [Probability for Quant Interviews](https://www.datainterview.com/courses/probability-quant-interviews): Master the probability puzzles asked at Jane Street, Citadel, Two Sigma, and top quant firms. - [Product Sense](https://www.datainterview.com/courses/product-sense): Product metrics, experimentation, and business case interviews. - [SQL](https://www.datainterview.com/courses/sql): SQL interview preparation with real-world query problems. - [System Design](https://www.datainterview.com/courses/system-design): Go from blank whiteboard to complete architecture in 45 minutes. Covers the 14 most-asked design problems at Google, Meta, Amazon, and top tech companies. - [Trading Systems Design](https://www.datainterview.com/courses/trading-systems-design): Design matching engines, market making systems, and low-latency trading infrastructure for quant interviews. ## Projects Hands-on data science projects inspired by real companies. Build end-to-end ML solutions from business problem to deployment. - [Google Flights Airfare Forecast](https://www.datainterview.com/projects/google-flights-airfare-forecast/business-problem): Build an end-to-end airfare prediction model inspired by Google Flights' price forecasting feature. 9 lessons. - [PayPal Fraud Detection](https://www.datainterview.com/projects/paypal-fraud-detection/business-problem): Design and implement a fraud detection pipeline modeled after PayPal's transaction monitoring system. 9 lessons. - [DoorDash Fraud Detection](https://www.datainterview.com/projects/doordash-fraud-detection/business-problem): Tackle fraud detection for a food delivery platform using real-world DoorDash-inspired scenarios. 8 lessons. - [AWS Realtime News Sentiment](https://www.datainterview.com/projects/aws-realtime-news-sentiment/business-problem): Build a real-time news sentiment analysis pipeline using AWS services and NLP techniques. 10 lessons. - [Facebook Storefront Causal Analysis](https://www.datainterview.com/projects/facebook-storefront/facebook-storefront): Apply causal inference methods to analyze the impact of Facebook's storefront feature on user engagement. 2 lessons. ## Coding Practice - [Coding Challenges](https://www.datainterview.com/coding): 800+ coding problems in Python, SQL, and more. Filterable by company, role, and topic. - [Question Bank](https://www.datainterview.com/questions): 4,000+ behavioral, product sense, ML, system design, and technical interview questions from real interviews. ## Coaching - [1:1 Coaching](https://www.datainterview.com/coaching): Personalized mock interviews and career coaching with instructors from Google, Meta, Amazon, and other top companies. Available for data science, ML engineering, AI engineering, and quant roles. ## Bootcamps - [Data Scientist MasterClass](https://www.datainterview.com/bootcamp/ds): Live class bootcamp for data scientist interview preparation. - [MLE MasterClass](https://www.datainterview.com/bootcamp/mle): Live class bootcamp for machine learning engineer interview preparation. ## Target Roles DataInterview covers preparation for the following roles: - Data Scientist - Machine Learning Engineer - AI Engineer - AI Researcher - Data Analyst - Data Engineer - Quantitative Researcher ## Blog - [Blog](https://www.datainterview.com/blog): Articles on interview tips, career advice, and technical deep dives for data and AI professionals. ## Pricing - [Pricing](https://www.datainterview.com/pricing): Free tier with limited access. Premium subscription for full course access, coding challenges, and question bank. ## Links - Website: https://www.datainterview.com - Courses: https://www.datainterview.com/courses - Projects: https://www.datainterview.com/projects - Coding: https://www.datainterview.com/coding - Coaching: https://www.datainterview.com/coaching - Blog: https://www.datainterview.com/blog - Pricing: https://www.datainterview.com/pricing