Data Interview Prep: Python, SQL, and Core Probability Problems

Are you struggling to find structured practice problems to prepare for technical interviews in data analysis or data science? This course delivers a comprehensive set of focused practice problems covering the three pillars of entry-level data interviews: Python programming, advanced SQL querying, and fundamental probability theory. By working through these scenarios, you will build the practical skills and confidence necessary to articulate your solutions clearly and effectively during screening. What you'll learn: * Master fundamental Python syntax and data structures by solving realistic coding challenges. * Apply advanced SQL techniques, including Common Table Expressions (CTEs) and window functions, to extract and manipulate data efficiently. * Understand core concepts of probability and statistical reasoning required to answer theoretical interview questions. * Practice tackling complex, multi-step data problems that combine programming logic and database querying. * Learn how to structure and explain your technical solutions clearly, simulating the interview environment. The course begins with foundational concepts in each domain before progressing to targeted interview-style problems. You will read detailed explanations and step-by-step solutions for every scenario, enabling deep understanding of the underlying logic. This course is designed for absolute beginners and those with minimal experience who are preparing for their first technical interview for a Data Analyst, Business Intelligence, or Junior Data Scientist role. No prior professional experience is required. Start building your interview readiness today.