Data Analytics Capstone: Crafting a Portfolio Case Study

Transitioning from learning individual data tools to applying them in a cohesive real-world project can be a daunting challenge. This text-based course guides you step-by-step through a comprehensive data analytics case study, helping you bridge the gap between theory and professional practice. You will learn how to define business questions, gather and clean data, perform exploratory analysis, and present your findings clearly. By the end of this course, you will have a completed case study that showcases your analytical mindset and technical capabilities. What you'll learn: Define clear business questions and establish measurable project goals; Clean and transform raw datasets using modern SQL and dataframe practices; Analyze data patterns to uncover actionable business insights; Format and structure your findings into a professional, written case study; Apply structured analytical frameworks to solve real-world industry problems. The course starts with foundational concepts of case study design and structured problem-solving. You will then progress through the entire data lifecycle—from data acquisition and cleaning to final analysis and narrative synthesis—all delivered through clear, written explanations and practical code examples. This course is designed for beginner data analysts who have basic knowledge of database queries or spreadsheets and want to build their first portfolio project. Start structuring your professional data portfolio today.