Data Analysis Case Study: Comparing Action and Romance Movie Ratings

Have you ever wondered if high-octane action movies or heartfelt romance films perform better with audiences? Answering this question scientifically requires more than just a guess—it requires data. In this written course, you will step into the shoes of a data analyst to clean, explore, and compare movie rating datasets. You will learn how to transition from raw numbers to clear, data-driven insights using modern data analysis techniques and statistical concepts. What you'll learn: - Understand foundational data analysis concepts and core terminology before working with datasets. - Clean and filter movie datasets to isolate action and romance genres. - Calculate key descriptive statistics such as means, medians, and variances for different groups. - Apply basic hypothesis testing to determine if rating differences are statistically significant. - Interpret data patterns and summarize your findings in a structured analytical report. You will start by learning the essential concepts of exploratory data analysis and statistical significance. From there, you will read through step-by-step code implementations and explanations that guide you from raw data preparation to a final, logical conclusion. This text-only course is designed for absolute beginners who want a practical introduction to data analysis, with no prior programming or statistical experience required. Dive into the numbers and uncover the truth behind movie ratings today.