Understanding your data starts with knowing its central tendencies. In this blog, we explore Mean, Median, and Mode — what they are, how to interpret them, and why they are essential for making informed business decisions. Whether your data is skewed, normally distributed, or full of outliers, these measures help you uncover the story behind the numbers.

Explore the vital role of various types of data analysis in addressing drug-resistant tuberculosis in Southern Africa. This blog breaks down descriptive, diagnostic, predictive, prescriptive, and exploratory analyses through a real-world healthcare study, illustrating how data drives insights and solutions for complex public health challenges.

Learn why asking the right questions is the foundation of effective data analysis. Explore real-world case studies where wrong questions led to costly mistakes.