Introductory Statistics for Data Analysis: Survey and Satisfaction Estimation

Making business decisions based on raw survey numbers without understanding statistical significance can lead to costly mistakes. Developing a strong data analysis sense allows you to look past surface-level percentages and uncover the true sentiment of your target audience. This text-only course guides you from statistical basics to confidently interpreting sample data, helping you estimate overall satisfaction from limited survey responses. You will start with key terminology and foundational concepts before moving on to practical estimation techniques. What you'll learn: • Understand foundational statistical concepts including populations, samples, mean, median, and variance • Estimate overall customer satisfaction and confidence intervals from sample survey responses • Identify and mitigate common survey biases to ensure data integrity • Apply basic hypothesis testing to validate your business assumptions • Practice interpreting data distributions to make informed, data-driven decisions. The curriculum flows logically from core definitions to practical written scenarios, allowing you to build your analytical skills step-by-step. This course is designed for absolute beginners, business professionals, and aspiring analysts with no prior background in mathematics or statistics. Start building your data analysis intuition and make your survey data work for you today.