Statistics with Python: Mean, Median, and Data Fundamentals

Understanding core statistical metrics is the first step toward effective data analysis. This text-based course guides you through calculating and interpreting measures of central tendency such as the mean, median, and mode using Python. You will build a strong conceptual foundation before writing code, learning not just how to compute values but also when to use each metric to describe real-world datasets accurately. What you'll learn: - Understand fundamental statistical concepts and core terminology for data analysis - Calculate mean, median, and mode using Python standard libraries, NumPy, and pandas - Identify the impact of outliers and skewed distributions on statistical summaries - Apply robust data cleaning patterns to handle missing and irregular values before analysis - Select the appropriate measure of central tendency for different data types and scenarios - Practice data manipulation techniques using clean, modern Python coding standards The course begins with foundational definitions and statistical theory before moving into practical code walkthroughs and structured exercises. Designed specifically for beginners, no prior experience with statistics or advanced programming is required. Start reading today to build your analytical foundation with Python.