
Explore how to handle outliers in descriptive statistics by deciding when to remove them, investigating data collection, and recognizing robust measures like the mode and median.
Standardization rescales data by converting a value into the number of standard deviations from the mean, yielding a standardized value. This enables cross-dataset and unit-free comparisons.
Learn how descriptive statistics summarize data with mean, median, mode, range, variance, standard deviation, interquartile range, and coefficient of variation, and assess distribution shape and outliers.
[This course contains the use of artificial intelligence.] - Voiceover
Understanding data is the first step to making informed decisions, and descriptive statistics provides the essential tools to summarize and interpret data effectively. This course, Foundations of Statistics – Descriptive Statistics, is designed for beginners, students, and professionals who want to gain a solid foundation in statistical analysis. Through step-by-step lessons, you will learn how to organize and summarize data, calculate key statistical measures, identify patterns, and detect anomalies.
You will start by learning how to count data points and create summaries that reveal trends and structures in datasets. Next, you’ll explore measures of central tendency, such as mean, median, and mode, to understand the “typical” values in your data. You’ll also learn about relative location measures, including percentiles and quartiles, which allow you to compare individual data points within a dataset.
The course covers measures of spread—range, variance, and standard deviation—to help you understand variability, as well as techniques for identifying and interpreting outliers that could skew results. You will also learn how to standardize data, enabling meaningful comparisons across different datasets.
By the end of this course, you will be able to create clear, comprehensive summaries of your data and confidently interpret the results. Whether you are preparing for advanced statistics, conducting research, or analyzing business data, these skills will provide a practical, reliable foundation for all your data analysis tasks.