Learn Statistics with Python

Statistics is a powerful tool for analyzing and interpreting data. This course covers key descriptive statistics, including mean, median, mode, standard deviation, and variance. You'll learn how to calculate these metrics and interpret their significance, enabling you to describe and analyze datasets effectively.

Syllabus

Mean, Median, and Mode: Learn to use Python packages or manually calculate the mean, median, and mode of real-world datasets.

Lesson: Mean
Lesson: Median
Lesson: Mode
Project: Central Tendency for Housing Data
Quiz: Mean, Median, and Mode

Variance and Standard Deviation: In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation.

Lesson: Variance
Lesson: Standard Deviation
Quiz: Variance and Standard Deviation
Project: Variance in Weather

Histograms: In this lesson, learn how to visualize and interpret a dataset using a histogram.

Lesson: Histograms
Project: Traveling to Acadia
Quiz: Histograms

Describe a Histogram: Learn how to describe a statistical distribution by considering its center, shape, spread, and outliers.

Lesson: Describe a Histogram
Project: Describe Exam Grade Distributions
Quiz: Describe a Histogram

Quartiles, Quantiles, and Interquartile Range: In this course, you will learn how to calculate three important descriptive statistics that describe the spread of the data.

Lesson: Quartiles
Lesson: Quantiles
Lesson: Interquartile Range
Quiz: Quantiles, Quartiles, and IQR
Project: Life Expectancy By Country