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.

Skills you'll gain

• Calculate and interpret descriptive statistics
• Understand mean, median, and mode
• Analyze datasets using standard deviation and variance
• Communicate data insights effectively

Syllabus

• Mean, Median, and Mode: Learn to use Python packages or manually calculate the mean, median, and mode of real-world datasets.
• 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.
• Histograms: In this lesson, learn how to visualize and interpret a dataset using a histogram.
• Describe a Histogram: Learn how to describe a statistical distribution by considering its center, shape, spread, and outliers.
• 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.
• Boxplots: Learn how to create and interpret boxplots using a variety of different datasets