Learn Statistics With Python

this course is pro only

Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.

Start

Why Learn Statistics?

Statistics is a tool used to communicate our understanding of data. It helps us understand the world better, make assertions, and communicate our confidence in the statements we are making.

Take-Away Skills

This course focuses on a number of different descriptive statistics including the mean, median, mode, standard deviation, and variance of different datasets. Not only will you learn how to calculate these statistics, but you will learn how to interpret them. By getting an understanding of what these statistics represent, you will be able to better describe your own datasets.

Codecademy courses have been taken by employees at

Google LogoFacebook LogoNASA LogoIBM LogoDropbox Logo

What you'll learn

  1. 1
    Learn to use Python packages or manually calculate the mean, median, and mode of real-world datasets.
  2. 2
    In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation.
  3. 3
    In this lesson, learn how to visualize and interpret a dataset using a histogram.
  4. 4
    Learn how to describe a statistical distribution by considering its center, shape, spread, and outliers.
  5. 5
    In this course, you will learn how to calculate three important descriptive statistics that describe the spread of the data.

What you'll create

Portfolio projects that showcase your new skills

Pro Logo

How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

Pro Logo
Madelyn from Pinterest
I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.
— Madelyn, Pinterest