Learn Statistics with Python
StartWhy 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.
What you'll learn
- 1Learn to use Python packages or manually calculate the mean, median, and mode of real-world datasets.
- 2In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation.
- 3In this lesson, learn how to visualize and interpret a dataset using a histogram.
- 4Learn how to describe a statistical distribution by considering its center, shape, spread, and outliers.
- 5In 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
Central Tendency for Housing Data
In this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Manhattan, New York City, and Queens.
Variance in Weather
In this project, you will try to find the best time to plan a trip to London by looking at a weather dataset containing over 39,000 pieces of weather-related data!
Traveling to Acadia
Use histograms to find the best time of year to visit Acadia, Maine.
How you'll master it
Stress-test your knowledge with quizzes that help commit syntax to memory
— Madelyn, 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.”