Course
Learn Statistics with Python
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary4 hoursCertificate of completion
Included with paid plansPrerequisites
None
About this course
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.
Syllabus
11 lessons • 6 projects • 6 quizzesProjects in this course
- Project
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. - Project
Variance in Weather
Find the best time to visit London by examining weather data. - Project
Traveling to Acadia
Use histograms to find the best time of year to visit Acadia, Maine.
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Related resources
- Article
Normalization
This article describes why normalization is necessary. It also demonstrates the pros and cons of min-max normalization and z-score normalization. - Article
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Learn the general structure of how to approach Machine Learning problems in a methodical way. - Article
Exploratory Data Analysis: Data Visualization
Learn to explore a dataset by visualizing the data.
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.