Course
Learn Statistics with NumPy
Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary4 hoursProjects
3Prerequisites
1 courseWe suggest you complete the following courses before you get started with Learn Statistics with NumPy:- Learn Python 3
About this course
NumPy is a popular Python library that will help you calculate large quantities and common descriptive statistics without writing these functions from scratch. These courses also teach the fundamentals of statistical distributions that can be used to describe datasets.
Syllabus
3 lessons • 3 projects • 3 quizzesCertificate of completion available with Plus or Pro
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Projects in this course
- practice Project
Betty's Bakery
Help Betty figure out how much she needs to buy using NumPy arrays describing her recipes. - practice Project
Election Results
See how survey responses compare to actual election results using binomial distributions. - practice Project
CrunchieMunchies
Use NumPy to solve statistical questions about a cereal dataset.
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Related resources
- Article
NumPy Matrix Multiplication: A Beginner's Guide
Learn how to perform matrix multiplication in NumPy using dot(), matmul(), and multiply() functions. A beginner-friendly guide with examples. - Article
Introduction to Pandas and NumPy
pandas and NumPy are very useful libraries in Python. Let's learn how to use them! - Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib.
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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.