Should You Learn Object-Oriented Programming Languages?
December 9, 2024
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“Statistics with Python Using NumPy, Pandas, and SciPy” explores how to apply statistical and mathematical techniques to data science problems.
Statistics with Python Using NumPy, Pandas, and SciPy
Statistics with Python Using NumPy, Pandas, and SciPy
This course is part of Data-Oriented Python Programming and Debugging Specialization
Instructors: Elle O'Brien
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
19 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
19 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Use vector operations in NumPy for applied mathematics.
Visualize and analyze data distributions using NumPy and SciPy.
Use statistics to describe patterns in data distributions.
Conduct statistical inference using hypothesis testing with computational methods.
Details to know
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Recently updated!
March 2025
Assessments
1 assignment
Taught in English
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This course is part of the Data-Oriented Python Programming and Debugging Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
6 videos2 readings1 programming assignment1 discussion prompt2 ungraded labs
What's included
4 videos1 assignment1 programming assignment2 ungraded labs
What's included
6 videos1 programming assignment2 ungraded labs
What's included
9 videos2 readings1 programming assignment2 ungraded labs
Instructors
Offered by
Recommended if you're interested in Data Analysis
University of Michigan
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