“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
Access provided by C.V. Raman Global University
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 weeks to complete
at 10 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.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
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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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
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