python★ 4.8
NumPy for Data Science
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pythonMasterclassInteractive LearningCareer Path
Frequently Asked Questions
What will I learn in this course?
Master numerical computing in Python. Learn high-performance array operations, vectorization, and linear algebra fundamentals.
Are there any prerequisites?
This course is structured from the ground up, but having a basic familiarity with python concepts will help you progress faster.
How long does it take to complete?
The estimated duration is 4.5 hours, covering 20 interactive lessons and modules.
Course Modules
Duration // 4.5 hours
Lessons // 20
- 01Introduction to Ndarrays
- 02Array Creation & Indexing
- 03Broadcasting Rules
- 04Vectorized Math Operations
- 05Statistical Methods
- 06Linear Algebra with np.linalg
- 07Random Sampling & Distributions