Mastering NumPy
- Description
- Curriculum
- Reviews
This comprehensive NumPy course is designed to empower data science enthusiasts, analysts, and professionals with the essential skills needed to efficiently manipulate, analyze, and visualize data using NumPy, a fundamental library for scientific computing in Python. Whether you’re a beginner or an experienced data scientist, this course covers the key aspects of NumPy, providing hands-on exercises and real-world applications to solidify your understanding.
What Will I Learn?
Overview of NumPy
NumPy Arrays
Array Creation and Initialization
Array Indexing and Slicing
Multidimensional Arrays
Array Manipulation Functions
Descriptive Statistics
Probability Distributions
Hypothesis Testing
Correlation and Covariance
Targeted Audience
Any Graduate
Requirements/Instructions
Basic Knowledge of Python Programming
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8Reshaping NumPy ArrayText lesson
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9Copying NumPy ArrayText lesson
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10Indexing NumPy ArrayText lesson
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11Slicing NumPy ArrayText lesson
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12Iterating NumPy ArrayText lesson
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13Filtering Numpy ArrayText lesson
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14Inserting on NumPy ArrayText lesson
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15Deleting on NumPy ArrayText lesson
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16Appending NumPy ArrayText lesson
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17Sorting and Counting in NumPyText lesson
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18Joining NumPy ArrayText lesson
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19Spliting NumPy ArrayText lesson
![numpy feature image](https://jcodebook.com/wp-content/uploads/2024/07/numpy-feature-image.png)