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Mastering NumPy

By jcodebook Categories: Data Science
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About Course

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.

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What Will You 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

Course Content

Introduction to NumPy

  • NumPy Overview
  • Creating NumPy Arrays
  • Basic Attributes of NumPy Array
  • Generating Sequence Array in NumPy
  • NumPy Array Creation Functions
  • Working with NumPy Random Values
  • NumPy Mathematical Functions

Data Manipulation with NumPy Array

NumPy Universal Functions

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