NumPy Tutorial for Beginners – Master Python Arrays for Data Science
Learn NumPy from scratch and understand the core of data science using Python’s most powerful numerical computing library.
Learn NumPy from scratch and understand the core of data science using Python’s most powerful numerical computing library.
This beginner-friendly NumPy course by Amit Thinks offers a detailed introduction to one of the most essential libraries in Python for data analysis, machine learning, and scientific computing. Starting from installation and environment setup, you'll dive into creating and manipulating arrays, exploring dimensions, indexing, slicing, reshaping, and more.
The course also teaches you about data types, arithmetic and statistical operations, searching, sorting, joining/splitting arrays, and using random number generation with NumPy. With a mix of short practical videos and full-length crash courses, you’ll build a solid foundation in handling numerical data effectively using NumPy.
Basic knowledge of Python
A laptop or desktop with Python installed
(Optional) Jupyter Notebook or Google Colab
Curiosity to understand data structures and scientific computing
Understand the fundamentals of NumPy and its role in scientific computing
Be able to create, manipulate, and analyze arrays
Perform mathematical operations on large datasets efficiently
Apply NumPy in data science, analytics, and machine learning workflows
Be ready to transition into Pandas, Matplotlib, and Scikit-learn with confidence
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language
English
Duration
03h 08mLevel
beginner
Expiry period
Lifetime
Certificate
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