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Mastering Numpy in Python
Rating: 4.3 out of 5(86 ratings)
4,884 students

Mastering Numpy in Python

Unlocking the Power of NumPy: Mastering Data Manipulation in Python
Created byGeorge Paterakis
Last updated 10/2025
English
English [Auto],

What you'll learn

  • Learn manipulate data with numpy
  • Learn to load and store arrays in disk
  • Learn Linear Algebra Operations with Numpy
  • Learn how to use Numpy for statistics
  • Learn to concatenate and split data using Numpy

Course content

4 sections • 16 lectures • 1h 10m total length

  • Introduction1:30

    Explore numpy, a fundamental package for scientific computing in Python that enables fast operations on multi-dimensional arrays and supports linear algebra, Fourier transforms, and random simulation.

  • Creating your first Numpy Array3:21

    Import numpy and build your first array from a list, then create zeros, ones, and full arrays with a given shape, and reshape or chain numpy operations to explore arrays.

  • Slicing and Indexing - Accessing parts of Numpy Arrays3:55

    Master slicing and indexing of 2d numpy arrays by accessing elements with row and column indices, and using slicing to retrieve rows, columns, or subarrays.

  • From 1D to 2D++2:21

    Convert a 1d NumPy array to 2d using new axis or expand dims. Turn it into a row or column vector with axis 0 or 1, and check its shape.

  • More FREE learning0:04
  • AI Community0:33

    Join the free ai community to connect with others, access new courses, and explore classroom offerings with updated content at no cost.

Requirements

  • No requirement. It's good to have finished the Python and Pandas Course! Offered for free in my profile.

Description

Are you new to Python and excited to explore the world of data manipulation? This beginner-oriented Udemy course is your ideal starting point. We'll guide you through the fundamentals of NumPy, the indispensable library for numerical computing in Python, ensuring you grasp the basics while building a strong foundation

Here's what you can expect to learn in this course:

  • Introduction to NumPy: Begin by understanding the significance of NumPy and its vital role in data manipulation with Python

  • NumPy Arrays: Learn how to create, manipulate, save, and load NumPy arrays, the cornerstone of numerical computations

  • Matrix Operations: Discover how to create and work with NumPy matrices for more advanced data processing

  • Linear Algebra: Dive into the world of linear algebra with NumPy, exploring matrix multiplication, determinants, and more

  • Statistics: Gain insights into how NumPy can help you perform basic statistical operations on your data, such as mean, median, and variance calculations

  • Random Number Generation: Explore the capabilities of NumPy for generating random numbers and simulating data, a crucial aspect of many data-driven tasks

Throughout this course, you'll have the opportunity to apply your knowledge with practical exercises and projects that reinforce your understanding. We've designed this course with beginners in mind, making it accessible and engaging for anyone interested in data manipulation with Python

By the end of this course, you'll have a solid foundation in NumPy and the skills you need to work with data effectively. Whether you're a student, a budding data analyst, or someone simply curious about data manipulation, this course will provide you with the tools and knowledge to begin your data journey

Join us in this exciting introduction to NumPy, and take your first steps towards becoming a Python data enthusiast. Enroll today, and let's embark on this learning adventure together!

Who this course is for:

  • Beginner Python Developers, anyone interested to learn data science or computational mathematics.

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