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!
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I am a masters student at University of Crete. I have specialized in Machine Learning, missing data, AutoML and Bayesian Optimization. I have worked on machine learning related topics for the past 5 years. Currently having 2 publications in the pipeline, one under revision review and one at the experimental stage.
My interests are LLMs, AutoML, and deep learning technologies.
