Enroll Course: https://www.udemy.com/course/python-part2-numpy/
Are you looking to dive into the world of data analysis with Python but find yourself intimidated by complex libraries? Look no further than Udemy’s ‘초보자도 쉽게! 따라하며 배우는 Python 데이터분석 Part.2 – Numpy’ course. This comprehensive course, the second installment in a three-part series, is specifically designed to make the powerful NumPy library accessible even to absolute beginners.
NumPy, short for Numerical Python, is the cornerstone of scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a vast collection of high-level mathematical functions to operate on these arrays. This course expertly guides you through the fundamental concepts of NumPy, ensuring you build a solid foundation for your data analysis journey.
What will you learn?
The course meticulously covers the essentials, including:
* **Basic Usage and Attributes:** Get acquainted with the fundamental commands and properties of NumPy arrays.
* **Array Attributes and Shapes:** Understand how to inspect and manipulate the dimensions and structure of your arrays.
* **Array Creation and Manipulation:** Learn various methods to create arrays from scratch and modify them efficiently.
* **Special Array Creation and Manipulation:** Explore techniques for generating and working with specialized array types.
* **Indexing and Slicing:** Master the art of accessing and extracting specific elements or subsets of your arrays.
* **Broadcasting:** Grasp the powerful concept of broadcasting, which allows operations on arrays of different shapes.
* **Multi-dimensional Arrays and Processing:** Delve into the intricacies of working with arrays beyond two dimensions.
* **Array Manipulation and Addition:** Discover methods for combining, splitting, and altering arrays.
This course is an ideal starting point for anyone who wants to learn the basics of data analysis using Python, aims to quickly grasp core data analysis libraries like NumPy and Pandas, desires to apply data analysis in their professional work, or is a job aspirant looking to enter the field of data science.
While the syllabus doesn’t detail specific projects, the ‘learn by doing’ approach promised in the title suggests a hands-on experience that will equip you with practical skills. If you’re ready to unlock the potential of NumPy and take your first steps into Python data analysis, this course is a highly recommended choice.
Enroll Course: https://www.udemy.com/course/python-part2-numpy/