초보자도 쉽게! 따라하며 배우는 Python 데이터분석 Part.2 - Numpy

행렬 및 다차원 배열을 지원하며, 고속의 수치계산용 라이브러리인 넘파이의 기본에 관한 모든 내용

Udemy
platform
한국어
language
Data Science
category
초보자도 쉽게! 따라하며 배우는 Python 데이터분석 Part.2 - Numpy
0
students
15.5 hours
content
Mar 2024
last update
$54.99
regular price

What you will learn

NumPy 기본 사용법 및 속성

배열의 속성 및 형태

배열 생성 및 변형

특수한 형태의 배열 생성 및 조작

인덱싱 및 슬라이싱

브로드캐스팅(Broadcasting)

다차원 배열 및 처리

배열 조작 및 추가

Why take this course?

🚀 **[초보자도 쉽게! 따라하며 배우는 Python 데이터분석 Part.2 - Numpy]** especial greetings from **ITGO**! 👋 🎓 **Course Overview:** Dive deeper into the world of data analysis with Python in our second part of the "Follow Me and Learn Python Data Analysis" series, where we focus on mastering **NumPy** – a powerful library essential for numerical computing in Python. This course is a continuation from our previous sessions, building upon your newfound knowledge to explore more advanced features and applications. 📚 **What You'll Learn:** - **Basics of NumPy**: Get acquainted with the fundamentals of NumPy, including its array objects, data types, and memory efficiency. - **Array Operations**: Discover how to perform mathematical operations on arrays, manipulate array elements, and understand the various properties and forms an array can take. - **Creating and Modifying Arrays**: Learn how to create NumPy arrays from scratch, modify their shapes, and generate specialized arrays for your data needs. - **Indexing and Slicing**: Master the art of indexing and slicing with confidence, accessing specific elements or subarrays without confusion. - **Broadcasting**: Grasp the concept of broadcasting to efficiently perform operations on arrays of different sizes and shapes. - **Multidimensional Arrays**: Handle complex datasets using NumPy's multidimensional array capabilities, perfect for advanced data analysis tasks. - **Array Manipulation and Addition**: Perform element-wise operations, and learn how to merge arrays with similar dimensions. 👥 **Who is this course for?** - Anyone eager to learn the basics of Python data analysis and get hands-on practice. - Those looking to quickly master essential data analysis libraries (Numpy, Pandas) within Python. - Professionals aiming to apply data analytics in their work to streamline processes and gain valuable insights. - Aspiring data scientists or individuals preparing for a career in data science, seeking to understand the foundational aspects of the field. 🔍 **What Skills Will You Gain?** - Understanding of NumPy's core functionalities and array attributes. - Proficiency in creating, modifying, and generating different types of NumPy arrays. - Ability to manipulate data through indexing, slicing, and broadcasting. - Skills to efficiently work with multidimensional arrays and complex datasets. - Practical experience in performing array operations that will enable you to solve real-world problems using Python and NumPy. Join us on this exciting journey into the realm of data analysis with Python! 🌟 We can't wait to see you there and help you unlock the power of NumPy. Let's make data analysis a breeze together! 📊✨
5895542
udemy ID
3/28/2024
course created date
4/1/2024
course indexed date
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