초보자도 쉽게! 따라하며 배우는 Python 데이터분석 Part.2 - Numpy
행렬 및 다차원 배열을 지원하며, 고속의 수치계산용 라이브러리인 넘파이의 기본에 관한 모든 내용
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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