Udemy

Crash course: Introduction to Pandas and NumPy

立即報名
  • 43 名學生
  • 更新於 4/2023
4.4
(09 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
3 小時 34 分鐘
教學語言
英語
授課導師
Maxime Vandegar
評分
4.4
(09 個評分)

課程簡介

Crash course: Introduction to Pandas and NumPy

Bottom-up introduction to Python data science frameworks: NumPy and Pandas

Are you ready to take your data skills to the next level? Our course on Pandas and NumPy is designed to help you master these powerful libraries and unlock the full potential of your data.


Pandas and NumPy are two of the most popular Python libraries for data manipulation and analysis. Together, they provide a powerful toolset for working with structured data in Python and enable you to perform complex data tasks with ease and efficiency.


In this course, you will learn the fundamentals of Pandas and NumPy and how to use them to solve real-world data problems. You will learn how to load and manipulate data with Pandas, perform mathematical operations and statistical analyses with NumPy, and use the two libraries together to solve complex data tasks.


Our experienced instructors will guide you through the material with hands-on examples and exercises, and you will have the opportunity to apply your knowledge to real-world datasets. By the end of the course, you will have a solid understanding of Pandas and NumPy and be able to use them confidently in your own data projects.


Don't miss this opportunity to learn from the experts and take your data skills to the next level. Enroll now and join our community of data professionals who are mastering Pandas and NumPy and making a difference with data.


課程章節

  • 3 個章節
  • 27 堂課
  • 第 1 章 Numpy
  • 第 2 章 Pandas
  • 第 3 章 Exercice: stock market data

課程內容

  • NumPy arrays, Operations on NumPy arrays, Image processing with NumPy, Vectorial operations, The framework Pandas, Pandas DataFrame, Manipulating Pandas DataFrame, Arithmetic operations and statistical computations


評價

  • D
    David Olusegun Olawepo
    5.0

    Great!

  • M
    Manas Gupta
    4.0

    nice

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