Python Data Science: NumPy

Python Data Science: NumPy

本课程是 Using Data Science Tools in Python 专项课程的一部分

位教师：Bill Rosenthal

访问权限由 New York State Department of Labor 提供

3个模块

深入了解一个主题并学习基础知识。

4 小时完成

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3个模块

深入了解一个主题并学习基础知识。

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

In this course, you will manage and analyze data with NumPy arrays, and manipulate and modify data with NumPy arrays.

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作业

1 项作业

授课语言：英语（English）

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该课程共有3个模块

In this course, you'll continue developing your data science skills in Python by working with one of the most fundamental data science libraries—NumPy. You'll create NumPy arrays, load and save NumPy data, and analyze data in arrays. You'll also manipulate and modify data in those arrays.

The foundation of data science in Python® is NumPy. Most of your work will involve NumPy, whether directly or indirectly. So, you'll leverage the power of this library to manage your data and extract useful insights from that data.

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While analyzing data is an important part of the data science process, so is changing that data to meet your needs. Whether it's to prepare and clean the data, or to modify it for easier analysis and presentation, being able to transform your NumPy arrays is crucial.