Applied Plotting, Charting & Data Representation in Python

开始时间: 11/28/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/python-plotting

Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.

课程评论:没有评论

第一个写评论        关注课程

课程详情

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.

Python中的应用绘图,制图和数据表示:本课程将向学习者介绍信息可视化的基础知识,重点是使用matplotlib库进行报告和制图。本课程将从设计和信息素养的角度开始,探讨什么可以使可视化好坏,以及将统计方法转化为可视化的内容。第二周将重点介绍用于在python,matplotlib中进行可视化的技术,并向用户介绍创建基本图表时的最佳做法以及如何在框架中实现设计决策。第三周将是matplotlib中可用功能的教程,并演示各种基本统计图表,以帮助学习者确定何时使用特定方法解决特定问题。本课程将以讨论其他形式的数据结构化和可视化结束。 本课程应在使用Python进行数据科学概论之后以及使用Python的应用数据科学课程的其余部分之前进行:Python中的应用机器学习,Python中的应用文本挖掘和Python中的应用社交网络分析。

课程大纲

In this module, you will get an introduction to principles of information visualization. We will be introduced to tools for thinking about design and graphical heuristics for thinking about creating effective visualizations. All of the course information on grading, prerequisites, and expectations are on the course syllabus, which is included in this module.

课程评论(0条)

课程简介

This course will introduce the learner to information visualization basics, with a focus on reportin

课程标签

Python Python数据可视化 Python数据科学 数据科学

1人关注该课程

主题相关的课程