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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualization-in-python/
课程评论：没有评论
课程名称：Python中的数据可视化（Mplib、Seaborn、Plotly、Dash) 课程概述：本课程将教您如何以可视的方式轻松合成复杂的数据集。您将通过探索真实数据集，掌握数据可视化这一基础数据科学技能，使用最流行的Python工具（matplotlib、seaborn、plotly和dash）。您将学习如何从数据中提取最相关的信息，并用各种图表向非技术人员展示这些信息。通过Python，您将学习如何从复杂数据中提取可视化知识，以支持决策制定。 在课程中，您将： - 掌握Python中主要的数据可视化库，适用于数据科学。 - 探索和提取复杂数据中的重要知识。 - 学习构建具有图表的网页界面，以向更广泛的受众呈现重要结果。 课程内容将涵盖8个不同的数据集，您将学习理解其内容，并通过构建各种基础和高级图表来回答问题。这一数据可视化技能是数据科学专业人员分析和建模数据、协助决策和解决复杂问题的核心部分。数据可视化在此过程中起着重要作用，旨在以各种不同背景的受众能够理解的方式展示结果。 为了展示结果，您还将利用plotly库创建一个网页接口，实时显示网页上最相关的信息：访问量、用户类型、会话时长、购买情况等。通过完成本课程，您将熟练掌握这些工具，能够对自己的数据集进行视觉分析，并提取其中最相关的信息。
Learn how to synthesize complex data sets easily in a visual way. In this course, you will develop this basic data science skill (data visualization) by exploring real data sets with the most popular Python tools (matplotlib, seaborn, plotly, and dash). You will learn how to extract the most relevant information from data and present it with a variety of graphs and charts to non-technical people.Learn how to extract visual knowledge from complex data for decision-making with Python.- Master the main visualization libraries in Python for Data Science.- Discover and extract the most important knowledge from complex data.- Learn to build web interfaces with charts to present important results to a wider audience.Master a basic data science skill.In the course, you will explore 8 different datasets. You will learn to understand their content and answer questions by building a variety of graphs, basic and advanced. This is a basic data science skill as data science professionals analyze and model data to assist decision-making and solve complex problems. Data visualization is a fundamental part of this process, guiding the data scientist's analysis and presenting the results in a way that people with diverse profiles can understand. For the presentation of results, we will create a web interface with the plotly library that will show in real-time the most relevant information of a web page: visits, user types, session duration, purchases, etc. At the end of the course, you will master all these tools fluently and will be able to visually analyze your own datasets and extract the most relevant information from them.
