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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-exploration-data-analysis-data-visualization/
课程评论：没有评论
**课程名称：** 数据探索、数据分析和数据可视化 (Data Exploration, Data Analysis, Data Visualization) **课程概述：** 本课程是数据分析流程的起点——探索性数据分析 (Exploratory Data Analysis, EDA)。您将通过对原始数据进行初步的、非结构化的探索，以发现数据中的初步模式、特征和值得关注的点。课程的目标并非揭示数据集中的所有信息，而是帮助您建立起对重要趋势和主要研究方向的宏观认识。 数据探索可以结合手动方法和自动化工具，例如数据可视化、图表以及初步报告。您将学习如何理解您拥有的数据，并据此提出问题、构建分析框架，以及如何有效地处理和利用数据源来获取所需答案。通过直观和量化的方法，对数据中的模式、趋势、异常值和意外结果进行全面审视，以理解数据所讲述的故事。最终，您将能够找到下一步的研究方向、需要进一步提出的问题或需要探索的领域。 **数据分析**是一个检查、清洗、转换和建模数据的过程，旨在发现有用的信息，形成结论，并支持决策。 **数据可视化**是将数据以图形或图像的形式呈现出来。它使决策者能够直观地理解分析结果，从而掌握复杂的概念或发现新的模式。
Data exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. This process isn't meant to reveal every bit of information a dataset holds, but rather to help create a broad picture of important trends and major points to study in greater detail. Data exploration can use a combination of manual methods and automated tools such as data visualizations, charts, and initial reports.Exploratory Data Analysis (EDA) is the first step in your data analysis process. Here, you make sense of the data you have and then figure out what questions you want to ask and how to frame them, as well as how best to manipulate your available data sources to get the answers you need. You do this by taking a broad look at patterns, trends, outliers, unexpected results and so on in your existing data, using visual and quantitative methods to get a sense of the story this tells. You're looking for clues that suggest your logical next steps, questions or areas of research.Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns.
