|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/exploratory-data-analysis-matlab
课程评论：没有评论
课程名称：使用 MATLAB 进行探索性数据分析 课程概述：本课程将帮助您培养数据科学家的思维方式，学会如何提问并分析数据。您将利用 MATLAB 的互动功能提取数据子集，并计算相关数据组的统计信息。课程将教授如何使用 MATLAB 自动生成代码，方便学习语法，同时还将使用称为“实时脚本”的互动文档，以记录分析步骤、传达结果，并提供互动控件，让他人能够通过选择数据组进行实验。本课程适合具备领域知识且对计算工具有一定接触的学习者，编程背景并不是必需的。成功完成课程的前提是对基本统计知识（如直方图、平均值、标准差、曲线拟合、插值）有一定了解。 完成本课程后，您将能够将数据导入 MATLAB，准备进行分析，进行可视化、基本计算，并向他人传达结果。在最后的作业中，您将结合所学技能评估严重天气事件带来的损失，并依据数据分析结果提供完善的建议。您还能够在地理地图上可视化这些事件的位置，并创建滑动控件，快速展示现象随时间变化的情况。 课程大纲： 1. 数据科学工作流程简介：了解数据科学工作流程的关键步骤，使用提供的脚本开始探索数据集。 2. 数据导入：将数据导入 MATLAB，定制导入选项，并生成自动化的代码，处理不同类型的数据（数字、日期和文本）。 3. 数据可视化与过滤：创建可视化图形，定制图形外观，并过滤数据以选取所需部分，生成新表格供未来使用或共享。 4. 执行计算：编写小段代码以扩展分析，计算数据组的总结统计，并判断变量间的相关性，过滤数据以定义多个变量的条件。 5. 文档记录：创建带有互动控件的实时脚本，提交自己的天气事件分析作为同行评审作业。 加入本课程，提升您的数据分析技能！
Name:Introduction to the Data Science Workflow
Description:In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.
Name:Importing Data
Description:In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.
Name:Visualizing and Filtering Data
Description:In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.
Name:Performing Calculations
Description:In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.
Name:Documenting Your Work
Description:In this module you’ll create live scripts with interactive controls. Then you’ll create your own analysis of a weather event to submit as a peer-reviewed assignment.
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data. You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.
