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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualization-in-stata/
课程评论：没有评论
课程名称：Stata中的数据可视化 课程概述：数据可视化是现代数据分析的重要组成部分。本课程旨在帮助学习者掌握数据可视化的基本原理，并学会在Stata中生成和编码各类图表。课程采用模块化设计，学习者可以根据自身兴趣选择相应的图形进行学习，无需按照线性顺序进行。 课中将讲解如何应用多种数据可视化方法，并展示如何在Stata中创建、修改和定制这些图形。课程内容涵盖了多种具体主题，包括：直方图、密度图、箱线图、气泡图、散点图等。 学习成果包括： 1. 学习和理解数据可视化的基本方法。 2. 轻松掌握基本可视化方法的变化和定制。 3. 获得多种数据可视化技术的经验，并学会应用。 4. 学习和编码多种Stata图表。 5. 增强在Stata中修改和创建定制数据可视化的信心。 注意事项：学习者应具备Stata的基本操作知识，若完全陌生，建议先修习“Stata基础指南”课程。此课程专注于多种图形的创建及其选项和子选项的使用。
Make sure to check out my twitter feed for monthly promo codes and other updates (@easystats3)Learning and applying new visual techniques can often be a daunting experience. This is especially true if you need to generate and code data visualizations yourself.This course is designed to provide you with a compact, and easy to understand, set of videos that focus on the basic principles behind many common data visualization and how you can code them in Stata. The course is modular; just click on the graphs that you are most interested in and learn away. You do not need to follow this course linearly.This course will teach you many different methods to visualize data and how to generate these yourself in StataVisualizing and graphing data is a vital in modern data analytics. Whether you are a data scientist, student of quantitative methods or a business user, having an understanding of how to visualise data is an important aspect in getting data information across to other stakeholders. Many different ways of visualising data have been devised and some are better than other. However, each method has advantages and disadvantages and having a solid understanding of what visualization might be best suited is key to delivering a concise and sharp "data message". Often, it takes years of experience to accumulate knowledge of the different graphs and plots. In these videos, I will outline some of the most important data visualization methods and explain, without any equations or complex statistics, what are the advantages and disadvantages of each technique.I will also demonstrate how each graph can be created, modified and customised in Stata. The main learning outcomes are:To learn and understand the basic methods of data visualizationTo learn, in an easy manner, variations and customisations of basic visualization methodsTo gain experience of different data visualization techniques and how to apply themTo learn and code many Stata graphsTo gain confidence in your ability to modify and create bespoke data visualisations in StataPlease note the following: You should have some understanding of how Stata works and what.do files are. If you are totally new to Stata you should take a look at my "Essential Guide To Stata" course that explains Stata from the ground up. This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.Specific themes include:HistogramsDensity plotsSpike plotsRootogramsBox plotsViolin plotsStem-and-Leaf plotsQuantile plotsBar graphsPie chartsDot chartsRadar plotsScatter plotsHeat plotsHex plotsSunflower plotsLines of best fitArea plotsLine plotsRange plotsRainbow plotsJitter plotsTable plotsBaloon plotsMosaic plotsChernoff facesSparkling plotsBubble plotsand more
