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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-data-visualization-toolkit-bundle/
课程评论：没有评论
课程名称：完整数据可视化工具包 概述：这个课程包包含练习和可下载的数据文件，您可以边练习边学习，而且终身访问！在这个价值非凡的六门课程包中，学习并掌握能够将复杂数据转变为容易理解的可视化工具。如果您想开始学习数据分析和可视化软件，那么这个数据可视化工具包是一个很好的起点。本课程包包括 Tableau Desktop、Alteryx、Qlik Sense 和 Python Pandas 的六门初级和高级课程。 课程内容包括： 1. **Tableau 初学者课程**： - Tableau 和其产品套件的介绍 - 商业智能的概念 - Tableau 界面及其主要功能 - 适用于 Tableau 的数据结构 - Tableau 的数据读取和分类方式 - 数据连接和管理 - 创建视图和各种图表类型 - 构建和分享仪表板 - 使用计算字段和各种表达式 2. **Alteryx 入门课程**： - 使用 Alteryx 工作流减少重复任务 - 构建可视化工作流 - 数据过滤和匹配 - 创建和运行报告 - 使用预测工具进行数据分析 - 建立聚类模型、逻辑回归和决策树模型 3. **Qlik Sense 入门课程**： - Qlik Sense 与 Qlik View 的区别 - 数据加载、应用创建及分析 - 使用不同图表和表格 - 使用 Qlik Sense 地理分析工具 4. **Tableau 高级课程**： - 参数和细节表达式 - 高级过滤和计算 - 创建交互式和动画可视化 5. **Alteryx 高级课程**： - 多文件处理、数据清洗和操作 - 使用正则表达式和 XML 解析 - 机器学习与 Alteryx 智能套件 6. **Pandas 初学者课程**： - Pandas 概述与安装 - 使用系列和数据框进行数据处理 - 数据预处理和格式化 课程包包含： - 29+ 小时的视频教程 - 170+ 章节视频讲座 - 完成证书 - 课程和练习文件以帮助您跟随学习 这门课程包非常适合任何希望掌握数据可视化技能的学习者，无论是初学者还是希望进一步提升技能的专业人士。
** This course bundle includes practice exercises and downloadable data files to work and follow along with, plus LIFETIME access!In this incredible-value, six-course bundle, learn and master the essential tools that can help turn your large complex data into meaningful visualizations that are easier to understand.If you want to get started with data analytics and visualization software, then this Data Visualization Toolkit is a good place to begin. This bundle includes six full beginner and advanced courses in Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas.What's included?Tableau for Beginners:What Tableau is and the product suiteWhat business intelligence isThe Tableau interface and its major functionsWhich data structures are suitable for TableauHow Tableau reads and categorizes dataDifferent data concepts and theoryHow to connect and manage data sources in TableauHow to navigate the Tableau workspaceHow to build a view and different chart types in TableauHow to create a dashboard in TableauHow to publish and share a workbookHow to use calculated fields in TableauHow to use numeric, string, conditional, and analytical expressions/functions in TableauIntroduction to Alteryx:Using Alteryx workflows to cut out repetitive tasksBuilding visual workflows in AlteryxHow to make the most of 'Favorite Tools' as core Alteryx building blocksFiltering data in AlteryxUsing the basic functions in Alteryx to match dataHow to dynamically rename datasetsHow to parse data in AlteryxCreating reports in Alteryx that run on demandUsing the predictive tools in Alteryx to perform data analysisBuilding a k-centroid clustering model using AlteryxCreating a logistic regression in AlteryxMaking a decision tree-based regression in AlteryxConstructing a random forest-based modelGetting Started in Qlik Sense:The difference between Qlik Sense and Qlik ViewHow to load data in Qlik SenseHow to create and upload apps in Qlik SenseAll about the different charts and graphs available in Qlik SenseAll about Tables and Pivot Tables in Qlik SenseHow to create your analysis in the Story Telling tabAbout numeric and string functions in Qlik SenseHow to use the date and time formatting functionsHow to use Conditional FunctionsHow to combine tables using JOIN, KEEP and CONCATENATEHow to use different charts and tablesHow to use the Qlik Sense Geo Analytics tools (maps)Tableau Advanced:Parameters and sample use casesLevel of Detail (LOD) expressionsWorking with groups and setsUse of spatial functionsAdvanced filtersTable calculationsHow to add interactivity using actionsAnimating your visualizationsAdvanced Tableau charts-circular, sunburst, bump, funnel, candlestick, and Sankey chartsBuilding geospatial dashboards and sales dashboardsCreating dashboards that utilize radial chartsAlteryx Advanced:Using multiple files and CalgarySampling data and using wild matchesData cleansing, manipulation, binning, and groupingUsing RegEx (regular expressions) and parsing XMLWorking with In-DatabaseBlending, selecting, and summarizing dataTake your apps and macros to the next levelUsing iterative and batch macrosUnderstanding app errors and conditionsCustomizing apps and macrosAll about Machine Learning and the Alteryx Intelligence SuitePandas for Beginners:An overview of PandasInstalling Pandas on your computerUsing the two primary Pandas data structures, Series and DataFrameViewing data imported from an external sourceOrganizing input data using indexing and filteringUsing Pandas for data preprocessingAddressing missing values and duplicate rowsFormatting your data most efficientlyProcessing different data typesData manipulation using string functionsDate and time formattingThis course bundle includes:29+ hours of video tutorials170+ individual video lecturesCertificate of completionCourse and exercise files to help you follow along
