Courses
Analyzing Data in Tableau
基本的技能水平
更新 2025年12月TableauData Visualization8小时24 videos69 Exercises5,550 XP75,554成就声明
深受数千家公司学员的喜爱
培训2人或以上？
试试DataCamp for Business课程描述
Create detailed visualizations
In this course, you’ll learn how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend your data using calculated fields.Apply skills with a case study
You’ll also apply your new skills to complete a customer analytics case study. Through hands-on activities, you’ll learn how to create bins, customize filters and interactions, and apply quick table calculations.Become a power user
Finally, you’ll learn power user techniques, including how to slice and dice data and apply dynamic sets and groups—bringing you one step closer to being Tableau Desktop Specialist certification-ready.先决条件
Introduction to Tableau1
Preparing for Analysis
Learn best practices for organizing fields into dimensions and measures and how to configure date and time fields for trend analysis. All the while, you’ll use Calculated Fields, quick table calculations, and highlight actions to elevate your visualizations and reveal the hidden insights.
2
Exploring Visualizations
In this chapter, you’ll get to know more about Divvy users. Learning about them provides valuable information toward successful and continued engagement. To do this, you’ll build bar charts, KPI charts, and histograms with variable bin width. You’ll create additional insights by adding filters to your visualizations.
3
Mapping Analysis
Dive deeper into maps and elevate geographic data with layers and density. You'll customize Tooltips and learn how to embed them with more information. You'll also learn more about Quick Table Calculations and apply them to your visualizations.
4
Groups, Sets, and Parameters
Expand your Tableau toolbox with groups, sets, and parameters. You'll create groups using Lasso selection and Calculated Fields. You'll also use Parameters to enable users to dynamically input changes to your visualizations. Finally, you'll create Sets and compare your findings to an external weather data source.