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Statistical Techniques in Tableau

中级技能水平
更新时间 2024年10月
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
免费开始课程
TableauProbability & Statistics
4小时
18 视频
52 道练习
4,300 XP
14,658
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课程描述

Use Built-in Statistical Functions

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Perform EDA and Create Regression Models

Using drag and drop analytics, you'll learn how to perform univariate and bivariate exploratory data analysis and create regression models to spot hidden trends.

Apply Machine Learning Techniques

Working with real-world datasets, you’ll also use machine learning techniques such as clustering and forecasting. It’s time to dig deeper into your data!

先决条件

Introduction to Tableau
1

Univariate exploratory data analysis

Exploratory data analysis, or EDA, is a fundamental step when doing data research. Getting the first insights of your data is easy in Tableau: you’ll be creating and interpreting tables, bar plots, histograms, and box plots in no time!
开始章节
2

Measures of spread and confidence intervals

In this more conceptual chapter, you’ll dive deeper into the use of different measures of center and spread, and how they should be used in Tableau. You’ll learn about the use of the summary card, the difference between sample and population, and how variance, standard deviation, and confidence intervals can be calculated and visualized.
开始章节
3

Bivariate exploratory data analysis

It's time to look at two variables at a time. Describing the relationship between two variables, or regression, is a great way to spot trends in your data. You'll learn how to find the best trend line, describe the trend model, and predict future observations, using dinosaur data!
开始章节
4

Forecasting and clustering

In this last chapter, you’ll explore two more advanced statistical techniques: forecasting and clustering. Forecasting helps you detect recurring patterns in your time-series data, and can predict how these patterns will change in the future. With clustering, you’re able to detect patterns in unlabeled data, allowing you to slice and dice your dataset to reveal hidden insights.
开始章节
Statistical Techniques in Tableau
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