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# Statistical Techniques in Tableau

4.6+
17 reviews
Intermediate

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

4 Hours18 Videos52 Exercises

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## 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!

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### In the following Tracks

Certification Available

Go To Track
1. 1

### Univariate exploratory data analysis

Free

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!

Play Chapter Now
Welcome to the course!
50 xp
Interpreting histograms
100 xp
EDA in Tableau: tables and bar plots
50 xp
Superstore data: table
100 xp
Superstore data: bar plot
100 xp
EDA in Tableau: histograms
50 xp
Superstore data: histogram promo
100 xp
Superstore data: histogram bin size
100 xp
Box plots and distribution characteristics
50 xp
Which visualization should you choose?
100 xp
EDA in Tableau: box plots
50 xp
Superstore data: boxplot
100 xp
Superstore data: compare box plots
100 xp
2. 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.

3. 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!

4. 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.

### In the following Tracks

Certification Available

#### Data Analyst in Tableau

Go To Track

Datasets

Workbooks and Datasources

Collaborators

Maarten Van den Broeck

Senior Content Developer at DataCamp

Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
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## Don’t just take our word for it

*4.6
from 17 reviews
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• Caroline B.
2 months

Learn a lot! Thank you!

• Arturo V.
4 months

One of the best courses I have taken on DataCamp. I have been using Tableau for years and I had never used the techniques I learned in this class. I didn’t realize statistical EDA could be done in Tableau without having to code in Python/R.

• Nicolas F.
7 months

This course was extremely helpful in learning how to use calculated fields and other types of techniques in order to perform statistical analysis in tableau.

• Alejandro P.
over 1 year

great course

• Yan O.
over 1 year

Quality content

"Learn a lot! Thank you!"

Caroline B.

"One of the best courses I have taken on DataCamp. I have been using Tableau for years and I had never used the techniques I learned in this class. I didn’t realize statistical EDA could be done in Tableau without having to code in Python/R."

Arturo V.

"This course was extremely helpful in learning how to use calculated fields and other types of techniques in order to perform statistical analysis in tableau."

Nicolas F.