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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.

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4 Hours18 Videos52 Exercises
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Course Description

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

Data Analyst in Tableau

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  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.

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  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!

    Play Chapter Now
  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.

    Play Chapter Now
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Data Analyst in Tableau

Go To Track

Datasets

Workbooks and Datasources

Collaborators

Collaborator's avatar
Hadrien Lacroix
Collaborator's avatar
Sara Billen
Maarten Van den Broeck HeadshotMaarten 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.

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