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Analyzing Data in Tableau

4.3+
33 reviews
Beginner

Take your Tableau skills up a notch with advanced analytics and visualizations.

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8 Hours24 Videos69 Exercises
39,431 Learners

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Course Description

Take your Tableau skills up a notch with advanced analytics and visualizations.

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.
  1. 1

    Preparing for Analysis

    Free

    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.

    Play Chapter Now
    Data preparation
    50 xp
    Non-aggregating numerical dimensions
    50 xp
    Preparing the data
    50 xp
    Measures and calculated fields
    100 xp
    Highlighter
    100 xp
    Calculated Fields to extend data
    50 xp
    DATEDIFF function
    100 xp
    Weekday or weekend?
    100 xp
    Highlighter for multiple rows
    100 xp
    Visualizations for exploratory analysis of trends
    50 xp
    Discrete or continuous time analysis?
    100 xp
    Discrete time analysis and Quick Table Calculations
    50 xp
    Low usage trends
    100 xp
    Weekly pattern by user type
    100 xp
    Slicing and dicing
    50 xp
    Weekday trends by gender and time of day
    100 xp
    Bubble chart
    100 xp
    Scheduling a promotional discount
    100 xp
  2. 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.

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    Who are your customers?
    50 xp
    Missing information
    100 xp
    Exploring user data
    50 xp
    Getting to know the Divvy users
    100 xp
    Adding filters
    100 xp
    Building a KPI dashboard
    50 xp
    Formatting user KPIs
    100 xp
    Creating a user dashboard
    100 xp
    Enhancing the dashboard
    100 xp
    The distribution of users
    50 xp
    Choosing the right chart type
    50 xp
    Visualizing distributions
    50 xp
    Using a histogram
    100 xp
    Using a line chart
    100 xp
    Working with bins
    50 xp
    Customizing the bin size
    100 xp
    Exploring day pass user age
    100 xp
  3. 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.

    Play Chapter Now
    Interactive mapping of customer activity over time
    50 xp
    Customer activity in motion
    50 xp
    Visualizing concentration of activity
    100 xp
    Tableau's new density mark type
    100 xp
    Layering and total dock utilization
    50 xp
    Splitting the map
    100 xp
    Enhancing the map
    100 xp
    Overlaying the maps
    100 xp
    Quick table calculations for ranking
    50 xp
    What goes where?
    100 xp
    Combining characteristic and quick table calculations
    50 xp
    Adding details without noise
    100 xp
    Breaking out by customer type
    100 xp
    KPIs and time segments
    50 xp
    Charting station KPIs
    100 xp
    From bubbles to donuts
    100 xp
    Analyzing our results
    100 xp
  4. 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.

    Play Chapter Now
    Groups
    50 xp
    Groups for regions
    50 xp
    Lasso selection
    100 xp
    Editing groups
    100 xp
    Creating seasonal groups
    50 xp
    Seasons
    100 xp
    Ranking dashboard
    100 xp
    Embedding in the tooltip
    100 xp
    Parameters and sets
    50 xp
    Parameter characteristics
    50 xp
    Parameters
    50 xp
    Replacing rank with a parameter
    100 xp
    Color by parameter
    100 xp
    Sets
    50 xp
    Set for windiness
    100 xp
    Divvy trips and windiness
    100 xp
    Divvy trips and temperature
    100 xp

In the following tracks

Data Analyst in TableauTableau Fundamentals

Datasets

Workbooks and Datasources

Collaborators

Collaborator's avatar
Celia Fryar

Prerequisites

Introduction to Tableau
Sara Billen HeadshotSara Billen

Data Scientist at DataCamp

Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passionate about education, data science, and business and loves that she is able to combine all of these disciplines in her job as curriculum manager at DataCamp.
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Lis Sulmont HeadshotLis Sulmont

Content Program Manager at Duolingo

Lis holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. She's passionate about teaching all things related to data and improving the accessibility of these topics.
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Hadrien Lacroix HeadshotHadrien Lacroix

Curriculum Manager at DataCamp

Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.

Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.

Follow Hadrien on LinkedIn
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Don’t just take our word for it

*4.3
from 33 reviews
61%
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  • Nicolas F.
    15 days

    Immediately after taking the class I am already analyzing and visualizing data in Tableau for work!

  • Randall H.
    about 1 month

    All of the different presenters were excellent--clear in their descriptions and demonstrations of the functionality. The exercises were also great. This class left me eager to learn some more!

  • Alankar K.
    2 months

    I think Datacamp is very forgiving and beginner-friendly.

  • Dustin B.
    2 months

    The course walks through good examples that show the power of Tableau for analyzing data.

  • Jessica F.
    3 months

    I really like the way the course is structured, I found it very useful.

"Immediately after taking the class I am already analyzing and visualizing data in Tableau for work!"

Nicolas F.

"All of the different presenters were excellent--clear in their descriptions and demonstrations of the functionality. The exercises were also great. This class left me eager to learn some more!"

Randall H.

"I think Datacamp is very forgiving and beginner-friendly."

Alankar K.

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