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Analyzing Data in Tableau

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

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8 Hours24 Videos69 Exercises27,712 Learners5550 XPData Analyst TrackTableau Fundamentals Track

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Course Description

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

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    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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  3. 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.

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In the following tracks

Data AnalystTableau Fundamentals

Collaborators

celiafryar
Celia Fryar
Hadrien Lacroix Headshot

Hadrien 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.

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Sara Billen Headshot

Sara 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 Headshot

Lis 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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