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Introduction to Tableau

4.6+
61 reviews
Beginner

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

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6 Hours23 Videos66 Exercises173,915 Learners

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Course Description

Gain a Comprehensive Introduction to Tableau

Tableau is a widely used BI and analytics software trusted by companies like Amazon and Unilever to explore, create, and securely share contextualized data. In this course, you will learn how to build data visualizations, conduct data analyses and adopt best practices of data formatting with Tableau.

Discover what Tableau is Used for and How to Visualize Data

With its user-friendly drag-and-drop functionality, Tableau can be used by everyone to quickly clean, analyze, and visualize your team’s data. This course can show you how. You’ll begin the course by understanding Tableau’s fundamental concepts and features, such as how to load data and workbooks and understanding the interface. You will then create your first visualization with Tableau using an Airbnb dataset.

Build your Own Tableau Dashboard

The final chapters explore best practices for formatting and presenting your data with Tableau, including creating a dual-axis graph, understanding the differences between a worksheet, dashboard, and story, and finally, creating your very first Tableau dashboard. By the end of this course, you’ll have the skills you need to confidently explore Tableau and build impactful data dashboards. Check out our Tableau Fundamentals track to further develop your Tableau skills.
  1. 1

    Getting Started with Tableau

    Free

    You will get an understanding of Tableau's fundamental concepts and features: how to connect to data sources, use Tableau’s drag-and-drop interface, and create compelling visualizations. You will explore an Airbnb dataset for the city of Amsterdam.

    Play Chapter Now
    Introduction
    50 xp
    What can('t) you do with Tableau?
    50 xp
    Connecting to data
    50 xp
    Loading workbooks
    100 xp
    Loading data
    100 xp
    Navigating Tableau
    50 xp
    Dimensions and measures
    100 xp
    A tour of the interface
    50 xp
    New York neighborhood prices
    100 xp
    Segmenting by room type
    100 xp
    How to create visualizations in Tableau
    50 xp
    Creating your first visualization
    100 xp
    Improving your first visualization
    100 xp
    Bringing it all together
    100 xp
  2. 2

    Building and Customizing Visualizations

    Let’s take it up a level and review the core concepts required for analyzing and exploring data in Tableau. You’ll learn how to slice and dice data with filters, create new columns using your own calculated fields, and aggregate dimensions and measures in a view. You will be working with education, social and infrastructure data.

    Play Chapter Now
    Filtering and sorting
    50 xp
    The order of filtering
    100 xp
    Sorting and filtering through selection
    50 xp
    Sorting and excluding multiple fields
    100 xp
    Comparing G7 countries
    100 xp
    Filtering through the filter shelf
    50 xp
    Filtering for null values
    100 xp
    Top filters on Tableau
    100 xp
    Aggregation
    50 xp
    Aggregating measures and dimensions
    100 xp
    Scatter plots and aggregations
    50 xp
    CO2 Emissions and GDP in Sub Regions
    100 xp
    Counting on GDP per capita
    100 xp
    Standard deviation of life expectancy
    100 xp
    Calculated fields
    50 xp
    Calculated fields: which one is false?
    50 xp
    Creating calculated fields
    50 xp
    Calculated field for rounding
    100 xp
    Ratio between genders
    100 xp
    Average across genders
    100 xp
  3. 3

    Digging Deeper

    Dive deeper into analytics by learning how to visualize geographic data and plot data onto a map visualization. You’ll learn how to work with dates in Tableau and explore how the data changes with time. You’ll also learn how to add reference, trend, and forecasting lines to your views. You will do all of this exploring health statistics worldwide.

    Play Chapter Now
    Mapping your data
    50 xp
    Geocoding in Tableau
    50 xp
    Creating a symbol map
    50 xp
    Your first symbol map
    100 xp
    More symbol map options
    100 xp
    World population
    100 xp
    Working with dates
    50 xp
    Date hierarchies
    50 xp
    Visualizing dates
    50 xp
    Your data by year
    100 xp
    Your data by month
    100 xp
    Birth seasonality
    100 xp
    Reference lines, trend lines, and forecasting
    50 xp
    Know your lines
    100 xp
    Adding reference lines, trend lines, and forecasting
    50 xp
    Reference lines
    100 xp
    Trend lines
    100 xp
    Forecasting
    100 xp
    Natality forecast
    100 xp
  4. 4

    Presenting Your Data

    Your data is full of interesting stories and insights still waiting to be told. Learn best practices for formatting and presenting visualisations to tell data-driven stories. Using a new dataset on video game sales you'll be building your first dashboard!

    Play Chapter Now
    Make your data visually appealing
    50 xp
    The art of formatting
    50 xp
    Applying visual best practices
    50 xp
    Create a dual-axis graph
    100 xp
    Expanding a dual-axis graph
    100 xp
    Formatting your visualization
    100 xp
    Dashboards and stories
    50 xp
    Worksheet vs. dashboard vs. story
    100 xp
    Creating dashboards and stories
    50 xp
    Building a dashboard
    100 xp
    Filters and dashboards
    100 xp
    Creating and navigating a story
    100 xp
    Congratulations!
    50 xp

In the following tracks

Data Analyst in TableauTableau Fundamentals

Datasets

Workbooks and Datasources

Collaborators

Hadrien Lacroix
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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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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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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Carl Rosseel HeadshotCarl Rosseel

Head of BI Curriculum at DataCamp

Carl, a Tableau certified data analyst, is the head of the BI Curriculum at DataCamp, where he focuses on democratizing data skills through Business Intelligence tools. He holds a double master's degree in Business Engineering and worked in various analyst roles at an e-commerce company before joining DataCamp. He likes to use data to make the complex simple and tell data stories. Outside work, you can often find him enjoying a game of soccer, both on and off the pitch.
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Don’t just take our word for it

*4.6
from 61 reviews
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  • Miriam L.
    6 days

    very interactive

  • Gorkem K.
    about 1 month

    Good. Learned and enjoyed it.

  • Matthew G.
    about 2 months

    :)

  • Florian M.
    about 2 months

    Great introduction to Tableau!

  • Sumeet M.
    2 months

    Very good set up for a learning environment. Highly recommended

    • Loading ...

"very interactive"

Miriam L.

"Good. Learned and enjoyed it."

Gorkem K.

":)"

Matthew G.

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