Tableau Tutorial for Beginners

Master Tableau basics to turn raw data into clear visual insights. Learn drag and drop dashboards, data blending, and real time analysis with Tableau Desktop and Tableau Public sharing tools.

Explore Tableau products and tools for beginners, including Tableau Desktop, Tableau Public, Tableau Server, Tableau Online, and Tableau Reader, with setup, sharing, and connecting to data sources.

Explore how Tableau connects to data sources, pulls data with a click (live or extracted), creates visualizations and dashboards, and shares insights via Tableau Server, Tableau Online, and email subscriptions.

Learn how to download and install Tableau Desktop and Tableau Public, compare their use, try the 14-day free trial, and start with data connectors and sample super store data.

Install and open Tableau Public, explore the welcome screen, connect to the sample superstore data, and import Excel sheets via drag-and-drop while reviewing metadata and data types.

Explore Tableau's data source metadata and field types. Learn to rename, reset, and alias columns, view metadata details, and decide when to create calculated fields, groups, or bins.

Learn how to work with Tableau data sources, identify geographic roles, split and custom split columns, rename and delete fields, and union data from multiple tables for integrated analysis.

Learn how to create and manage unions in Tableau, explore data sources, and build visualizations using sheets, dimensions, measures, and the analytics pane.

Learn to create and customize visualizations in Tableau, including renaming sheets, editing titles, adjusting fit options, applying color and labels, sorting by sales, and formatting currency.

Format a Tableau worksheet by customizing fonts, alignment, numbers, and currencies, including negative value formats. Use shading, borders, grid lines, axis text, and labels from the Format tab.

Create dual axis charts by combining two parameters (sales and profit) on a single view with separate axes and color-coded marks.

Explore building hierarchies in Tableau with order date from year to day, and create multi-axis views, including dual and beyond, to compare sales, profit, and quantity across time.

Explore how to use filters in Tableau, including discrete and continuous filters, show filter options, keep only, and editing ranges, then create hierarchies by dragging subcategory into category.

Create and customize hierarchies in Tableau, such as category and subcategory, and country, state, and city, by dragging, dropping, renaming, and expanding with the plus icon.

Learn how to create and manage groups in Tableau to cluster top subcategories within each category, rename groups, and control colors and visibility through filters for clear comparisons.

Learn how to create and use parameters in Tableau to control views, enable top or bottom state filters by sales, and explore parameter-driven filtering.

Create and use sets in Tableau based on parameters to highlight top and bottom states by sales, then apply color filters and view set members.

Learners explore sets and parameters in Tableau, highlighting top end states by sales and the effect of metric changes, and demonstrate creating combined fields for category, subcategory, and segment.

Create a calculated field in Tableau to apply mathematical, logical, and date functions to existing fields, revealing profit versus loss.

Publish and share Tableau dashboards to Tableau Public online by saving work to the cloud and signing into your account. Learn to manage visibility, downloads, and profile settings.

Learn to create a pie chart in Tableau using the Show Me tab, drag fields, add labels with percent of total via quick table calculations, and understand aggregate measures.

Create scatter charts with at least two measures in Tableau and color by category to compare sales, profit, and quantity, then use histograms to explore sales distributions by bins.

Learn to create Gantt charts and packed bubbles in Tableau, using date dimensions and measures to visualize timelines and profitability with color and size.

Create tree maps and word maps in Tableau, sizing by profit and coloring by sales via show me. Note that word maps require extra steps, as they aren't natively supported.

Explore Tableau map visualizations, including symbol maps and filled/field maps, using latitude/longitude or geographic fields, and customize with sales, profit, and segment data via color and size.

Master how to customize Tableau map visualizations, including editing locations, choosing map styles, adjusting layers, and rendering data as shapes, labels, or pies to reveal profit by state.

Explore map groups in Tableau to color-code regions, rename groups, and use filters to compare sales or profit across maps, including data from countries other than the United States.

Master building funnel charts from category and shipment data, tailor colors and labels, and create advanced funnel and waterfall charts, including negative sales, in Tableau.

Learn how to import and relate multiple tables in Tableau using a common key like order ID, to analyze returns, subcategories, and state maps from the sample data.

Learn to add and customize reference lines in Tableau charts, starting with bar charts and applying to continuous metrics like sales, with options for averages, sums, and labels.

Explore how to add and customize reference lines, bands, and distribution points in Tableau, including line formats, fills, tooltips, percentiles, quartiles, and standard deviation.

Create a donut chart from a pie chart in Tableau, and build a multiple shapes chart (lollipop) using dual axes, with labels, percent of total, and hierarchies.

Learn to create time-based animations in Tableau charts using the pages pane, loop playback, show history, and color and trail settings for bar and line visuals.

Learn how to apply conditional formatting in Tableau by creating calculated fields, using index and last functions, converting to discrete, and highlighting top or bottom subcategories with color rules.

Learn to build a calculated field for top five or bottom five in Tableau, combining index and last conditions, and apply conditional formatting across charts, maps, and visuals.

Learn to create dashboards in Tableau by combining multiple visualizations, arranging layouts for phone and desktop, and wiring actions to open web pages or Wikipedia pages based on selections.

Explore iris dataset clustering analysis in Tableau by building scatterplots of petal length and width, cleaning data, and visualizing species clusters to guide future predictions.

Explore how to use Tableau to perform k-means clustering on iris data set, identify three clusters by petal width and length, and map clusters to iris setosa, versicolor, and virginica.

Explore the iris data with a k-means clustering model, compare predicted clusters to actual species, and assess model accuracy through a calculated accuracy score and dashboard visuals.

Explore linear regression in Tableau to predict scores from hours studied using a simple supervised learning approach. Understand the trend line, r-squared, p-value, and overfitting when training the model.