
Explore Tableau for beginners by connecting to data, manipulating and visualizing it, and building interactive dashboards with bar, line, and pie charts for storytelling and insights.
Discover how Tableau enables data visualization through dashboards, interactive visuals, and data storytelling; connect multiple data sources, use filters and parameters, explore metadata, and publish for free.
Explore Tableau ecosystem—Tableau Desktop, Server, Cloud, Prep, and Public—note Desktop requires a subscription while Public is free but cannot connect to databases; learn to download and access documentation.
Explore Tableau's three interfaces, connect to data, clean and explore datasets, and craft visuals in sheets, dashboards, and storyboards.
Connect to Excel and CSV data sources, preview data with metadata, column and row counts, and explore multiple sheets from the Superstore data in Tableau.
Learn to identify Tableau data types, such as text, date, date and time, numerical, boolean, and geographical, and choose between dimensions and measures with practical data cleaning tips.
Sort data by column names or rows with ascending or descending order in Tableau, and filter rows using data source or visual filters to refine the dataset.
Explore how to handle missing values in Tableau by identifying data types, filtering out null ratings, and adjusting filters to import the non-null rows from the electronic store dataset.
Learn to combine data from multiple sources in Tableau by joining and unioning datasets, including sales, customer, store, and region data from csv files.
Join and blend data in Tableau using physical and logical layers, map keys like customer ID, and connect sales, customer, team, store, and region for a unified output.
Blending data in Tableau using the physical layer shows inner joins and left, right, and full outer joins, and links primary and secondary sources via matching fields like customer ID.
Explore tableau's order of operations, from extracts and data source filters to context and dimension filters, then include and exclude lods, measure filters, table calculations, forecast, and trend lines.
Create calculated fields in Tableau by importing the Superstore data, exploring 21 columns across the orders dataset, and using the date name function to identify the weekday for each order.
Create a calculated ship date field and a days-to-ship field using date functions, then classify shipments as normal, fast, or late with conditional statements in Tableau.
Create a calculated field for product price by dividing sales by quantity, then split order ID by dash to yield order year and final order ID, and hide original field.
Learn to organize data in Tableau by building hierarchies, groups, and sets, including region-city-postcode and product-category hierarchies, while converting measures to dimensions and noting generated longitude, latitude, and row counts.
Group in Tableau by combining first class and same day as express, and second class and standard as non express. Create sets with quantity condition to filter customers above threshold.
Explore the Tableau visual interface, manage data sources, rename datasets, apply filters and date settings, export clean data to CSV, and navigate worksheets, dashboards, stories, and formats to begin visualizing.
Master basic charts in Tableau using Show me, dragging measures and dimensions to rows or columns to build bar, line, and text table visuals of sales by subcategory and region.
Explore formatting and customizing charts with area charts, monthly sales views, discrete vs continuous months, and analytics options like constant line, average line, trend line, totals, and box plots.
Format and customize bar and line charts in Tableau by using labels, tooltips, and view options, refine appearance with color, opacity, and paths, and tailor tooltips for regional sales insights.
Show row and column totals and grand totals in text tables by analytics drag, and customize area charts with border lines, tooltips, and annotations in upcoming lessons.
Learn to build and customize a wide range of Tableau charts—from bar, line, area, and text tables to heatmaps, treemaps, pie charts, and scatter plots—using sales data.
Explore when to use dual axis charts versus shared axis charts to plot multiple measures on one dimension, synchronize axes, and switch between bar, line, and donut visuals in Tableau.
Explore how the analytics tab in Tableau adds reference lines, trend lines, and box plots, with options for average and median, forecast, and customization across table, pane, or cell.
Explore hierarchies in Tableau by drilling from region to state to city and from category to subcategory to analyze sales, quantity, and profits across states.
Explore how Tableau plots geographic data with default longitude and latitude, edit locations, filter unknowns (Canada vs United States), and switch among symbol, field, and density maps.
Format maps in Tableau by adjusting the background layer and style, then zoom to reveal roads and house numbers. Explore adding data layers and dual-axis views for richer insights.
Explore extract, data source, and visual filters in Tableau to refine yearly sales views. Show how to enable filters and choose single value list, single value drop down, or slider.
Explore how to apply context filters in Tableau to show top ten products by country, with metrics like orders, quantity, sales, and profits, and learn how filter order affects results.
Harness parameters in Tableau to create dynamic top n filters (top 3, 5, 10, 15) and connect them to filters, with range and step size options.
Learn to display multiple measures on single dimension in Tableau using a measures parameter and a calculated field with case statements, toggling profit, sales, quantity, shipping, and orders by region.
Build dashboards in Tableau by combining multiple worksheets, configuring size and background, and enabling actions like filters, highlights, and device preview.
Draft a Tableau dashboard from scratch using floating layouts. Set sizes, add a title, and arrange region, state, and category visuals with an emphasis on borders, alignment, and 2019–2022.
Explore building dashboards in Tableau with tiled and floating layouts, using horizontal and vertical containers, placing titles, logos, and charts, spacing with blanks, and aligning charts while preparing for filters.
Learn to add interactivity to dashboards by using filters, including year of order date and ship mode, and apply them across all sheets with single-value dropdowns.
Master dashboard interactivity in Tableau by applying and managing filter actions to filter the whole dashboard, and use highlights, go to sheet, go to URL, and change parameters.
Learn to add a dynamic web page dashboard action in Tableau by linking a state filter to a Wikipedia page, displaying state details within the dashboard for deeper insight.
Publish your Tableau work to Tableau Public with a unique URL, sign in to your merged account, and share interactive dashboards across devices while considering audience platform layouts.
Export and embed your Tableau Public dashboards with share links and embed code, while noting dynamic URLs and external content warnings that appear when dashboards pull outside pages.
Protect your Tableau Public work by adjusting settings to control downloads, visibility, and profile display, safeguarding visuals and datasets against plagiarism.
Explore practical Tableau tips and best practices for designing charts with Show Me templates, renaming sheets for clarity, and applying global formatting and color coding to group data sources.
Guide learners through a two-part capstone: union three hospitality datasets into 16 columns and 44,556 rows, then explore the suggested charts for analysis in Tableau.
Engage in Makeover Monday data visualization with Tableau by redesigning dashboards, applying interactive filters and image hover features to compare data across countries.
Explore Tableau Public for project ideas and inspiration, browsing categories. Connect with the Tableau community on Twitter, LinkedIn, and the Tableau Community website, share your work, and ask questions.
Unlock the full potential of data visualization with Tableau for Beginners: Master Data Visualization! Whether you're new to Tableau or looking to strengthen your data skills, this hands-on course will guide you through everything you need to know to transform raw data into insightful, interactive visualizations.
This course begins with an in-depth exploration of the Tableau interface, helping you become comfortable with its features and functionalities. You'll then learn how to connect to various data sources, including Excel, CSV, and databases, ensuring you can seamlessly import and manage datasets. With step-by-step tutorials and real-world exercises, you'll gain hands-on experience in manipulating data, utilizing filters, and working with calculated fields to enhance your analysis.
As you progress, you’ll master techniques to create stunning charts, graphs, and dashboards, making it easy to communicate complex data in a visually compelling way. We’ll also cover best practices for data storytelling, enabling you to present findings clearly and effectively.
The course culminates in an exciting final project, where you'll apply your newfound skills to analyze real-world data and build a polished, interactive dashboard. By the end, you’ll have the confidence and expertise to use Tableau for business intelligence, analytics, reporting, and decision-making.
Whether you're a professional looking to upskill, a student diving into data analytics, or an entrepreneur aiming to leverage data for better decision-making, this course provides a solid foundation to start your Tableau journey.
Take the first step toward becoming a data visualization expert—enroll now and turn data into powerful insights with Tableau!