
Learn how Tableau transforms data types into visuals, such as line, bar, histogram, and pie charts, and builds dashboards with filters, dimensions and measures, drag and drop, no coding.
Explore Tableau products—Desktop Professional, Tableau Server, Tableau Online, Tableau Prep Builder, Tableau Reader, and Tableau Public—and learn how visualization, data preparation, modeling, collaboration, and real-time dashboards enable actionable insights.
Tableau automatically detects data types—numeric, string, date, date/time, boolean, and geographic—and uses icons such as abc, calendar, hash, and globe to indicate them.
Understand dimensions and measures in Tableau, and how categorical data versus numerical data determine what you can aggregate using real examples from the sample superstore.
Download Tableau Public from tableau.com and download the Desktop Public edition for learning, then enter your first name, last name, business email, country, and install on Windows or Mac.
Load Excel data in Tableau, navigate the data source and sheets, and optimize data types, aliases, and splits to prepare business-ready dashboards.
Compare live and extract connections in tableau to balance real-time updates with pre-subset data for faster visualizations, while considering internet dependency and on premise extracts.
Explore Tableau basics with worksheets, shelves, and the marks card. Build stacked bar charts, use Show Me, and color by category or measures using gradients.
Learn to vary marker size in Tableau using the size card, resizing bars by sales across subcategories and understanding that color and size cards hold only one field for profit.
Learn to enhance a bar chart with a label card, showing sales and profit values via tags, and customize fonts, colors, currency formatting, and alignment for clear, actionable insights.
Explore how to use the detail card and color card in Tableau to segment sales by region and segment, drill into category details, and enhance dashboards with tooltips.
Create cross-categorical text tables in Tableau by placing subcategories by region, adding sales, and configuring totals, subtotals, and color shading to reveal profit across categories.
Explore a highlight table by selecting category, region, and sales to highlight charts, and customize with diverging colors, text labels, and profit-based color cards to show sales magnitude.
Master Tableau teaches building an actionable heatmap using category, subcategory, and sales, leveraging size and color cards to reveal regional and profit patterns.
Master shape map and filled map charts to visualize geographic data, and apply formatting options like grid lines, background fills, banding, borders, alignment, and more visuals.
Learn to build symbol and filled maps in Tableau, using country, region, and state fields to visualize sales, profit, and quantity with size, color, and tooltips.
Analyze sales and profit trends over time using a line chart with date as a dimension. Switch between year, quarter, and month to reveal seasonal patterns across multiple years.
Explore treating date as a measure in a line chart to view sales by exact dates, months, or quarters, revealing chronological trends and segment comparisons.
Explore how to apply Tableau filters, including extract, data source, context, dimension, and measure filters, learn the order of operations, cascading filters, and applying a single filter on multiple sheets.
Explore dimension filters in Tableau by applying general, wildcard, and top filters to shape product name views, using conditions on measures like sum of sales.
Apply dimension and measure filters in Tableau to isolate sales above 15,000, then identify the top or bottom products and analyze transactions at both granular and aggregate levels.
Apply and explore date related filters in Tableau, using range selection, filter cards, and relative date options with an anchor date to display sales over custom periods.
Learn to apply context filters in Tableau by adding a segment or region to the context, then view subcategory sales driven by the selected segment and region.
Build a cascading filter in Tableau to link country, region, and state hierarchies. Use context filters to show only values in context and auto-deselect dependent items, ensuring clear hierarchical filtering.
Learn to build a pie chart in Tableau, add region and sales data, and apply category filters with single or multiple values and wildcard matching across worksheets.
Master Tableau calculations by creating calculated fields and table calculations, using aggregation, logical, string, and date functions to derive insights like age, discount, and category shares.
Transform delimiters and extract the numeric portion of order ids in Tableau by using the split function and a calculated field to replace hyphens with a slash.
Extract the first name and last name from customer names using the split function with a space delimiter and calculated fields to create new columns in Tableau.
Create a brand column in Tableau by building calculated fields that extract brand names from product names using split and contains, with conditional logic to handle varied formats.
Create a brand column with text functions, analyze sales, profit, and discount by brand, and extract date components (day, month, year, weekday) with Tableau date functions.
Create a calculated field to measure days to ship by calculating ship date minus order date. Transform the result from sum to average by subcategory for a business-ready dashboard.
Explore logical and aggregate functions in Tableau by building a calculated field that flags customer names that start with a vowel, using left, if, and else if conditions.
Create a bar chart of customers by name initial vowel versus consonant using a new string-based customer initial vowel field, then examine distribution across a, e, i, o, u.
Create conditional color themes in Tableau by using aggregate-based thresholds (sum of sales) to bin values and assign colors, then apply gradient palettes to states or categories.
Explore table calculations in Tableau by building a table with quarters, months, and years, and applying running totals, percent differences, percent of total, and ranking types.
Create and analyze additional fields in Tableau by calculating MRP from sale value and discount percentage, then derive discount value to gain deeper insights across regions and transactions.
Master level of detail (LOD) expressions to control granularity and aggregation in visuals, using fixed, include, and exclude LOD to compute values at data source level and the visualization level.
Master fixed LOD in Tableau to compute category and region wise percent of total sales, using calculated fields and table calculations to analyze ship mode sales.
Learn to use include LOD in Tableau to compute total and average sales by category, segment, ship mode, and city via calculated fields and visuals, including maps for dashboards.
Explore exclude LOD in Tableau by creating calculations that exclude a dimension from aggregation, comparing with fixed and include LOD to control sales sums across category, region, ship mode.
Learn to blend data from multiple sources using primary and secondary sources. Understand joins versus relationships, with joins static and key-driven, while relationships offer dynamic, sheet-by-sheet analysis.
Explore inner, full outer, left, right, and anti joins, learn how a common field drives results, and see how nulls appear.
Demonstrate joining Netflix data in Tableau using the show ID with inner, full outer, and left joins to build a master dataset and fuel visuals on cast, country, and ratings.
Explore cardinality and how one-to-one joins use a common key to merge tables into a master dataset. Understand how one-to-one, many-to-one, one-to-many, and many-to-many relationships shape data modeling in Tableau.
Understand one-to-many and many-to-one relationships, using subcategory to category and region to state as examples, and learn how joining tables links one row to multiple rows.
Demonstrate many to many relationships between segment and category and between region and category, emphasizing how cardinality affects joining two tables.
Learn how to create a data union in Tableau by appending rows from multiple tables with identical columns to build a single master data set for cross-month analysis.
Explore custom charts in Tableau, including dual axis and synchronised axis, and create visuals like shape charts, word clouds, and KPI cards to enhance dashboards.
Create a blended axis chart to compare multiple measures over time and by category, displaying sales, profit, and quantity across subcategories in a single dashboard.
Create a shape chart in Tableau by turning a bar chart into shapes, import 40 by 40 icons, reload shapes, and map icons to furniture, office supplies, and technology categories.
Create a scatterplot of sales and profit in Tableau, using gender as the shape with icons, after disabling aggregates. Rename the sheet and explore region shapes.
Create a word cloud from a bubble chart by turning the chart into a text marks card, then color by region to reveal sales magnitude and regional differentiation.
Learn to build a Tableau lollipop chart using a dual axis, with foreground and background shapes, sticks as bars, and category colors to compare sales by subcategory.
Convert a pie chart to a donut with a dual axis, hollow center in white, and color by region while sizing by sales for a hollow donut visualization.
Explore bump charts in tableau to compare month-by-month regional sales by rank using a line chart. Create rank-based visuals for regions and segments to reveal monthly performance shifts.
Learn to build a butterfly chart in Tableau by duplicating sales in columns, placing subcategory on rows, reversing the axis, and coloring wings by region.
Learn to build a waterfall chart in Tableau by placing category and subcategory in columns, creating a negative profit field, applying profit color, and using a running-total Gantt bar.
Create a funnel chart showing regional sales with size and color, in descending order. Build an advanced funnel chart by flipping axes into an area chart using subcategory and profit.
Create key performance indicator cards for sales, profit, and quantity by duplicating templates, applying currency formatting with thousands, adding borders and fills, and centering the text to build actionable dashboards.
Learn to build an advanced KPI card with shapes using percent difference to show year-over-year sales progress by subcategory, using shape and color cards with arrows or emoji indicators.
Master Tableau teaches creating groups to classify subcategories by profit and using pie and column charts to compare profit and sales across regions and subcategories.
Create groups of customers by profit thresholds in Tableau, using drag-and-select and the groups icon. Visualize each group’s profit versus sales with a bar chart to compare performance.
Create sets in Tableau, including fixed and dynamic types, and use unions, intersections, and differences to analyze top and bottom customers by sales in a pie chart.
Create and compare top sets in Tableau, such as top 50 customers by sales and top 40 states by profit, and use a combined set to reveal intersections.
Create dynamic, parameter-driven visuals in Tableau by swapping measures (sales, profit, quantity) and dimensions (region, category, segment, ship mode) using measure and dimension parameters for interactive dashboards.
Create a date parameter to build a single line chart that shows year, quarter, month, or day and swap between sales and profit measures on one visual.
Create and use an integer parameter to control top-n visuals, swap between top states by profit, sales, or quantity, and combine measure and dimension parameters for dynamic filters.
Explore Tableau hierarchies, from date drill-downs of year to quarter to month to day, to product and geographical hierarchies like category to subcategory to product and country to postal code.
Discover how to create bins to group continuous sales data into intervals, visualize frequency distributions, and compute interval-level totals in Tableau.
Master reference lines and bands in Tableau to identify targets and ranges on charts, using per-pane and entire-table scopes, with trend lines, labels, and dashboard formatting.
Learn to create reference lines and bands in Tableau, set category targets, compare actual sales, and analyze distributions with averages and trend lines across charts.
Explore reference distributions in Tableau by adding reference lines, customizing 25, 50, and 75 percentiles on total sales, and visualizing subcategory performance with configurable colors and fills.
Analyze data distributions with quantiles, quartiles, and deciles in Tableau, comparing state sales by region, and interpret lower quartile, median, and upper quartile through reference lines.
Explore Tableau's trend line to estimate the relationship between sales and profit using a linear regression model and interpret the slope and intercept for profit changes.
Create a Tableau dashboard by combining bar, pie, line, and map visuals in containers, plan layout, and add KPIs, filters, parameters, and actions for a responsive, business ready view.
Create a bar chart on a dashboard with category and subcategory, toggle sales, profit, or quantity via a measure parameter, and link bars to Amazon product pages.
Create a pie chart in Tableau using a dimension parameter (region, category, ship mode, segment) and a measure parameter, display values as dollars and percent of total, and customize labels.
Create a line chart in Tableau that switches between order date and ship date using field and date parameters, showing year, quarter, month, and day views with Amazon theme colors.
Build a symbol map in a dashboard to display state-wise sales, profit, and quantity with six-step colors, and add a menu run action to Wikipedia pages.
Create and format multiple KPIs in Tableau—sales, profit, quantity, and orders—using text editor, fonts, colors, borders, and duplication to build a cohesive, business-ready dashboard.
Construct a Tableau dashboard by adding a title and logo, organizing KPI tiles, and placing bar, pie, line, and map charts, with parameters and colors.
Apply dashboard actions to create interactive filters that synchronize multiple visuals in a Tableau dashboard, so selecting a subcategory updates bar charts, line charts, maps, pies, and the KPI.
Create a highlight action in Tableau to link source and target sheets, highlighting regions and subcategories across categories, and add a URL action to amazon.com from the title.
Explore go to sheet actions to navigate from a dashboard visualization to detailed charts, linking region-wise and subcategory detail sheets, and learn to change parameters and set values on selection.
Create a Tableau story that weaves dashboards and multiple sheets with KPIs, observations, and a defined objective to reveal actionable insights for the D Bazaar business.
Create a compelling title page in Tableau by adding a blue and white theme, a bubble chart of subcategory sales, and a word cloud named 'D bazaar story'.
Analyze sales, profit, and quantity across all categories and subcategories for D bazaar. Create a treemap with a measure parameter to compare sales and quantity, colored by profit.
Explore sales, profit, and region analysis by building interactive dashboards with parameters, bar charts, and heatmaps, powered by region, segment, and ship mode insights.
Examine a heatmap of region-wise sales and profit to reveal central region losses, east, south, and west losses in subcategories, and top performers copiers and phones.
Segment-wise sales and profit across ship modes in Tableau, noting standard class as most profitable and first-class losses in subcategories such as tables.
Create an observations sheet with notes, then analyze sales and profit across region, ship mode, and segment to identify losses in tables, supplies, and bookcases, and outline profitability actions.
In today’s data-driven workplace, the ability to visualise insights is as important as collecting data itself. As a market leader in BI and visual analytics, Tableau empowers companies worldwide to uncover insights and make smarter choices.
This course is designed to provide you with a strong foundation in Tableau. You’ll begin with simple connections and charts, then progress step by step into more advanced areas, such as dashboard design, calculations, and interactivity. Along the way, you’ll learn how to tell stories with data that engage decision-makers.
By the end, you’ll be able to confidently use Tableau to analyse datasets, create dashboards, and share insights — preparing you for roles in analytics, BI, consulting, and beyond.
Skills You’ll Master
Data Preparation – Connect and clean datasets from multiple sources
Visualisation Techniques – Design charts and graphs that highlight insights effectively.
Analytical Functions – Use calculations, LOD expressions, and quick table functions.
Dashboard Building – Create interactive dashboards with real-time controls.
Storytelling with Data – Present Your Analysis with Clarity and Impact.
Benefits
Learn by Doing – Build dashboards and visuals using real-world data.
Career Relevance – Tableau is one of the most in-demand BI tools in the job market.
Efficiency in Analysis – Save hours of manual reporting with automated visuals.
Scalable Skills – Skills learned here transfer to advanced BI tools and analytics roles.