Learn how to install Tableau Desktop, start a 14-day free trial, activate with a product key, and sign up for Tableau Public to create and publish visualizations.

Explore the three CSV files for hiring data and learn the correct long-table structure Tableau accepts, including lookup tables, and how Tableau uses raw columns to generate charts.

Connect Tableau to csv text files, import data, and preview on the canvas. Adjust metadata and data types, rename fields, and save the workbook.

Compare live connections and data extracts to weigh real-time visualizations against performance and server load, and learn how manual refresh updates an extract.

Combine data from multiple tables in Tableau by joining, blending, or relationships, and learn how union creates a unified view of state-wise hiring cost.

Create relationships in Tableau by dragging tables onto the canvas and using the noodle to connect keys, understanding many-to-many, one-to-many, and one-to-one relationships with safe cardinality and referential integrity.

Learn how to create traditional joins in Tableau and compare them with relationships to compute state wise hiring cost using hiring and store data, including join configuration and keys.

Explore the four types of joins in Tableau—inner, left, right, and full outer—through a customer ID example. Learn how to combine sales and customer tables and handle null values.

Learn how to union data in Tableau to merge similar files into a single table, using specific, wildcard, or canvas-based methods, and understand why unions occur in the physical layer.

Explain physical and logical data layers in Tableau, show how joins and unions unify tables, and establish relationships to build a simple hiring and store data model.

Discover the visualization screen in Tableau, including the sheet layout, menu bar, toolbar, data and analytics panes, and the dimensions versus measures distinction.

Explore how Tableau classifies data into dimensions and measures, and learn to aggregate data by category to compute sums and averages across gender, age, and exam year.

Explore the discrete vs continuous data distinction in Tableau, learn how data type affects visualization, axis behaviors, and how to switch between discrete and continuous dimensions or measures.

Explore how Tableau classifies data as dimensions and measures, and learn to convert between discrete and continuous values and adjust data types for charts.

Explore creating bar charts in Tableau by dragging region and hiring cost into rows and columns, and learn to swap rows and columns, sort data, and rename sheets for visuals.

Visualize trends over time with line charts in Tableau, using date data on the x axis and hiring cost to compare yearly and monthly aggregations.

Create a scatterplot to examine the relationship between hiring cost and relocation cost, and switch measures to dimensions to view unaggregated data or compute state-wise averages with the marks card.

Explore how the marks card in Tableau formats charts for HR analytics, controlling marks types, color, size, labels, and tooltips to improve clarity and interpretation.

Explore how to drag dimensions and measures onto marks cards to create color, size, and detail in charts, and apply percent of total and table down.

Explore how adding dimensions and measures to the marks card forms separate category lines, uses color to distinguish them, and creates dual line charts with two measures.

Learn to visualize data in Tableau with text tables, heatmaps, and highlight tables, including pivot-style cross tabs, region and hiring mode dimensions, and color and size cues.

Learn to create pie charts in Tableau using a dimension and a measure, adjust size and angle to show contributions, add labels, and compare regions with percent of total.

Learn to draw area charts in Tableau, compare them with line charts, and interpret total hiring cost and category contributions using discrete versus continuous and table calculation.

Create and use custom hierarchies in Tableau by drag-and-dropping fields like country, region, state, and city. Drill down with the plus button to explore levels and tailor visuals.

Learn how a tree map uses rectangle size and color to show hiring costs across United States regions and states, preserves hierarchy when present, and works even without hierarchical data.

Master dual combination charts in Tableau by plotting two measures on primary and secondary y axes, using mark types such as bars and lines, and adding labels for the axis.

Create bins in Tableau to convert continuous data into age groups, set the bin size, and analyze hiring costs by these bands. Use the new age groups field for visualization.

Explore how to create histograms in Tableau to visualize data distribution, generate bins automatically or manually, and compare discrete versus continuous bin types.

Group similar subcategories in Tableau to form new categories, such as phones and accessories or tables and chairs, and use these groups to visualize and analyze data.

Master filtering in Tableau by using keep only and exclude options, filter shelf, and dimension, measure, and date time filters to refine state-wise hiring cost visuals.

Learn how to configure dimension filters in Tableau, using general, wildcard, condition, and top tabs to refine states or regions with custom lists, patterns, or rules.

Learn to set up measure filters in Tableau by dropping a measure into the filter shelf, choosing an aggregation, and applying range options to filter data.

Explore how to apply date-time filters in Tableau to view HR data by year, month, or range, including relative dates, range dates, and date as a dimension.

Explore filter options in Tableau for HR analytics, including showing and hiding filters, editing and clearing filters, and using context filters with apply to worksheets across multiple sheets.

Explore the five filter types in Tableau—extract, data source, context, dimension, and measure filters—and the order of execution, including promoting to context for performance.

Learn to customize visual filters in Tableau, adjusting dimension and measure filters, using format, filter and set controls, and applying filters across worksheets.

Master Tableau sorting options to order data by hiring cost, alphabetic or data source order, and manual or nested sorts, with clear steps to apply and remove sorts.

Create a map chart from geographic data in Tableau, rendering states as regions with boundary highlighting, color by hiring cost, and label values for quick HR analytics visualization.

Identify the three essentials for a map chart: background map, geographic data, and geocoding, then use Tableau built-in or custom maps and assign geographic roles to ensure proper plotting.

Explore how to customize geographic maps in Tableau using the marks card, including selecting map marks, coloring by region or measure, adding labels, size, and tooltips.

Explore how to customize maps in Tableau using the map menu, including background maps, custom images, geocoding, edit locations, map layers, legends, and map options.

Add and manage multiple layers on a Tableau map to show hiring cost by color and relocation cost by size, with geographic data and layer visibility controls.

Explore the map visual toolbar in Tableau for HR analytics, featuring search, layer controls, zoom, pan, area and circular selections, distance measurement, and data filtering.

Plot office locations on a custom background image in Tableau by creating an x–y grid, joining coordinate data, and displaying points on a Google map background.

Create and visualize territories on Tableau maps by grouping states into three territories based on hiring cost, then use those territories to color code and aggregate data.

Learn how to plot locations in Tableau when geocoding is missing by blending two data sources using an id match and lat/long values to create a map.

Learn how to create calculated fields in Tableau to transform HR data, including currency conversion, date differences, and conditional categories, and use these fields for deeper analysis and visualization.

Discover how Tableau functions—number, date, text, logical, and aggregate—enable calculations with predefined formulas. Practice the case function and other functions to perform math, date, and text operations in HR analytics.

Explore table calculations in Tableau, apply calculations like percentages, differences, and ranks, and determine direction across or down to compute totals within the visualization.

Learn to build a two-dimensional table in Tableau, then apply add and quick table calculations—difference from, percent from, percent of total, rank, percentiles, and running totals.

Learn how to use level of detail expressions in Tableau to control aggregation across dimensions with fixed, include, and exclude, enabling per-student and per-institute insights.

Learn to use fixed, include, and exclude LOD expressions to enable cohort analysis and first order year insights in Tableau and region insights.

Explore the analytics pane in Tableau for HR analytics to add constant line, average line, median with quartiles, totals, trend line, forecast, cluster, and box plots for data distribution insights.