55 Days of Tableau Complete Masterclass

Create treemaps in Tableau from genre and box office worldwide, and learn how Show Me toggles between heat maps and highlight tables while adjusting color and labels.

Learn to build a more sophisticated treemap by layering studio and genre with color, using two dimensions in color, and reordering labels to clarify the studio-first hierarchy.

Learn to create bullet graphs in Tableau to compare a measure to a target, using two measures and a dimension with horizontal bars and budget versus box office.

Explore how to build a combined axis chart in Tableau, swap reference lines on the continuous axis, and compare box office worldwide with US and Canada.

Explore creating a combined axis chart with multiple measures, comparing box office, worldwide box office, US and Canada, and budget over year, including labeling and axis titles.

Demonstrates the difference between a combined axis chart and a dual axis chart, showing how two axes and synchronized axis enable meaningful comparison of box office US and Canada with worldwide totals.

Create a dual axis chart comparing box office US and Canada to budget with synchronized axes, then build a scatter plot of audience versus critic scores for 200 movies.

Refine scatter plots by adjusting axes, coloring by genre, and sizing with box office, then build a budget vs box office scatter plot for US and Canada with title detail.

Build a scatter plot of box office (US and Canada) versus budget, color by genre, adjust circle size and borders, then create and export a cross tab for analysis.

Build a bar-in-bar chart in Tableau by layering box office and budget for US and Canada, using measure names, color, size, and unstacked bars with sorting.

Learn how to create box plots in Tableau to visualize the distribution of a measure across genres, using audience score to compare different movie categories.

practice creating box plots and using mark labels and annotations in Tableau. learn to configure genre, audience score, budget, and title details, show outliers, adjust axis, and annotate specific marks.

Learn to add titles, captions, and tooltips in Tableau, customize fonts and formatting, and annotate charts to reveal interactive details.

Master editing axes in Tableau, including starting at zero, flipping or reversing axes, adjusting major and minor tick marks, and formatting axes as percentages in tooltips and charts.

Import the NBA season dataset in csv or twx, or via Excel, explore its structure of conference, division, team, and player, and connect to Tableau to begin analysis.

Learn how the NBA season runs from October to May, with east and west conferences and three divisions, 30 teams, a regular season, and playoffs.

Explore the Tableau workspace, learn how dimensions and measures drive visualizations, and build interactive charts by dragging fields, coloring, and labeling to reveal team insights.

Master Tableau's Show Me to quickly create bar charts, tree maps, side-by-side circles, packed bubbles, and simple tables, while adjusting colors, labels, and sizes.

Count players per team in Tableau by using the tableau-generated field number of records at the team level, with the show me function.

Explore discrete versus continuous fields in Tableau, understand finite versus infinite values, and see practical examples like product category, division, country, age, and revenue.

Explore the practical use of discrete versus continuous fields in Tableau by adding headers and axes, using blue pills for headers and green pills for axes, with real examples.

Compare dimensions and measures, where dimensions provide context to categorize data and define granularity, while measures supply numeric content to be aggregated and analyzed.

Master aggregation and granularity in Tableau by using dimensions to provide context, switching between aggregated and disaggregated measures, and controlling level of detail for insightful visualizations.

Explore aggregation and granularity in Tableau by comparing scatter plots with and without disaggregated measures, and learn how adding conference, division, and team controls granularity without altering visuals.

Explore aggregation and granularity in Tableau, learn how the detail shelf affects level of detail without altering visuals, and distinguish dimensions from measures to control context and content.

Explore the four roles of data fields, detailing how discrete and continuous dimensions and measures shape Tableau views, with exam-focused guidance for practical mastery.

Build a revenge of the trees chart by combining two charts in Tableau to show how tree maps differ from trees, then format bars, circles, axis, and dates for homework.

Create a dual axis chart of box office worldwide by year in Tableau, synchronize axes, and combine bars and circles with labels, currency formatting, and annotations.

Learn the difference between discrete and continuous dimensions in Tableau, and how converting a measure like field goal percentage into a green continuous dimension alters granularity and axes.

Master discrete dimensions and continuous measures in Tableau, learn how headers differ from axes to control granularity, and understand aggregation and visualization with age and team examples.

Explore how to set default aggregations for measures in Tableau, switching to average, median, max, or min, and why dimensions do not support aggregation options.

Learn why dimensions can't be aggregated and apply a workaround by converting a dimension to a measure to use min, max, count, and count distinct, with discrete blue measures.

Master how dates act as dimensions in Tableau, explore discrete versus continuous behavior, and use date part and date trunk concepts, including max, min, and count as measures.

Explore how dimension filters refine a Tableau view, distinguish continuous and discrete fields, and apply, customize, and remove filters across color, detail, and filter shelf.

Describe the use of date filters in Tableau, clarify how filters affect aggregation vs. granularity, and explore range and discrete date options, including relative and year-based filters.

Learn how to use measure filters in Tableau to filter views by aggregated sums versus underlying data, with practical examples using GDP data and top values.

Explore filtering by relevant values in Tableau. Distinguish discrete from continuous fields and use region, year, and country name filters to show the top ten GDP countries.

Learn to build a dynamic top ten filter in Tableau using use all and top ten by GDP USD with sum aggregation, updating automatically as data changes.

Learn how context filters control Tableau's order of operations by applying region filters before the top ten, enabling accurate results and faster processing on large data sets.

Master context filters in Tableau to control how top-n and bottom-n GDP filters interact across years, revealing true rankings when the context order changes.

Master context filters in Tableau by building a bottom ten GDP 2013 chart, ensuring 2013 is filtered first, removing null values, and sequencing filters for accurate results.

Explore how context filters operate at the data set level, why aggregated filters cannot be used in context, and how non-null GDP USD values drive filtering before aggregation.

Apply a filter scope in Tableau to enforce a region across all worksheets or across selected sheets, and see changes propagate when editing filters across the data source.

Learn how to add a parameter to filters in Tableau, enabling dynamic bottom-n controls for country rankings and empowering self-serve analytics with a range of values for an integer parameter.

Explore the Michael Jordan and LeBron James goat debate through game score. Build two Tableau charts: maximum game score by month and average game score by month.

Explore solving the basketball max game score homework in Tableau by building month-by-month bar charts for LeBron and Jordan, comparing dashboards, colors, and data tips.