Tableau Practical Cases Studies - End to End

Explore the console games expansion and analyze total global sales by genre. Compare platforms and publishers, and evaluate 2014–15 sales for PS4, X1, and Wii U using Tableau.

Analyze ten years of monthly Brazil tourism data in Tableau to reveal trends by continent, country, and state, and build dashboards with time, transport modes, seasonality, and world map filters.

This tableau case study analyzes coffee and tea sales with area and pie charts, maps, and cross-database joins across three data sets, focusing on marketing effectiveness by state.

Analyze a case where ABC Corp considers acquiring X, Y, Z Corp. Create end-to-end Tableau visuals: product category sales, monthly seasonality, state breakouts, and profit by state with data blending.

Explore a case study on calculating employee bonuses from sales data using Tableau Prep to compute total sales, bonus, and name formatting, then build regional reports in Tableau Desktop.

Demonstrates sales and profit analysis in Tableau by blending data from two sources to compare actual versus target sales by month, year, and category, with a difference view.

Learn end-to-end profitability and sales analytics for African Mobile with Tableau, building an interactive dashboard showing profit by city and segment, profit trends, and a granularity-driven scatter plot.

Explore end-to-end digital ads analytics in Tableau, building animated quarterly maps, stacked bar charts by year and customer type with percentage labels, and dashboards with treemaps and time-series growth.

Learn data preparation for Restwell’s hotel survey using Tableau Prep and Tableau Desktop, including pivoting, joins with demographics and metadata, and a Likert scale chart plus country and time distributions.

Build and compare survey visuals in Tableau, from countrywise score distributions with average reference lines to state and gender breakdowns in a Restwell hotels case study.

Learn to build a Likert scale chart in Tableau using calculated fields, discrete 1–5 scores, negative/positive scoring, and percentage sizing to analyze hotel feedback by category.