Tableau Data Analyst: Build 12 Real-World Dashboard Projects

Begin building a real-world hr analytics dashboard with snowflake and tableau, transforming raw csv data into a four-dashboard, kpi-driven portfolio that reveals regional performance, profit, and satisfaction insights.

Upload the six csv files into snowflake and build clean, joined views with sql for dashboards. Create a hr analytics database with an analytics schema and import tables.

Import tables into the Snowflake analytics schema, load data from files, verify row counts, and create views joining dim and fact tables for HR analytics.

Create a Snowflake view from the hr analytics database and analytics schema, naming bw_hr_transactions, joining the fact and dim tables, and limit top ten rows for preview before tableau integration.

Connect Tableau to Snowflake, create customer events and HR transactions views in the HR analytics database, then build an executive summary dashboard visualizing profit, transaction count, revenue, and customers.

Build key performance indicators in Tableau to track revenue, profit, customers, employees, and satisfaction scores using calculated fields, formatting, and table relationships with Snowflake.

Create a dual axis bar and line chart to show hiring trends, adjust axes and labels, and then build a donut chart of job roles versus employees with clear labeling.

Learn to build highlight tables, bar charts, donut charts, and dual-axis charts in Tableau, counting employees by department and visualizing monthly revenue.

Learn to build Tableau dashboards with top 15 by profit bar chart, HR trend, dual axis department and transactions chart, and donut chart for profit by job role.

Create area charts and maps, differentiate event types by color, and build heat maps of regions versus department with profit; also design treemaps and dual-axis visuals comparing counts and revenue.

Build a Tableau dashboard with revenue, profit, and transaction KPIs, and visualize hiring trends, regional performance, and customer satisfaction through varied charts.

Create a main executive summary dashboard in Tableau using horizontal and vertical containers, a left-side work tab with navigation, KPI sections, and visuals such as hiring trends and revenue.

Explore a revenue analysis dashboard in Tableau with six visualizations—map, donut, scatter, stacked bar, histogram, and butterfly chart—to guide inventory and pricing decisions.

Develop data preparation and visualization skills in tableau by building a real-world dashboard that analyzes revenue by state, month, age, region, category, and gender from a CSV dataset.

Create a quantity vs discount percentage correlation scatter plot, then build a percentage of revenue by region donut chart with dual axes and percent of total.

Create a butterfly chart of revenue by category and gender, using calculated fields for female and male revenue, and assemble a revenue analysis dashboard in Tableau.

Create and explore a Tableau dashboard of Seattle Airbnb data from Kaggle (2016), analyzing bedroom counts, prices, and seasonal revenue with zip code and map visualizations.

Build an Airbnb dashboard in Tableau by importing Excel data, linking listings and calendar, and visualizing average price by zip code with color-coded maps and labels.

Create a weekly time-series visualization of Airbnb revenue across the year, filter end dates, and compare bedrooms versus revenue to reveal which bedroom count yields higher average revenue, in dollars.

Assess Airbnb competition by bedroom count using distinct count of listings and build a Seattle dashboard that combines bedroom distribution, revenue trends, and listings.

Explore a guided Tableau dashboard project built around new year’s resolution tweets from 2016–2017, featuring categories, peak hours, and a California map for interactive insights.

Prepare a CSV of new year's resolution tweets in Tableau, then build a multi-sheet dashboard with category counts, hourly trends, total tweets, and a map.

Create a geographic map in Tableau and adjust US locations. Color by the count of New Year's resolutions and build a tiled dashboard with region, time, and gender filters.

Connect a text data source of accident records, build KPI cards for current and previous year accidents and casualties, and create calculated fields and parameters to compute year-on-year changes.

Create KPI cards for total casualties and fatal, serious, and slight casualties with current year and previous year comparisons and year-on-year calculations in a Tableau data analyst dashboard.

build sparklines for monthly accidents and casualties, compare current and previous year with synchronized axes, convert one to an area chart, adjust tooltips, and assemble a dashboard layout.

Explore data grouping techniques in Tableau by categorizing vehicle types into groups, creating weather and road-type pie charts, stacked bars, and location maps, with dashboard formatting and year filters.

Learn to build and customize pie charts and complementary visuals to analyze weather conditions, serious casualties, and accident patterns across road types and surfaces, with filters and dashboard layouts.

Explore a final map dashboard in tableau that plots districts from latitude and longitude, refines tooltips with casualties and vehicles, and includes current-year filters.

Build a real-world Tableau dashboard to analyze credit card complaints, featuring top issues, response rates, a density heat map, and weekly to yearly trend views from bank-level data.

Learn to build key performance indicator cards in Tableau using a credit card complaints dataset, creating total complaints, timely response, timely response percentage, and in-progress percentage dashboards.

Explore trendline visualizations in Tableau using weekly, monthly, and yearly trends from a date field. Create a trend parameter and dynamic trend calculator to switch views.

Build a final Tableau dashboard using a heat map and density map of state and zip-code data to reveal top issues, daily complaints, with interactive filters and a trend line.

Explore interactive Tableau dashboards built from the Amazon Prime Video US statistics dataset, highlighting radial bar, donut, area, and stacked charts to analyze genres, release year, and country trends.

Learn to build a radial bar chart in Tableau using an Amazon Prime Video dataset to visualize top ratings by genre, with calculated fields, bins, and radial coordinates.

Create a donut chart from type and title with dual axes, build an area chart by release year and type, and add a top ten genres stacked bar chart.

Build Tableau dashboards by creating top ten genre visuals, country map with counts, and text sheets for description, cast, release, duration, and listed in, all driven by a title filter.

Learn to build and design a Tableau dashboard featuring top ratings radial bar, top ten genres, total shows by country and release year insights, while refining titles, colors, and layout.

Explore a United Kingdom traffic collisions dataset through a Tableau dashboard, featuring a map with location, junction type, date, severity, and weather filters, plus injuries and fatalities trends from 2003–2020.

In this Tableau project, import Seattle collisions data, fix longitude and latitude, build a density map, group junction types, apply weather and date filters, and enhance tooltips and map layers.

Create and format donut, bar, and line charts while building a density map dashboard with tooltips to analyze incidents by location, severity, weather, and fatalities.

Build an interactive Tableau dashboard for UK traffic collisions, combining density maps, annual injury and fatality trends, and weather, junction type, and lighting condition filters.

Explore a guided Tableau project that builds a video game sales dashboard from 1980–2020, showing sales by genre, top platforms, top publishers, and top games with regional insights.

Import a video game sales dataset into Tableau, define dimensions and measures, and build a dual-axis sales by year and genre visualization using a zone parameter.

Create top ten sales visualizations in Tableau using filters, end date parameter, and study period to compare 2014 data, with bar charts and a tree map using zonal sales.

Create a total sales by genre dashboard in tableau by configuring filters, parameters, colors, and labels, then add text sheets for total names, platforms, and publishers.

Refine a tableau dashboard combining top ten names and platforms by sales with genre insights, and apply layout, colors, and interactive filters like zone and date range for exploration.