Tableau for HealthCare Analytics

Explore the Tableau interface by connecting to diverse data sources—flat files, PDFs, SQL servers, cloud solutions, Amazon Redshift, and Tableau Server—while leveraging documentation and accelerators to jumpstart analysis.

Explore the backbone of Tableau: green measures and blue dimensions, and how they become axes or headers, with discrete and continuous options and aggregations.

Connect to an Excel file and explore the Tableau interface with the Superstore dataset. Learn about data types, metadata, live versus extract connections, and how dimensions and measures shape visualizations.

Learn to build real-time time-series visuals in Tableau, using line and bar charts, donuts, and maps, while mastering tooltips, colors, labels, and basic table calculations.

Explore a healthcare analytics case study at California General Hospital, building a KPI dashboard with admissions, readmissions, length of stay, costs, and insurance data, using data modeling and visualizations.

Explore star and snowflake schemas by linking a fact table with dimension tables, compare performance, and use star schema when possible, while implementing in Tableau.

Explore building a Tableau data model with multiple fact relationships, linking fact and dimension tables via keys like patient_id, organization_id, and encounter_id using extract connections.

Explore data blending in Tableau for healthcare analytics by linking primary and secondary data sources, understanding linking fields, and how left joins preserve primary data.

Learn how inner, left, right, and full outer joins work in Tableau, and how relationships, data blending, and null handling affect results and performance.

Learn to add dynamic interactivity in Tableau by creating and wiring parameters for measures and start/end dates, using case statements, aggregations, and reference bands to color and summarize ranges.

Master table calculations in Tableau, including running totals, percent of total, and moving averages, and learn to apply LOD expressions and parameters for customized analytics.

Learn to build an interactive Tableau map showing profit ratio across top 20 states by sales and regions, with custom state selection and parameter-driven filters.

Learn to build a readmission KPI in Tableau by filtering inpatient encounters, computing first admission and discharge dates, and comparing current year to prior year readmission percentages.

Calculate the average patient stay using start and end dates, then plot this KPI on your dashboard to complete the assignment.

Create insightful healthcare tables in Tableau by analyzing payer coverage and out-of-pocket costs. Use base encounter cost and total claim cost to reveal insurance impact with the Tableau extension.

Learn to use custom shapes in Tableau to visualize hospital kpis by encounter type, filtering dashboards for inpatient, outpatient, urgent care, and ambulatory care while styling labels and icons.

Refine a hospital dashboard in Tableau by using format extension, adjusting layout and borders, and enabling export to Excel while highlighting patient admitted journey, admissions, readmissions, and seasonality.

Learn practical formatting techniques in Tableau for healthcare analytics, including customizing tooltips to show year and patient counts, styling a KPI, converting metrics to percentages, and improving donut charts.

Convert a pie chart into a donut chart using a dual axis, then add interactivity with filter actions to explore year-based seasonality and gender trends in healthcare analytics.