The Complete Tableau Analyst Bootcamp 2026

Create charts and a complete dashboard in Tableau by integrating sales and review data, analyze growth and average review scores over time, and explore the correlation between sales and reviews.

Create and format a Tableau dashboard by arranging three charts, adjusting size, fonts, and titles for clarity, and prepare to add a filter to make all three charts interactive.

Add an interactive audiobook name filter to a three-chart dashboard, apply it to all worksheets, and explore how reviews, sales, and the ratio of reviews to sales relate.

Explore the 365 data science signup and login flows through a practical case study, analyzing registration methods, device considerations, common errors, and opportunities to optimize conversions.

Prepare dashboard data with MySQL and MySQL workbench, use SQL to join visitors, students, actions, and errors for signup analysis in Tableau.

Visualize sign-up operating systems with a bar chart in Tableau, grouping Android, iOS, Mac OS, Windows, and others; compare failure rates and explore signup type filters.

Arrange worksheets into dashboards and weave them into a three-page Tableau story, merging visualizations like sign up conversion rate, devices bar chart, and operating systems horizontal bar chart.

Assess the current sign-up flow, including email and social options and mobile versus desktop conversion trends, highlighting Android email failures as a priority.

Analyze sign up types in the story based dashboard, noting Google dominates and email follows as the second option. Explain how external factors and internal triggers shape sign up choices.

Analyze login types on the 365 data science site, note email dominates logins but causes most failures, and propose prioritizing social logins while improving the email flow.

Establish a baseline, define opportunity, and estimate impact using market research and benchmarks. See sign-up flow optimization lifts visitor to free conversion and grow paid subscriptions and revenue, weighing costs.

Learn how to set up an A/B test for sign-up optimization using confidence levels, minimum detectable effect, and statistical power to interpret results from a 300,000-visitor sample.

Learn to measure customer churn and retention for a subscription business by calculating monthly churn, separating active and passive churn, and using cohort analysis in Tableau.

Outline a Tableau dashboard by sketching layouts, selecting time and country filters, and building charts that compare revenue, churn, and customer cohorts.

Track user resurrections and upgrades in Tableau by building bubble and line charts from 365 student resurrections data, comparing original and resurrected subscriptions with plan types and date filters.

Transform resurrected data into a stacked bar chart with monthly granularity to show monthly spikes by resurrected plan type and track two kpis: total resurrected students and average resurrection time.

Create a new dashboard to visualize user resurrections, placing a bar chart atop two kpis for total resurrected users and days to resurrection, then add icons and format the layout.

Build a Tableau dashboard by applying period and cohort filters to track monthly retention rates, compare year-on-year growth, and contrast cohort analysis with order frequency.

Analyze October 22 net revenue of about $34,500 and refunds, comparing to prior periods, account for seasonality, and apply year-over-year and same-month views, plus regional pricing effects.

Analyze revenues by country through average order value (AOV) to spot high-value regions like Spain, the UK, and Australia, and tailor price-sensitive options with country-specific discounts and upgrade opportunities.

Explore how subscribers upgrade from monthly to annual and lifetime plans, analyze upgrade rates and the November Black Friday spike, and discuss targeted campaigns and onboarding upsells to boost conversions.

Analyze resurrected users and their return timelines, noting 450 resurrected customers and a 120-day average. Explain why annual plans outperform monthly ones via campaigns, incentives, and a 145-day inactivity window.

Examine how customer retention rates and order frequency differ between annual and monthly subscription plans, using cohort analysis to reveal churn drivers and campaign effects.

Explore how customer engagement drives retention on the 365 data science platform, define engagement and onboarding, compare free and paid student behavior, and prepare Tableau dashboard visualizations.

Sketch the dashboard to visualize engagement, minutes watched per student, and certificates issued with key indicators, filters, a donut chart for ratings, and a bar chart for course metrics.