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 a three-chart tableau dashboard: number of reviews with monthly average score on a second axis, a pie chart of review share by audiobook, and a reviews-to-purchases ratio.

Connect two data sources in Tableau and create a join using transaction ID to combine audiobook sales and reviews, choosing a left join to include all purchases.

Validate that 110,570 transaction rows reflect the sales file and adjust date formats. Count ratings correctly, apply monthly granularity, and switch to data blending when joins misalign.

Learn how to blend data in Tableau by combining separate sources with a common field. Compare blending to left joins and understand the aggregation Tableau performs in the view.

Verify data integrity by blending two data sources in Tableau and linking fields to align sales and ratings for a correct monthly timeline.

Create the first chart for the dashboard in Tableau. Display monthly number of ratings and the average rating on a dual axis, with color tweaks.

Create a pie chart in Tableau showing each audiobook's percentage of total reviews (10,798) with labels, revealing that audiobooks 1 and 2 account for over half the reviews.

Create a bar chart in Tableau showing the ratio of reviews to audiobook purchases per month by building calculated fields for number of ratings, number of purchases, and their ratio.

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.

Fix interactive filters by confirming blending connections and audiobook name relationships, then apply the filter to all charts. Verify connections turn red before applying to all worksheets.

Discover how building a custom learning management system enables data-driven improvements to the signup flow and student experience through SQL and Tableau insights.

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.

Explore basic terms for improving the online registration experience, from visitors to customers, and analyze signup success rate and visitor-to-registered conversion rate.

Streamline signup and login flows to boost conversions with a simple, fast process, minimal steps, and options like social sign-up, passwordless registration, and automated form completion.

Sketch a three-page Tableau dashboard to optimize signup flow, using bar and line charts for visitors and conversion rates, and device stacks with signup and login error analyses and filters.

Explore how to collect, access, and import data for Tableau, from APIs and web scraping to surveys and databases. Compare live connections versus static files to prepare clean, ready-to-visualize data.

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

Learn to use MySQL Workbench to load and run SQL queries, build common table expressions, and compute signup conversion rates—visitor to registered and visitor to free—by date for dashboards.

Construct SQL queries to analyze signup methods and errors on the 365 platform, categorize signups by type (email, Google, Facebook, LinkedIn), and separate successful from failed attempts.

Categorize visitors by device using sessions OS, distinguishing mobile (android, ios) from desktop (windows, linux, mac os x, ubuntu). Create case expressions to group signup attempts and distinguish signup types.

Educate students on integrating MySQL Workbench data with Tableau Public to visualize signup conversion rates, creating csv exports, and building worksheets, dashboards, and stories for clear insights.

Build a dual-axis Tableau dashboard of monthly traffic and conversion rates. Create calculated fields for visitors to registered and visitors to free to power the visuals.

Analyze how mobile and desktop devices and their operating systems shape the sign-up experience on the 3.65 platform, detailing device categories, display size differences, and OS trends.

Compare mobile and desktop signup attempts with two bar graphs in Tableau, showing outcomes (fail, retry, success, direct), percent of total, and identify mobile failure red flags to optimize interfaces.

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.

Create two worksheets in a tableau narrative with a vertical signup options chart and a horizontal errors chart, and use filters to sharpen insights on performance and issues.

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.

Create a single interactive dashboard by swapping sheets with a string parameter and filter shelf to toggle signup conversion rate charts between registered and free visitors.

Use parameters to swap between sign-up and visitor to free conversion rate views on the dashboard with filters. Organize visuals with containers - vertical tiled and floating - to create flexible Tableau layouts.

Design and publish a Tableau dashboard by adding devices and operating systems bar charts beside monthly visitors and sign-up conversion rates, with filters, legends, and a branded logo.

Build a dashboard to analyze sign up types and errors for 4365 registrations—email, Google, Facebook, and LinkedIn—using two linked bar charts and shared filters.

Format and polish Tableau stories with design improvements, using dropdown filters, aligned containers, edit colors, and HTML color codes to explore palette variations, plus add the 365 logo.

Enhance tableau stories by formatting dashboards with colors, shading, and fonts to improve interpretability, then refine the sign up flow optimization dashboard to visualize 365 visitor signup behavior.

Develop a narrative dashboard using Tableau to analyze the 365 Data Science signup flow, identify issues, and craft an actionable analysis report with five key sections for improvement.

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.

Assess signup failure and success rates for Google, email, Facebook, and LinkedIn using absolute and relative metrics to inform mobile optimization of the 365 data science signup flow.

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.

Define a clear, measurable business objective using data collection and analysis to drive informed decisions and growth, focusing on visitor to free conversions and free to paid conversions.

Develop a clear, testable hypothesis to boost visitor to free conversion rate and revenue by optimizing the signup flow and using social signup options like Google, with opportunity sizing.

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.

Translate data analysis into actionable signup improvements to boost the visitor-to-registered conversion rate. Emphasize social media signups, single-click options, and a streamlined email path, validated through AB testing.

Understand the fundamentals of a/b testing as a split test comparing the control with a variation on digital products. Learn how randomised groups and key performance indicators drive data-driven decisions.

Explore setting up an A/B test for a signup flow, define null and alternative hypotheses, assign test groups, and interpret p-values and 95% confidence to judge conversion effects.

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.

Run an A/B test on the sign-up screen, monitor critical metrics and novelty effects, analyze results, and determine if highlighting social media signup increases conversions and reduces registration time.

Analyze signup flow optimization using a data-driven Tableau dashboard to identify layout issues, compare social signup options via AB testing, and project revenue uplift from improved registrations.

Analyze and optimize signup flows with data-driven A/B testing, expanding social signups (Apple, Twitter, TikTok) and email options to improve conversion, reduce errors, and drive revenue via MySQL and Tableau.

Analyze the business case by examining customer churn and retention in a subscription-based online education platform, and prepare a Tableau dashboard using MySQL, workbench, and revenue metrics.

Explore the difference between gross revenue, net revenue, and net income, and learn how refunds, discounts, and the new versus recurring revenue mix inform the dashboard.

Explore basic customer types and terminology through a case study, from free users to paid customers, re-subscribers, upgrades, downgrades, churn, and resurrection, and how these drive retention analysis.

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.

Define key questions for customer churn analysis, linking metrics like net revenue, refund rate, and churn to business growth. Compare customer groups, monitor retention, and track upgrades and resurrected users.

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

Learn to write sql queries to extract purchases and refunds for net revenue, then classify by country, product type, and new versus recurring status using case statements.

Learn to export full SQL query results from MySQL Workbench by removing row limits. Save as CSV, name your file, and verify data integrity.

Identify resurrected students by self-joining the subscriptions table, filtering deactivated states, and calculating days to resurrection; then export a CSV from workbench for Tableau reporting.

Build a bar chart of net revenue and refunds in tableau with monthly granularity from a csv, using a refunds t calculated field, and apply country and date filters.

Format and style a Tableau report to engage stakeholders. Use color palettes, custom colors, accessible options, and grid lines, plus clear axis titles and tooltips.

Create a customer churn line chart in Tableau by importing churn data and converting the month to a date. Display active, passive, and total churn on a dual axis.

Create a dashboard by combining revenue and churn sheets, fix size, and fit it into Tableau story. Publish the dashboard to Tableau Server and name it revenue and churn.

Create a Tableau combination chart showing new vs recurring revenue with side-by-side bars and a percentage line, using dual axes and table calculations for percent of total.

Visualize revenue by country using a map and bubble map in Tableau, demonstrate dual axis layering, and define calculated fields for lifetime value and average order value, with enhanced tooltips.

Generate a top ten revenue table by country in Tableau, using text tables, filters, and totals, while noting null values and applying a time filter.

Style revenue charts in Tableau by shading rows and headers and adjusting mark colors for readability, then combine the map and top-ten revenue chart into a dashboard titled revenue country.

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 an annual order frequency chart in Tableau using a bar and line dual axis to show first, second, and repeat purchases, and compare retention through a cohort analysis table.

Explore cohort analysis in Tableau by building a monthly cohorts table to track annual retention and resubscription rates, using calculated fields, color marks, and percent calculations.

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.

Compare churn rates to industry benchmarks and distinguish active and passive churn; note 2022 churn near 6% and connect improvements like gamified features and dunning to retention and satisfaction.

Analyze net revenue and churn to compare new and recurring revenue streams, explore campaign-driven spikes, and examine annual versus monthly plan retention.

Explore revenue by country on maps to identify top performers, with the US generating about half of total revenue, ahead of the UK, Canada, and other high-income markets.

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 monthly order frequency and cohort retention, from top subscribers to long-tail churn, and learn practical strategies like personalization, onboarding, incentives, and gamified rewards to boost retention.

Explore advanced options for analyzing customer churn with SQL and Tableau, including varied dashboard visualizations, data granularity options, cohort analysis, geographic insights, and logistic regression with CLV-based segments.

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.

Plan and write down meaningful questions the Tableau dashboard must answer, focusing on engagement, onboarding, and free versus paid student dynamics, guided by a solid action plan.

Explore how to measure student engagement in the complete Tableau analyst bootcamp 2025, including minutes watched, completion rate, exams, and career-track certificates, to design actionable dashboards.

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.

Continue sketching a multi-page Tableau dashboard with cohort analysis and retention curves, then visualize exams, certificates, and engagement metrics across career tracks using various charts and filters.