Tableau Fundamentals Training Course

Duration 5 days 10 modules · 33 contact hours
Level Foundation to Intermediate Certificate on completion
Who attends Business Analyst, Data Analyst and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-BI-199

Before you join: Participants should be comfortable using spreadsheets, including sorting, filtering and basic formulas, and should understand the purpose of rows, columns and summary measures.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Business teams often hold useful data in spreadsheets, operational systems and databases but cannot turn it into timely, trusted analysis. Tableau enables analysts and report developers to connect data, define calculations, test patterns and present findings through interactive dashboards. The quality of the result depends on sound data preparation, correct aggregation, clear visual design and disciplined publishing controls.

This five-day Tableau Fundamentals course teaches participants to build business-ready visual analysis from source data through to published dashboards. Participants connect to files and relational data, prepare and combine tables, create calculations, apply filters and parameters, and select charts that fit the analytical question. The course also covers Level of Detail expressions, table calculations, mapping, dashboard actions, performance improvement, extract refreshes and Tableau Cloud or Tableau Server publishing.

Instructor-led delivery combines concise technical briefings with guided case work, group analysis and dashboard design tasks based on realistic reporting requirements. Participants work through the full Tableau workflow: assessing data grain, defining metrics, creating worksheets, assembling dashboards, validating results and planning publication. Each participant leaves with a reusable Tableau dashboard build plan, calculation reference materials, a data quality checklist and an application plan for a reporting requirement from their role. The course runs for five days, 08:30-16:30 each day, with approximately 6.5 contact hours daily, and is available in classrooms in 50+ cities or live online. Participants receive a certificate of completion.

The course suits professionals who need to create, improve or review Tableau reports rather than merely consume them. It is particularly relevant to analysts, reporting teams, finance professionals, operational managers and data practitioners who need dependable self-service reporting.

What you will be able to do

  • Connect Tableau to spreadsheets, text files and relational data sources
  • Prepare and combine data using unions, joins, relationships and Tableau Prep Builder
  • Build worksheets using dimensions, measures, Marks cards and appropriate chart types
  • Create calculated fields, parameters, filters and reference lines for business analysis
  • Apply Level of Detail expressions and table calculations without aggregation errors
  • Design interactive dashboards using actions, containers, tooltips and accessible visual hierarchy
  • Improve workbook performance through extract design, query review and mark reduction
  • Publish governed workbooks and data sources to Tableau Cloud or Tableau Server

Benefits of attending

For you

  • Build Tableau dashboards independently from connected source data
  • Diagnose aggregation errors before presenting misleading business results
  • Create reusable calculations for ratios, dates, variances and customer metrics
  • Present findings through interactive filters, tooltips and dashboard actions
  • Publish workbooks with clearer ownership, refresh and access requirements

For your organisation

  • Faster production of interactive management reporting from existing business data
  • Reduced dependence on static spreadsheet reporting and manual report assembly
  • More consistent metric definitions across dashboard authors and business teams
  • Fewer reporting errors caused by incorrect joins, aggregation and filtering
  • Better control of published Tableau content, permissions and refresh schedules

Course modules

10 modules over 5 days

Participants can identify core Tableau objects and connect appropriate business data sources.

  • Tableau product roles: Desktop authoring, Cloud publishing, Server deployment
  • Worksheet, dashboard, story and data-source objects distinguished by purpose
  • Connect to Excel, text files and relational database tables
  • Live connections versus extracts selected for refresh and performance needs
  • Data Interpreter used to repair headers, titles and cross-tab spreadsheets
  • Field data types, geographic roles and default properties inspected

Participants can prepare source data and combine tables while protecting correct row-level detail.

  • Assess data grain before combining transactions, budgets and reference tables
  • Rename fields and assign data types using the Data Source page
  • Union monthly files with matching column structures and consistent meanings
  • Join tables using inner, left, right and full outer joins
  • Relationships model fact and dimension tables without unnecessary row duplication
  • Tableau Prep Builder cleans, pivots and aggregates source data

Participants can build readable Tableau worksheets matched to defined business questions.

  • Show Me recommendations evaluated against analytical question and data structure
  • Dimensions and measures placed on Rows, Columns and Marks cards
  • Discrete headers and continuous axes selected for appropriate comparisons
  • Bar, line, scatter and crosstab views matched to question types
  • Color, size, label, detail and tooltip encode additional variables
  • Format panes control fonts, lines, shading and number presentation

Participants can create calculations and controls that support focused business analysis.

  • Create calculated fields using arithmetic, string, date and logical functions
  • IF, CASE, DATEPART and DATEDIFF calculations answer business questions
  • Build parameters for user-controlled measures, dates and scenario assumptions
  • Apply context, dimension and measure filters in the correct order
  • Reference lines, bands and distributions benchmark performance against targets
  • Quick table calculations produce running totals, differences and percentages

Participants can select the correct calculation method for metrics at different aggregation levels.

  • Level of Detail expressions define FIXED, INCLUDE and EXCLUDE aggregation scopes
  • FIXED calculations establish customer-level metrics independent of view detail
  • INCLUDE expressions calculate averages from finer-grained transactional values
  • EXCLUDE expressions remove selected dimensions from displayed aggregation levels
  • Table calculation addressing and partitioning diagnosed with Compute Using
  • Combine LOD expressions and table calculations without double-counting results

Participants can assemble worksheets into focused dashboards that support user decisions.

  • Plan dashboards around audience decisions, questions, metrics and actions
  • Use tiled and floating containers to control responsive layout
  • Dashboard actions filter, highlight, open target sheets and pass parameter values
  • Design tooltips with selected measures, definitions and relevant contextual detail
  • Apply visual hierarchy, preattentive attributes and accessible color contrast
  • Device Designer creates phone-specific layouts for published dashboards

Participants can build analytical views that reveal geographic, comparative and ranked patterns.

  • Assign geographic roles to country, state, city and postal fields
  • Generate symbol, filled and density maps from geographic dimensions
  • Build dual-axis charts with synchronized scales and clearly differentiated marks
  • Use sets to isolate top performers and dynamic membership
  • Create groups, hierarchies and drill paths for structured analysis
  • Explain trends with annotations, trend lines and forecast settings

Participants can improve workbook responsiveness and validate reporting content before publication.

  • Measure workbook performance with Tableau Performance Recording and query timings
  • Reduce marks, filters and high-cardinality dimensions to shorten render times
  • Choose extract aggregation and extract filters for efficient data access
  • Configure incremental extract refreshes where source data supports change tracking
  • Document metric definitions, source ownership and refresh expectations for users
  • Validate totals against source reports before publishing decisions

Participants can publish Tableau content with appropriate access, refresh and ownership controls.

  • Publish workbooks, data sources and extracts to Tableau Cloud or Server
  • Project permissions govern viewing, editing, downloading and data-source access
  • Apply role-based access through site roles, groups and project rules
  • Embed credentials and manage refresh schedules without exposing sensitive data
  • Subscriptions and data-driven alerts distribute scheduled insights to stakeholders
  • Certify trusted data sources and communicate workbook ownership clearly

Participants can plan a controlled Tableau build for a defined workplace reporting requirement.

  • Translate stakeholder requests into measurable questions, fields and dashboard views
  • Sketch a dashboard wireframe before building worksheets and interactions
  • Sequence data preparation, analysis, review, publishing and maintenance tasks
  • Use acceptance criteria to check accuracy, usability and decision relevance
  • Record an application plan with data, audience and delivery milestones
  • Identify next Tableau learning priorities in calculation, administration or visual design

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Tableau dashboard wireframe template
  2. Calculated field formula reference
  3. Data grain and join checklist
  4. Dashboard quality assurance checklist
  5. Workbook performance review guide
  6. Workplace Tableau application plan

Who should attend

  • Business Analyst — needs to turn operational data into decision-ready dashboards
  • Data Analyst — needs repeatable methods for analysing and presenting business data
  • Reporting Analyst — needs to replace static reports with interactive Tableau content
  • Finance Analyst — needs to analyse budgets, actuals and variances visually
  • Operations Manager — needs to monitor service, process and performance measures
  • BI Developer — needs a structured foundation in Tableau authoring and publishing

Skills and tools covered

Tableau data preparationCalculated field designInteractive dashboard buildingVisual analysisWorkbook performance tuningTableau content publishing

Tools and standards

Tableau Desktop, Tableau Prep Builder, Tableau Cloud, Tableau Server

How the course runs

Training methodology

The course uses short instructor briefings followed by guided Tableau build activities, case-based analysis and peer review of dashboard choices. Participants work with representative sales, finance and operational datasets to practise connecting data, testing calculations, selecting visual forms and designing interactions. Group discussions examine metric definitions, misleading visual patterns and publication decisions. Performance Recording, dashboard wireframes and data quality checks are applied throughout. The final module converts a workplace reporting requirement into a practical Tableau application plan.

Requirements and prerequisites

Participants should be comfortable using spreadsheets, including sorting, filtering and basic formulas, and should understand the purpose of rows, columns and summary measures. Experience working with business reports, operational data or management information is useful. Participants should be able to interpret common measures such as revenue, volume, cost, percentage and variance. No prior Tableau experience is required. SQL, programming, statistics, data modelling qualifications and prior dashboard design experience are not required. Participants should bring a laptop capable of running Tableau Desktop; access and installation requirements will be confirmed before the course.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

No prior Tableau experience is required. Participants should be comfortable using spreadsheets and interpreting common business measures such as revenue, cost, volume and percentage variance.

Bring a laptop capable of running Tableau Desktop and accessing course files. Installation, licensing and access requirements will be confirmed before the course.

The course is designed for analysts, report developers, finance professionals, operational managers and BI practitioners who need to create or improve Tableau reporting. It also suits managers who need to review dashboard design and data quality more effectively.

This course focuses on authoring worksheets and dashboards, preparing data, writing calculations and publishing governed content. It does not focus on server installation, enterprise platform administration, statistical modelling or data science methods.

Participants can use the dashboard wireframe, calculation reference, data quality checklist and application plan for a current reporting requirement. The methods apply to finance, sales, service, operational and programme reporting.

Each day runs from 08:30 to 16:30 and provides approximately 6.5 contact hours. Time is divided between instructor briefings, guided Tableau work, case analysis, group discussion, review and application planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.