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Data Engineering & AnalyticsCoreGuided practice

Tableau

Develop the skills to build a validated interactive analytical dashboard through a learning path centred on Tableau. Explore concepts, guided practice and an applied project.

6 modules6 topics24 hours
Course overview

Build practical Tableau skills.

What you’ll learn

Skills and knowledge developed in this course.

  • Data connections
  • Analytical calculations
  • Visual storytelling
  • Publishing and operations
  • Applied project: Build a validated interactive analytical dashboard
  • Tableau — validation and review

About this course

This course develops practical capability in Tableau. Its course-specific content covers Data connections, Analytical calculations, Visual storytelling, Publishing and operations, followed by an applied project focused on build a validated interactive analytical dashboard. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.

Who this is for

Administrators, developers and practitioners who work with Tableau or plan to take on responsibilities in this area.

Before you start

Basic computer literacy and a foundational understanding of data engineering & analytics. Prior experience with the named product helps with the practical exercises.

Applied learning outcome

Build a validated interactive analytical dashboard

Deliver build a validated interactive analytical dashboard. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.

Curriculum

Course content

6 modules · 6 topics

Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.

01

Data connections

  • Live versus extract connections
  • Relationships, joins and data preparation

Practical exerciseApply data connections to the build a validated interactive analytical dashboard and capture the validation evidence.

02

Analytical calculations

  • Dimensions, measures and aggregation
  • Calculated fields, table calculations and parameters

Practical exerciseApply analytical calculations to the build a validated interactive analytical dashboard and capture the validation evidence.

03

Visual storytelling

  • Charts, filters and dashboard actions
  • Layout, accessibility and misleading-chart checks

Practical exerciseApply visual storytelling to the build a validated interactive analytical dashboard and capture the validation evidence.

04

Publishing and operations

  • Permissions and refresh schedules
  • Workbook performance and data-validation checks

Practical exerciseApply publishing and operations to the build a validated interactive analytical dashboard and capture the validation evidence.

05

Applied project: Build a validated interactive analytical dashboard

  • Define inputs, assumptions and acceptance criteria for: Build a validated interactive analytical dashboard.
  • Implement the project using data connections, analytical calculations, visual storytelling, publishing and operations.

Practical exerciseBuild a validated interactive analytical dashboard.

06

Tableau — validation and review

  • Demonstrate the completed project against its acceptance criteria.
  • Exercise an invalid-input or failure scenario and document the observed result.

Practical exercisepresent the project evidence, limitations and a repeatable handover.

Technical references

These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.

Your path through the course

From understanding to application.

Progress by learning milestone. The schedule is agreed around your starting level and learning goals.

  1. 01
    Learning milestone 1 In progress

    Set the context

    Data connections · Analytical calculations

    Establish the Tableau scope, baseline concepts and operating assumptions.
  2. 02
    Learning milestone 2 In progress

    Build the working skills

    Visual storytelling · Publishing and operations

    Apply the core Tableau techniques in the course lab and record the result.
  3. 03
    Learning milestone 3 In progress

    Validate and handle exceptions

    Check expected behavior, investigate a failure case and capture evidence for build a validated interactive analytical dashboard.
  4. 04
    Learning milestone 4 In progress

    Deliver the applied project

    Complete build a validated interactive analytical dashboard, explain key decisions and identify a practical next step.
India market guide

Career outlook after this learning path

Indicative annual pay

Typical roles this roadmap can support, with broad salary ranges by relevant work experience.

Role0–3 years3–7 years7–12+ years
Data Engineer₹8–15 LPA₹17–28 LPA₹29–50 LPA

Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗

Secure course enrolment

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