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What's Included

  • Data Modelling: Build clean, structured models for powerplant order analysis tasks.

  • Toxicity Analysis: Assess chemical toxicity levels to create impactful safety insights.

  • Dashboard Design: Develop interactive Tableau dashboards for operational and safety decisions.

  • Data Deployment: Publish dashboards to Tableau Online for stakeholder consumption access.

  • End-to-End Workflow: Gain full skills from raw data to final online reporting.
  • Data Set

    Powerplant stock order dataset including product details, toxicity levels, supplier data, order dates, delivery dates, costs, and storage locations.

  • 🖼️ Collection of High-Resolution Images for Dashboards

    Access a curated collection of high-quality AI-generated images. Perfect for enhancing your dashboard designs, adding visual flair, or customizing your projects.

  • 📊 Complete Tableau Workbook Included

    Get the fully built Tableau workbook with dashboards. Study its structure, customize it, or add it to your portfolio to impress employers.

Full Project Life Cycle

From Data Inspection, to Data Analysis, Dashboard Creation and Tableau Online Publishing

Data Cleaning:
Prepare and cleanse raw order data for accurate analysis tasks.

Calculated Fields:
Create new metrics to enhance insights within Tableau dashboards easily.

Visual Best Practices:
Apply effective design principles to communicate insights clearly and professionally.

Publishing Workflows:
Understand secure deployment processes for dashboards to Tableau Online environments.

Stakeholder Reporting:
Build reports tailored for safety, procurement, and operational decision-making teams.



Course Curriculum

    1. Workfiles

    2. Introduction

    3. Bringing the Data In

    1. Line Charts

    2. Bar Charts

    3. Big A** Numbers a.k.a. BAN

    4. Map

    5. Final Styling

    6. Formatting Bars

    7. Line Formatting

    8. Final Formating

    1. Deployment

About this course

  • 12 lessons
  • 1.5 hours of video content

Data Dictionary Included

📘 Why a Data Dictionary Matters:

A data dictionary is essential for understanding the structure and meaning of each field in your dataset. It ensures consistency, improves collaboration, and makes your analysis easier to follow—especially when sharing with employers or peers.