Advanced Tableau for Climate Professionals

Course details

This course is designed for climate professionals who want to master advanced Tableau techniques to track emissions, analyze trends, and build carbon emission tracking (net-zero) dashboards. Instructor Harim Jung shows you how to use Level of Detail (LOD) calculations, dynamic parameters, and dual-axis charts to build powerful, data-rich visuals. Explore the essentials of blending emissions, GDP, and population data to compute and visualize key metrics like CO2 per capita and CO2 per GDP. Along the way, learn how to create interactive dashboards with year-over-year (YoY) KPI cards, sector breakdowns, and regional filters to support high-impact reporting. By the end of this course, you’ll be equipped with the skills you need to automate insights, optimize climate visuals, and lead data-driven sustainability decisions.

Learning objectives
Construct advanced KPI dashboards using YoY comparisons, dual-axis charts, and LOD expressions to track net-zero progress.
Implement dynamic parameters and context filters in Tableau to automate climate target comparisons across time and region.
Analyze emissions efficiency by blending GHG, GDP, and population data to calculate CO2 per GDP and per capita across countries.
Evaluate and refine interactive dashboards using KPI card logic, small multiples, and industry-level breakdowns to support high-level climate decisions.

Concepts

0. Introduction

01 - Advanced climate analytics with Tableau
02 - What s different in this advanced course

1. Getting Started with Climate Dashboards

03 - How equity and efficiency shape your climate KPIs
04 - What you ll build - A climate decision dashboard

2. Preparing and Connecting Climate Data in Tableau

05 - Join and prepare your climate datasets in Tableau
06 - Organize fields by KPI purpose
07 - Preview how year selection works (SY and MY)
08 - Explore energy CO trends by country with basic filters

3. Dynamic KPIs with LOD and Parameters

09 - Build a base CO emissions KPI for energy
10 - Fix latest CO emissions using LOD expressions
11 - Enable dynamic year selection with parameters
12 - Calculate YoY change in CO emissions
13 - Benchmark CO emissions against income-group average
14 - Calculate each country s global CO share
15 - Compare CO shares across two years
16 - Compare CO share with peer average
17 - Challenge - Build CO per capita and CO per GDP KPI set
18 - Solution - Build CO per capita and CO per GDP KPI set

4. Creating Custom Views with Parameters

19 - Switch CO metrics dynamically with parameter
20 - Filter CO map by selected year with parameter
21 - Forecast energy use and efficiency with dual-axis charts
22 - Display CO YoY change with arrow icons
23 - Update bar labels with selected-year and max-year values
24 - Challenge - Upward and downward arrows
25 - Solution - Upward and downward arrows

5. Designing KPI Cards and Assembling the Dashboard

26 - Explore KPI card structure for emissions
27 - Build your top KPI card - YoY and values
28 - Build your bottom KPI card - Trends and labels
29 - Design your climate dashboard layout for storytelling
30 - Make your climate dashboard fully interactive
31 - Polish, publish, and share your CO dashboard

Conclusion

32 - Your climate story continues