About the Course
Organizations today face unprecedented pressure to demonstrate environmental stewardship through verifiable data rather than aspirational statements. This course addresses the core challenge of fragmented environmental data by teaching you how to build a unified analytical ecosystem. You will develop the skills to demonstrate five critical domain capabilities: automated carbon footprinting, water scarcity risk mapping, waste stream optimization, energy intensity benchmarking, and supply chain transparency. By integrating named standards such as the GRI® Standards and SASB® into your analytical workflows, you ensure that your outputs meet global disclosure requirements. The curriculum transitions from foundational data cleaning for environmental variables to intermediate predictive modeling for resource consumption.
The training approach focuses on turning scattered operational logs into structured intelligence. You will learn to use Python for environmental data manipulation, Tableau or Power BI for sustainability storytelling, and specialized LCA software logic. Specifically, you will practice calculating Scope 3 emissions across complex value chains, designing ESG scorecards that align with TCFD® recommendations, and implementing real-time IoT monitoring for facility energy use. This course is built for professionals who must deliver results under constraints of data silos, evolving regulatory landscapes, and the urgent need for digital transformation in sustainability functions. You will move from being a consumer of sustainability reports to an architect of the data systems that power them.
Target Audience
This program is essential for professionals tasked with quantifying environmental impact and managing corporate sustainability disclosures.
This course is designed for:
- Sustainability Data Analysts managing corporate carbon footprint databases
- Environmental Compliance Officers overseeing ISO 14001 monitoring systems
- ESG Reporting Managers responsible for GRI and SASB disclosures
- Operations Efficiency Leads targeting energy and water reduction goals
- Supply Chain Sustainability Specialists tracking Scope 3 emissions data
- Environmental Engineers designing resource recovery and waste systems
- Climate Risk Analysts modeling physical and transition risk scenarios
- Corporate Strategy Managers integrating sustainability KPIs into business units
- Digital Transformation Leads automating environmental data collection workflows
- Public Sector Environmental Officers monitoring regional resource consumption trends
Course Objectives
This course equips you to design, execute, and report environmental data initiatives that improve resource efficiency, ensure compliance, and support strategic decarbonization.
By the end of this course, you'll be able to:
- Calculate Scope 1, 2, and 3 emissions using GHG Protocol® methodologies
- Build automated sustainability dashboards using Power BI or Tableau tools
- Analyze Life Cycle Assessment (LCA) data to identify product-level impacts
- Apply ISO 14064-1 standards to establish credible environmental reporting boundaries
- Map supply chain environmental risks using geospatial data and IoT inputs
- Evaluate energy intensity metrics against industry-specific Science Based Targets (SBTi)
- Design ESG disclosure matrices aligned with CSRD and TCFD® requirements
- Synthesize complex environmental datasets into actionable executive-level strategy roadmaps
Requirements & Prerequisites
Participants should have a basic understanding of environmental concepts and experience using Microsoft Excel for data analysis. Familiarity with corporate sustainability reporting is beneficial but not required. No prior programming knowledge is necessary, as technical tools will be introduced at a foundational level.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn sustainability aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on carbon footprint calculation using real-world GHG Protocol® activity data
- Scenario simulation requiring decarbonization decisions under strict budget constraints
- Audit diagnostic using an ISO 14064-3 verification checklist for reports
- Stakeholder mapping exercise for CSRD double-materiality assessment reporting chains
- Case study analysis from manufacturing, logistics, and energy sector data
- Group workshop producing a functional sustainability dashboard in Power BI
- Reflection exercise benchmarking current organizational data maturity against industry leaders
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Analytics for Environmental Sustainability Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master cutting-edge tools to drive sustainability through data-driven decisions.
- Learn from real-world case studies focusing on ecological data impacts.
- Equip yourself with analytical skills vital for tomorrow's green economies.
Expert Delivery
- Courses taught by leading experts in both data science and environmental studies.
- Benefit from guest lectures by innovators in environmental analytics.
- Gain insights from professionals who've implemented sustainable solutions globally.
Career Advancement
- Enhance your resume with highly sought-after sustainability analytics expertise.
- Open doors to roles in top eco-conscious firms with exclusive recruiter sessions.
- Step into leadership positions in the growing field of environmental science.
Tools and platforms relevant to this field
Examples Sweden teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
-
Normative Normative ABA Stockholm-based carbon accounting engine used by Swedish enterprises to automate Scope 1, 2, and 3 emissions calculations with science-based accuracy.
-
Position Green Position Green ABA leading Nordic ESG platform designed for CSRD compliance, ESRS mapping, and automated sustainability data collection across complex organizational structures.
-
Worldfavor Worldfavor ABUsed by Swedish multinationals for supply chain transparency and ESG due diligence, enabling automated data collection from thousands of global suppliers.
-
SustainLab SustainLab ABA SaaS platform that automates the processing of sustainability data into actionable KPIs, frequently used by Swedish SMEs and mid-market firms.
-
Snowflake Data Cloud Snowflake Inc.Widely adopted by large Swedish firms like Scania and Vattenfall to host and analyze massive environmental datasets in a scalable, cloud-native environment.
Real-World Case Studies from Sweden
Real organisations putting these methods into practice — what they did, what changed, and the measurable outcome. No hypothetical scenarios.
-
Recycled Textile Databank Collaboration 2021IKEA & H&M Group
IKEA and H&M Group collaborated on a large-scale data project to create a digital databank for recycled textiles. The project analyzed over 70,000 data points to identify chemical contamination risks in recycled cotton, wool, and polyester, enabling data-driven circularity decisions.
Created a shared digital platform for transparency in recycled material flows and established a harmonized hazard assessment methodology for the textile industry.
View source -
Accelerating Decarbonization through Data Governance 2024Vattenfall
Vattenfall utilized the Alation Data Intelligence Platform to break down data silos across its energy production and distribution units. By implementing active data governance, the company centralized its sustainability metrics to support its goal of 'fossil-free living within one generation.'
Reduced proof-of-concept (POC) time-to-value for new sustainability projects by 81% (from 3-4 months to 3-4 weeks) and improved data literacy for 300+ monthly users.
View source
