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Corporate ESG and Sustainability

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Corporate ESG and Sustainability

Course Code: C752

11 Review(s) | Add Your Review

What's This Course About

ESG is the No. 1 topic investors want to discuss with boards of directors. As of 2020, almost 90% of publicly traded companies and 67% of privately-owned companies had embarked on ESG initiatives.. Additionally, 88% of institutional investors believe that companies that prioritize ESG initiatives represent better opportunities for long-term returns than companies that do not.

Investors, consumers, and employees are demanding that companies make positive ESG (environmental, social, and governance) impacts and the game has changed. Positively contributing to society and the environment is now a "must have." ESG frameworks have brought transparency, objectivity, and accountability to companies' environmental, social, and governance impacts.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Carbon Footprint Management for Sustainability

Course Fee

$600.00 (GST-exclusive)
$654.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1 ESG Sustainability Fundamentals

Sustainable economy

UN Sustainable Development Goals (SDG)

Overview of ESG

Topic 2 Climate Change & Sustainability

Overview of climate change

Paris agreement and Net Zero Commitment

Topic 3 Carbon Management & Carbon Footprint

Greenhouse Gases (GHGs)

Carbon footprint calculation

Carbon Tax and Carbon Credit

Strategies to reduce carbon footprint

Topic 4: Towards the Circular Economy

Overview of circular economy

10 Rs to reduce waste

Life cycle assessment (LCA)

Overview of EMS and ISO 14001:2015

Overview of green financing

Overview of sustainability standards and reporting

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Newly appointed Data Protection Officers 
  • Individuals seeking a career to become Data Protection Officers or wanting to possess data protection expertise
  • Employees of organisations setting up their PDPA compliance processes & systems
  • HR, Sales & Marketing, Compliance, Finance, Internal Auditors, IT personnels who handle personal data information in their organization

Trainers

Trainers

Richard Wan

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.

Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

Review

Customer Reviews (11)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 8/8/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Communication by trainer was clear, able to provide many examples to help understand the theoretical background, slides easy to understand, training started / ended on time and was well-structured (Posted on 8/8/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
/ (Posted on 5/10/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 5/10/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 5/10/2024)

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