AI and Analytics in Business Valuation and Finance

To stay ahead in the age of digital transformation, it is essential for finance and accounting professionals to embrace technology such as artificial intelligence (AI) and machine learning (ML) and empower yourself with the latest knowledge and skills to be better prepared for the workplace of the future.

Designed with a strong focus on practical applications of AI in finance and valuation, this insightful 5-day course provides you with a good understanding of the fundamentals of analytics, AI and ML and their capabilities in solving real world business problems. Get insights on how AI and analytics can be applied in the context of finance and valuation, such as fraud detection, risk management, auditing and compliance, valuation, investment analysis, and automation of data analysis. Case studies and hands-on sessions will be incorporated to reinforce your learning and application.

In this beginner-friendly AI for business course, the “intelligence” behind AI, the tools available, as well as the latest trends and applications, including generative AI such as ChatGPT will be discussed. You will also understand the basics of R and Python Programming, including essential AI algorithms on regression, classification and neural networks (used intensively in generative AI). You will learn to apply them to perform rapid data analysis, auto-generate decision rules, create neural networks and data visualization.

Upon completion, you will be familiar with the basic AI terminologies, the process of developing AI and analytics solutions and the evaluation of proposed solutions. With the new digital knowledge and skills gained, you will feel more confident to embrace AI and analytics for business or engage with stakeholders to explore the adoption of AI in your organisation.

Deeper insights with AI

Gain deeper insights and make better forecasts and decisions with AI

Acquire in-demand AI and analytics skills

Acquire in-demand AI and analytics skills with application-oriented, hands-on sessions

Real-world Business Applications

Real-world Business Applications (e.g. fraud detection, financial modelling investment analysis, etc.)


Key Takeaways:

  • Understand the fundamentals and applications of analytics, AI and machine learning and harness the power of these technologies to solve real-world problems.
  • Understand the basics of R and Python programming and create basic AI models in regression, classification and neural networks.
  • Learn to apply these models to perform rapid data analysis, auto-generate decision rules, create neural networks (used intensively in generative AI) and data visualization.
  • Become more competent and confident to adopt AI and analytics at work for greater efficiency and better decision-making and business planning.
OverviewTopics Covered
Day 1: 
  • Fundamentals of Analytics, AI and Machine Learning
  • Applications and potential of AI and Analytics
  • AI and Analytics Tools
  • Basic Scripting with R and Python
Day 2:

  • Risk Factor Analysis with Logistic Regression
  • Introduction to Neural Networks
  • Applications in Business and Finance
Day 3:

  • Machine Learning with CART
  • Model Overfitting Risk Mitigation
  • Auto-handling of Missing Values
  • Applications in Business and Finance
Day 4:
  • Creating a panel of experts with Random Forest
  • Introduction to Generative AI (eg ChatGPT)
  • Applications in Business and Finance
Day 5:
  • AI and Analytics Proof of Concept (POC)
  • Communication of Insights
  • Data Visualization with Dashboard
  • Application Assignment

 

Analysts, finance managers, investment managers, auditors and other finance/accounting professionals who are keen to learn how to integrate AI and analytics into their work to improve efficiency and support decision making and planning

This beginner-friendly course is suitable for any professional who is looking to gain a strong fundamental understanding of AI, as well as those with more advanced knowledge who want to brush up on their basics.

Training is conducted from 9am to 5 pm unless specified otherwise.  

Admission ongoing
2, 9, 12, 16, 19 Oct 2024 (Apply here)

Admission closed
17, 20, 24, 27 Apr and 3 May 2024 (Fully subscribed) 

Venue:
NTU@one-north, Executive Centre

Address: 11 Slim Barracks Rise (off North Buona Vista Road), Singapore 138664
MRT: Buona Vista Station (Exit D)

Nanyang Executive Education reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances or prevailing government advisory.

Full programme fee: S$ 4,600 (before GST)

Fees payable after SkillsFuture Singapore (SSG) funding:

Programme Fee In SGD
 Fees BEFORE
funding & GST
Fees AFTER
funding & 9% GST

Singapore Citizens (aged 21-39) / PR (aged ≥21)
70% Funding
​$4,600$1,504.20
Singapore Citizens (aged ≥40)
MCES1 - up to 90%
​$4,600$584.20
SME-sponsored Singapore Citizens / PR
ETSS2​ - up to 90%
​$4,600$584.20
International Participants​$4,600$5,014.00

1. For more information about the SkillsFuture Mid-career Enhanced Subsidy (MCES) scheme.
2. For more information about the Enhanced Training Support for Small & Medium Enterprises (ETSS) scheme. 

SkillsFuture Credit 
On top of the above funding, Singapore Citizens, aged 25 and above and self-sponsored may use their SkillsFuture Credit to defray part of the nett course fee. 

Participants do not need to contact SkillsFuture to apply for funding prior to course registration. NTU will facilitate the funding paperwork for both self and company-sponsored participants. Participants will be invoiced the nett amount after funding and GST.

Funding Requirements:
- Participant must achieve at least 75% attendance for the programme. 
- Participant must complete and pass all assignments / assessments as assigned by the trainer.

 

Neumann Chew

Dr. Neumann Chew C.H. 

Senior Lecturer, Nanyang Business School, NTU Singapore

Neumann Chew C.H. is Senior Lecturer at NTU Nanyang Business School and leads Data Science/Machine Learning projects with companies. Previously, he was Principal and Head of Analytics at SAS Institute where he designed and lead advanced analytics solution for government agencies, banks, insurance companies, hospitals and MNCs. Prior to SAS Institute, he was Head of Research & Statistics at Ministry of Health, and Professor of Financial Mathematics in Dubai Academic City.

He had published the textbook Artificial Intelligence, Analytics and Data Science, currently used in undergraduate Analytics specialization and Masters of Business Analytics programme.

Please click here to read more about Dr Chew.