Making Fast Decisions with Business Analytics: 6 Sep 2022 | 9am-5.30pm | Online
Optimizing Customers’ Experience with FinTech Strategy: 8 Sep 2022 | 9am-5.30pm | Online
Using Business Analytics to Answer Business Questions: 13 Sep, 16 Sep 2022 | 9am-5.30pm | Online
Fundamentals of Investing Leveraging Technology: 20 Sep, 23 Sep 2022 | 9am-5.30pm | Online
Duration: 6 Days
In this course, you will learn how to identify strategic business questions, acquire data, propose next actions, and monetize the impact of data-driven decision making in the business world. At the end of the programme, you will be equipped with the practical skills of data visualisation and fundamental understanding of machine learning in the industries of Finance, Retail and Supply Chain.
(Click their photos to view their short biographies)
Assoc Prof Keith Barrett Carter
Assoc Prof Keith Barrett Carter’s mission is to “Help others succeed.” through his lecturing, writing, inventing, and mentoring. He also delivers results by leading several Big Data projects in retail, fintech, supply chain, and education. Personally, he leads a men’s bible study and with his wife a family bible study.
He asks, “Why do people with good facts, make bad decisions?”
He is an associate professor at the NUS School of Computing, where he has two mandates: teaching and consulting. He has a passion for engaging and inspiring students to achieve more. He teaches Supply Chain Visualization, and Purchasing and Materials Management and connects students with companies at all levels to bring the theory to life in the business world.
He consults senior business leaders on strategy, actionable intelligence, design thinking, and human capital. He is consultant to the president of Hong Leong Finance, the managing director of Bollore, Non-Exec Director of Datarama a Fintech startup, past Principal Advisor to KPMG and past Non-Exec Director of Mentorica (a mobile Big Data solution provider).
He is invited to speak around the world including prestigious venues TEDx, Gartner, IBM, KPMG, SingHealth, Media & Infocomm Development Authority, Financial Times, The Economist and more.
From 1999 to 2012 Keith worked for the Estee Lauder Companies, Global Supply Chain Center of Excellence, tasked to lead the strategic changes to supply chain to improve the overall performance of the company. Keith established and led Global Supply Chain initiatives: Supply Chain Intelligence, Knowledge Management, Transformation Governance, and Data Management. All to achieve end-to-end supply chain visibility.
From 1995 to 1998 Keith Carter worked as a consultant for Andersen Consulting in New York, now Accenture. His clients included: Goldman Sachs, St Paul Reinsurance, NY State, and Smith Barney.
Keith holds an MBA from Cornell University and a Bachelor’s degree in Electrical and Computer Systems Engineering from Rensselaer Polytechnic and is certified in procurement and counter-terrorism.
Accenture • KPMG • DBS • Hong Leong Finance • Citibank • ANZ • China Construction Bank • DSM • Panasonic • Sompo Japan Nipponkoa • P&G • SAP • Qlik • BW Offshore • New York State • Gucci • Bollore • Google • Rio Tinto • Human Capital Leadership Institute
Mr Shashank Shekhar Tripathi
Mr Shashank Shekhar Tripathi is an Instructor at the Department of Information Systems and Analytics (DISA) at the School of computing, National University of Singapore. He teaches “Application development for business analytics” and “Systematic trading” to the undergraduate students. He holds the designation Chartered Market Technician (CMT)and Certified Financial Technician(CFTe) . Prior to this, Shashank worked as a Senior Software Engineer at the NUS Fintech Lab where he worked on developing applications related to financial technology. He has a vast experience in oil and gas industry in the domain of corporate finance, financial evaluations, and simulations. He has a huge interest in financial markets, blockchain technology and data analytics. He researches extensively to design, develop and test strategies for algo trading utilizing machine learning, fundamental analysis, and technical analysis. He is an experienced trainer and consultant of data visualization, robotic process automation, and algo trading.
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email firstname.lastname@example.org
To register, click Register
Making Fast Decisions with Business Analytics: TGS-2020504952 (Synchronous e-learning)
Optimizing Customers’ Experience with FinTech Strategy: TGS-2020504951 (Synchronous e-learning)
Fundamentals of Investing Leveraging Technology: TGS-2020504949 (Synchronous e-learning)
Using Business Analytics to Answer Business Questions: TGS-2020504947 (Synchronous e-learning)
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