Professional Certificate in Digital Business Analysis
Business Analysis Planning and Strategy Analysis:
5 Feb, 6 Feb, 7 Feb 2024 | 9am-5.30pm | Classroom Learning
Requirement Modeling and Digital Solution Design:
15 Feb, 16 Feb 2024 | 9am-5.30pm | Online
Digital Solutioning and Delivery:
4 Mar, 5 Mar 2024 | 9am-5.30pm | Classroom Learning
Professional Certificate in Machine Learning Using Python
22 Nov, 23 Nov, 24 Nov 2023 | 9am-5.30pm | Online
Machine Learning in Python:
24 Oct, 25 Oct, 26 Oct 2023 | 9am-5.30pm | Online
Professional Certificate in Data Strategy and Storytelling
8 Nov, 17 Nov, 20 Nov 2023 | 9am – 5.30pm | Classroom Learning
Communicating Insights with Data Storytelling:
23 Nov, 24 Nov, 27 Nov 2023 | 9am – 5.30pm | Classroom Learning (Classes are fully booked)
28 Nov, 4 Dec, 8 Dec 2023 | 9am – 5.30pm | Classroom Learning
Duration: 19 Days
This Advanced Professional Certificate will equip learners with the following competencies:
- Learn what Business Analysis is & skillsets needed to be a Business Analyst.
- Learn data structures and programming constructs in Python and have a strong foundation in Python programming.
- Learn and apply the Python programming language for creating Machine Learning applications.
- Understand big data and how big data analytics can help organizations achieve a competitive advantage.
- Learn how to make strategic use of the data available in organizations.
- Learn how to communicate data insights through effective data storytelling.
Job Role Readiness
It will prepare learners in the following job roles to perform their responsibilities more effectively:
- Business Analyst
- Data Analyst
- Data Engineer
Who Should Attend
Professionals who plan to be a Data Analyst/ Business Analyst that is capable of integrating Business, Customer and Technology to produce digital products that the market needs.
At least a polytechnic diploma (or equivalent)
(Click their photos to view their short biographies)
Assoc Prof Danny Poo
Assoc Prof Danny Poo brings with him 35 years of Software Engineering and Information Technology and Management experience. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore. Prior to joining the University, Dr Poo was with the System Operations at DBSBank, Singapore.
A Steering Committee member of the Asia-Pacific Software Engineering Conference, Dr Poo is actively involved in Information Management and Healthcare Analytics research. A well-known speaker in seminars, Dr Poo has conducted numerous in-house training and consultancy for organizations, both locally and regionally. Dr Poo is the author of 5 books on Object-Oriented Software Engineering, Java Programming language and Enterprise JavaBeans.
Dr Poo notable teaching credentials include:
- Data Strategy
- Data StoryTelling
- Data Visualisation
- Data Analytics
- Machine Learning
- Data Management
- Data Governance
- Data Architecture
- Capstone Projects for Business Analytics
- Software Engineering
- Server-side Systems Design and Development
- Information Technology Project Management
- Health Informatics
- Healthcare Analytics
- Health Informatics Leadership.
- Deutsche Bank
- Standard Chartered Bank
- ST Electronic
- Monetary Authority of Singapore
- Infocomm Development Authority
- National Library Board
- Ministry of Manpower
- Nanyang Technological University
- Nanyang Polytechnic
- National University Hospital.
Dr Ai Xin
Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience on teaching Artificial Intelligence and Data Science courses, e.g. machine learning, deep learning, data mining and etc.
She graduated from NUS with a PhD degree on Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks.
She worked in BHP Billiton Marketing Asia for eight years and gained a lot of industry experience through different functions, e.g. risk management, supply chain management, sales and marketing planning and etc.
Dr Amirhassan Monajemi
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.
He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007.
Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.
Mr Jim Lim Shien Min
Mr Jim Lim Shien Min is the founder of 59stVentures, a socio-techno network focusing in leveraging expertise, experiences and connections of senior executives globally to contribute back to the society. He is currently also the healthcare sector lead for NCS tasked to build digital healthcare ecosystem and to expand NCS footprint regionally. Jim also sits in the board of startup companies in China, Taiwan, Singapore and India. Prior to this, he was CEO for Good Doctor Technology, a Joint-Venture between PingAn Good Doctor from China and Grab. He joined the company as first employee to setup the entire business in Indonesia and Singapore. Jim is currently also adjunct lecturer for NUS, SUSS, Huawei University and FinTech Academy.
Before Good Doctor, Jim was the Global Senior Director in Group Chief Transformation Office in Huawei Technologies and its Regional Chief Technology Officer for strategic digital transformation projects in APAC, focussing on digital transformation cross industries (e.g. Telco, Smart Nation/City, Retail, Healthcare, Logistics, Agriculture), domains (e.g. Cloud, IoT, Big Data, Mobile Money, Connectivity) and aspects (e.g. Business Modelling, Customer Journey, Design Thinking, Org. Change)
Prior to joining Huawei, Jim was the CBE (Client Business Executive) in Amdocs with full P&L responsibilities from sales, delivery and operations. Jim was with Amdocs for 9 years and was previously the Senior Director, Business Strategy and Sales Engineering in APAC, whom setup the regional delivery team; responsible for all accounts presales and strategic business development activities within Amdocs APAC. Jim was Techmahindra Presales and Delivery Group Head for APAC who set up its regional delivery centers and presales teams. Jim also established partnership with other vendors such as Huawei and Oracle while serving as Country Manager for Greater China. Prior to this role, Jim was Project and JV Manager and Senior Consultant in Accenture, with solid experiences in large-scale business transformation programs in SingTel, Telekom Malaysia and Starhub
With 20+ years of high tech and ICT industry experiences in Business, Customer & Project Management, Jim has proven track records in exceeding client/partners expectations and strong in providing business and strategic advice to complement the technicality of the initiatives and programs
Jim holds a MBA (Distinctions) from Manchester Business School (UK) and B. Eng (Hons) in Electrical and Electronics Engineering from Nanyang Technological University (Singapore). Jim is also a certified Project Management Professional (PMP) and a seasoned company spokesman for media and analysts. Jim is currently the Vice President for Cloud Security Alliance Singapore Chapter, a global mentor for PingAn Technology Innovation Center, an industry mentor for ICT with Young NTUC, a Senior Fellow appointed by Singapore University of Social Sciences (SUSS) and an Executive Education Fellow appointed by National University of Singapore (NUS).
Dr Yeo Wee Kiang
Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing. Previously, Dr Yeo was Adjunct Lecturer at the Department of Economics in the NUS Faculty of Arts and Social Sciences. Since 2019, he has been teaching the ECA5372 Big Data Analytics module as part of the Master of Economics coursework programme. Additionally, he was a part-time lecturer at Nanyang Business School in Nanyang Technological University where he imparted knowledge on Python programming and analytics to undergraduate students pursuing business studies. Prior to these roles, Dr Yeo served as the Lead Instructor (Data Science Immersive) at a New York-based commercial Continuing Education and Training (CET) provider. In that capacity, he taught aspiring adult learners in Hong Kong, Sydney, and Singapore who were eager to upskill or transition into new careers. Dr Yeo received his doctorate from National University of Singapore. For his PhD work, he focused his research on machine learning and data mining within a multinational pharmaceutical company. His area of specialization involved developing computational methods aimed at uncovering potential medicinal drug candidates. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore.
Ms Samantha Sow
Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics.
She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning.
Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore.
Her certifications include:
Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.
Tan Tzann Chang
Tzann has over 35 years of leadership and professional experience, spanning the technology, public service and higher education sectors with local, government and multi-national organisations.
He has served in varied roles, from general management, sales and customer acquisition, business development, and operations delivery oversight, to facilitating, lecturing and advisory.
He managed a client portfolio delivering over $10m of annual revenue while achieving high client satisfaction ratings regularly.
Tzann is also an experienced facilitator of over 15 years and constantly innovates in delivering great learning experiences in areas of business, technology and digital product strategy and management as well as IT finance, sourcing and project management. He has conducted over 200 in-person and online courses with over 4,500 local and overseas participants achieving course rating 4.0/5.0.
His past advisory engagements included business and technology governance and management, strategic sourcing, service delivery management, business start-up and e-government development.
He can be reached at LinkedIn.
Stage 1: Professional Certificate in Digital Business Analysis
- Business Analysis Planning and Strategy Analysis
- Requirement Modeling and Digital Solution Design
- Digital Solutioning and Delivery
Stage 2: Professional Certificate in Machine Learning Using Python
Stage 3: Professional Certificate in Data Strategy and Storytelling
Completion of Stages 1 to 3 curricula earns the participant an Advanced Professional Certificate in this programme.