To create new job opportunities for yourself, traditional workplace workers will need to advance their...
CERTIFIED DATA ANALYST
Up to 50% Funding For Eleigble Students
More Than 33 Runs Conducted
CERTIFICATION DESIGN
This certification model is uniquely designed by founders of Research Room (rR)*, who are industry leaders in Data Science, Artificial Intelligence, Machine Learning and Deep Learning. The programme is well-supported by a network of experienced Data Scientists and Analysts. Course is short and compact, targeted to get you industry ready and certified within the shortest time, working around your busy schedule.
* Research Room (rR) Pte Ltd is an AI consulting and implementation group that was co-founded by a team of Singaporean Ph.Ds who have worked on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to thousands of clients and organizations.
WHAT WILL YOU LEARN
- Learn essential Python programming techniques for data analysis.
- Learn essential data wrangling techniques – import, inspect, clean, merge, and transform data.
- Learn essential data exploration techniques – perform statistical modeling for analysis.
- Learn essential machine learning techniques to augment statistical models.
- Learn how to present data and insights with visualizations.
- Understand essential data privacy and security issues and the steps to secure personal data.
- Apply all the learned techniques on real-world datasets and use-cases.
Industry Leaders
Instructors @ Metaskills are industry leaders and have over decades of researching and practical industry experience within their respective disciplines such as Digital Marketing, E-commerce, amongst others.
Passionate Instructors
Our instructors are carefully selected and have more than 30 years of professional teaching experience at corporate training, executive training, Masters and even Doctoral levels. They are reputed for their passion and clarity in simplifying difficult concepts for entry level learners.
Industry recognised
Every certification is meticulously designed to ensure high industry relevancy and are well supported by a network of reputable organisations with the aim of developing talents to place our students at the forefront of the 4th Industrial Revolution.
WHERE SOME OF OUR STUDENTS WORK
FACULTY
JCube-Metaskills Institute are premier Digital Science Institutes in Asia that is made up of the most respected and passionate practitioners and leaders, many who are Ph.Ds, in the field of digital science and transformation. Our passion is to support individuals towards Digital Skills Mastery in high job demand areas such as Data Science, Artificial Intelligence, Machine Learning, Web Technologies, amongst others.
With over 8 years of practical experience working on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to thousands of clients and organizations, our faculty and consultants, together with the organizations that we develop solutions for, have developed training programmes and certification standards that are high and relevant for existing and future industries.
Our faculty has collectively trained more than 10,000 professionals and teach Data Science at renowned Universities at Undergraduate, Masters and Doctoral Levels and deliver corporate training for hundreds of organizations, government and private corporations.
All our trainers are carefully selected and are known to be the best teachers who are patient and experienced in simplifying difficult concepts for learners to grasp easily. We are therefore confident that every certified individual will be well equipped to either advance their careers in their existing jobs or find a new opportunities in Digital Jobs at top organizations. In fact, placement opportunities and scholarships will also be available through our sponsoring organisations for selected candidates at a later stage of certification.
DR JACK HONG
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence | Leadership
Co-founder of Research Room, an A.I. consulting and development outfit that delivers decision-making capabilities for complex use-cases, Dr. Hong specializes in developing prediction and decision engines with the use of alternative data. Some of his notable works include omni-channel content personalization systems, manpower resource optimization using deep reinforcement learning, real estate valuation engines, and highly personalized portfolio strategies using applied artificial intelligence (AI). He is also AI Technology Consultant at Certis Group, Data Science Advisor at Vertex Holdings, advising on Human Conversational AI, Predictive Resource Allocation, Super-Intelligence in Natural Language Capabilities in Finance. He is also CEO of Integrum Global. Adjunct faculty with the Singapore Management University (SMU), and has been actively teaching undergraduate, postgraduate, and professional programmes since 2015. He is also the lead faculty for the highly acclaimed “Leading Digital Transformation” course for MBA students.
DR KE JINGHAO
Expertise: Data Analytics | Data Science | Artificial Intelligence | Machine Learning | Business Intelligence
Dr. Ke is the co-founder of Research Room, a highly trained team of Data Scientists and Analysts with domain expertise in economics, finance, strategy, and business management. He has provided management consulting for and managed teams to help thousands of individuals, SMEs, MNCs and various Singapore Government agencies deliver bespoke implementations of data-driven turn-key technology solutions in areas of complex prediction, decision making, machine learning, deep learning, amongst others. Dr. Ke is also co-founder of JCube Institute and a full-stack programmer well versed in various analytics stacks such as Python, R, SAS, Power BI, Microsoft Analytics and Stata. On top of his work, he is adjunct faculty with the Singapore Management University in his spare time and teaches at Professional, Masters and Undergraduate levels.
DR JONATHAN KHOO
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence
Dr Jonathan Khoo is a full-stack app developer who has successfully delivered many projects on bespoke implementations of data driven strategies that deliver complex prediction and decision-making capabilities to many large organizations. Dr Khoo has published papers in Genetic Programming and a working paper in Energy Prediction. He obtained his Ph.D. at SMU where his dissertation thesis investigates corporate finance through the lens of social network graph analytics, where he found a statistically significant “ownership centrality” effect in firm performance. Prior to that, he completed his Masters in Industrial Engineering and Operations Research at the University of Michigan (Ann Arbor), a year after he received degrees with Highest Honors in Economics and Summa Cum Laude in Electrical Engineering. He is an alumnus of Raffles Institution and Hwa Chong Institution. Dr. Ke is also co-founder of JCube Institute and a full-stack programmer well versed in various analytics stacks such as Python, R, SAS, Power BI, Microsoft Analytics and Stata. On top of his work, he is adjunct faculty with the Singapore Management University in his spare time and teaches at Professional, Masters and Undergraduate levels.
MS EVELYN WONG
Expertise: Six Sigma | Scrum | Data Science | Machine Learning | Business Intelligence | Digital Skills | Microsoft Excel
After graduating from JCube’s Certified Data Analyst (CDA) course, taught and coached by Dr Jack Hong, Evelyn currently leads at Certis Group as a Data Governance Analyst to deploy and enforce policies and procedures that ensure accurate and high data quality throughout its lifecycle. Besides being adept in software development, data analysis, machine learning, natural language programming and applications, Evelyn has an extensive background in corporate functions, including Compliance, Business Development, Sales & Marketing and Project Management at 3M, Agilent Technologies and ST Engineering. Evelyn is also a Certified Lean Six Sigma Green Belt and Certified Scrum Master. She is also well-versed in applying the advanced elements of the Lean Six Sigma, Agile and Scrum Methodologies in any organisation.
MR VICTOR TAN
Expertise: Algorithmic Trading | Wealth Management | Financial Markets | Fiscal Planning | Data Science | Machine Learning
Victor used to run his own firm with more than 20 years of financial experience in sales and marketing financial products and risk management, fiscal planning for high-net-worth individuals in the greater China region. For the past 4 years, he has self -funded his other passion which is algorithmic trading in the trillion dollar forex and gold market. Currently he has a consistent and successful portfolio in the market using proprietary trading systems that he has developed to run on auto mode using machine learning especially in deep reinforcement learning on time series analysis. He runs a lot of statistical analysis on currencies and commodities market and then writes algorithms and programs using C++ and Python.
DURATION
- Total training hours: 75 hours (5 Blocks)
- This programme is conducted over 5 blocks where each block is conducted over 2 weekday evenings (7 pm to 10.30 pm) and a full Saturday (9 am to 6 pm).
November 2022 Run 29
Block 1 (15 hours)
Class 1: 17/11/22 (7 p.m to 10 p.m Thur)
Class 2: 18/11/22 (7 p.m to 10 p.m Fri)
Class 3: 19/11/22 (9 a.m to 6 p.m Sat)
Block 2: (15 hours)
Class 1: 1/12/22 (7 p.m to 10 p.m Thur)
Class 2: 2/12/22 (7 p.m to 10 p.m Fri)
Class 3: 3/12/22 (9 a.m to 6 p.m Sat)
Block 3: (15 hours)
Class 1: 8/12/22 (7 p.m to 10 p.m Thur)
Class 2: 9/12/22 (7 p.m to 10 p.m Fri)
Class 3: 10/12/22 (9 a.m to 6 p.m Sat)
Block 4: (15 hours)
Class 1: 15/12/22 (7 p.m to 10 p.m Thur)
Class 2: 16/12/22 (7 p.m to 10 p.m Fri)
Class 3: 17/12/22 (9 a.m to 6 p.m Sat)
Block 5: (15 hours)
Class 1: 20/12/22 (6:30 p.m to 10:30 p.m Tue)
Class 2: 21/12/22 (6:30 p.m to 10:30 p.m Wed)
Class 3: 27/12/22 (6:30 p.m to 10:30 p.m Tue)
Class 4: 28/12/22 (6:30 p.m to 10:30 p.m Wed)
October 2022 Run 28
Block 1 (15 hours)
Class 1: 13/10/22 (7 p.m to 10 p.m Thur)
Class 2: 14/10/22 (7 p.m to 10 p.m Fri)
Class 3: 15/10/22 (9 a.m to 6 p.m Sat)
Block 2: (15 hours)
Class 1: 27/10/22 (7 p.m to 10 p.m Thur)
Class 2: 28/10/22 (7 p.m to 10 p.m Fri)
Class 3: 29/10/22 (9 a.m to 6 p.m Sat)
Block 3: (15 hours)
Class 1: 10/11/22 (7 p.m to 10 p.m Thur)
Class 2: 11/11/22 (7 p.m to 10 p.m Fri)
Class 3: 12/11/22 (9 a.m to 6 p.m Sat)
Block 4: (15 hours)
Class 1: 24/11/22 (7 p.m to 10 p.m Thur)
Class 2: 25/11/22 (7 p.m to 10 p.m Fri)
Class 3: 26/11/22 (9 a.m to 6 p.m Sat)
Block 5: (15 hours)
Class 1: 29/11/22 (6:30 p.m to 10:30 p.m Tue)
Class 2: 30/11/22 (6:30 p.m to 10:30 p.m Wed)
Class 3: 06/12/22 (6:30 p.m to 10:30 p.m Tue)
Class 4: 07/12/22 (6:30 p.m to 10:30 p.m Wed)
September 2022 Run 27
Block 1 (15 hours)
Class 1: 22/09/22 (7 p.m to 10 p.m Thur)
Class 2: 23/09/22 (7 p.m to 10 p.m Fri)
Class 3: 24/09/22 (9 a.m to 6 p.m Sat)
Block 2: (15 hours)
Class 1: 06/10/22 (7 p.m to 10 p.m Thur)
Class 2: 07/10/22 (7 p.m to 10 p.m Fri)
Class 3: 08/10/22 (9 a.m to 6 p.m Sat)
Block 3: (15 hours)
Class 1: 20/10/22 (7 p.m to 10 p.m Thur)
Class 2: 21/10/22 (7 p.m to 10 p.m Fri)
Class 3: 22/10/22 (9 a.m to 6 p.m Sat)
Block 4: (15 hours)
Class 1: 03/11/22 (7 p.m to 10 p.m Thur)
Class 2: 04/11/22 (7 p.m to 10 p.m Fri)
Class 3: 05/11/22 (9 a.m to 6 p.m Sat)
Block 5: (15 hours)
Class 1: 10/11/22 (6:30 p.m to 10:30 p.m Tue)
Class 2: 09/11/22 (6:30 p.m to 10:30 p.m Wed)
Class 3: 15/11/22 (6:30 p.m to 10:30 p.m Tue)
Class 4: 16/11/22 (6:30 p.m to 10:30 p.m Wed)
Block 1 (15 hours)
Class 1: 18/08/22 (7 p.m to 10 p.m Thur)
Class 2: 19/08/22 (7 p.m to 10 p.m Fri)
Class 3: 20/08/22 (9 a.m to 6 p.m Sat)
Block 2: (15 hours)
Class 1: 01/09/22 (7 p.m to 10 p.m Thur)
Class 2: 02/09/22 (7 p.m to 10 p.m Fri)
Class 3: 03/09/22 (9 a.m to 6 p.m Sat)
Block 3: (15 hours)
Class 1: 15/09/22 (7 p.m to 10 p.m Thur)
Class 2: 16/09/22 (7 p.m to 10 p.m Fri)
Class 3: 17/09/22 (9 a.m to 6 p.m Sat)
Block 4: (15 hours)
Class 1: 29/09/22 (7 p.m to 10 p.m Thur)
Class 2: 30/09/22 (7 p.m to 10 p.m Fri)
Class 3: 01/10/22 (9 a.m to 6 p.m Sat)
Block 5: (15 hours)
Class 1: 04/10/22 (6:30 p.m to 10:30 p.m Tue)
Class 2: 05/10/22 (6:30 p.m to 10:30 p.m Wed)
Class 3: 11/10/22 (6:30 p.m to 10:30 p.m Tue)
Class 4: 12/10/22 (6:30 p.m to 10:30 p.m Wed)
Block 1 (15 hours)
Class 1: 28/07/22 (7 p.m to 10 p.m)
Class 2: 29/07/22 (7 p.m to 10 p.m)
Class 3: 30/07/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 11/08/22 (7 p.m to 10 p.m)
Class 2: 12/08/22 (7 p.m to 10 p.m)
Class 3: 13/08/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 25/08/22 (7 p.m to 10 p.m)
Class 2: 26/08/22 (7 p.m to 10 p.m)
Class 3: 27/08/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 08/09/22 (7 p.m to 10 p.m)
Class 2: 09/09/22 (7 p.m to 10 p.m)
Class 3: 10/09/22 (9 a.m to 6 p.m)
Block 5: (15 hours)
13/09/2022 (6:30 p.m to 10:30 p.m Tue)
14/09/2022 (6:30 p.m to 10:30 p.m Wed)
20/09/2022 (6:30 p.m to 10:30 p.m Tue)
21/09/2022 (6:30 p.m to 10:30 p.m Wed)
Block 1 (15 hours)
Class 1: 23/06/22 (7 p.m to 10 p.m)
Class 2: 24/06/22 (7 p.m to 10 p.m)
Class 3: 25/06/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 07/07/22 (7 p.m to 10 p.m)
Class 2: 08/07/22 (7 p.m to 10 p.m)
Class 3: 09/07/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 21/07/22 (7 p.m to 10 p.m)
Class 2: 22/07/22 (7 p.m to 10 p.m)
Class 3: 23/07/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 04/08/22 (7 p.m to 10 p.m)
Class 2: 05/08/22 (7 p.m to 10 p.m)
Class 3: 06/08/22 (9 a.m to 6 p.m)
Block 5: (15 hours)
16/08/2022 (6:30 p.m to 10:30 p.m Tue)
17/08/2022 (6:30 p.m to 10:30 p.m Wed)
23/08/2022 (6:30 p.m to 10:30 p.m Tue)
24/08/2022 (6:30 p.m to 10:30 p.m Wed)
Block 1 (15 hours)
Class 1: 19/05/22 (7 p.m to 10 p.m)
Class 2: 20/05/22 (7 p.m to 10 p.m)
Class 3: 21/05/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 02/06/22 (7 p.m to 10 p.m)
Class 2: 03/06/22 (7 p.m to 10 p.m)
Class 3: 04/06/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 16/06/22 (7 p.m to 10 p.m)
Class 2: 17/06/22 (7 p.m to 10 p.m)
Class 3: 18/06/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 30/06/22 (7 p.m to 10 p.m)
Class 2: 01/07/22 (7 p.m to 10 p.m)
Class 3: 02/07/22 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 31/03/22 (7 p.m to 10 p.m)
Class 2: 01/04/22 (7 p.m to 10 p.m)
Class 3: 02/04/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 14/04/22 (7 p.m to 10 p.m)
Class 2: 15/04/22 (7 p.m to 10 p.m)
Class 3: 16/04/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 12/05/22 (7 p.m to 10 p.m)
Class 2: 13/05/22 (7 p.m to 10 p.m)
Class 3: 14/05/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 26/05/22 (7 p.m to 10 p.m)
Class 2: 27/05/22 (7 p.m to 10 p.m)
Class 3: 28/05/22 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 10/03/22 (7 p.m to 10 p.m)
Class 2: 11/03/22 (7 p.m to 10 p.m)
Class 3: 12/03/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 24/03/22 (7 p.m to 10 p.m)
Class 2: 25/03/22 (7 p.m to 10 p.m)
Class 3: 26/03/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 07/04/22 (7 p.m to 10 p.m)
Class 2: 08/04/22 (7 p.m to 10 p.m)
Class 3: 09/04/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 21/04/22 (7 p.m to 10 p.m)
Class 2: 22/04/22 (7 p.m to 10 p.m)
Class 3: 23/04/22 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 06/01/22 (7 p.m to 10 p.m)
Class 2: 07/01/22 (7 p.m to 10 p.m)
Class 3: 08/01/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 20/01/22 (7 p.m to 10 p.m)
Class 2: 21/01/22 (7 p.m to 10 p.m)
Class 3: 22/01/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 06/01/22 (7 p.m to 10 p.m)
Class 2: 07/01/22 (7 p.m to 10 p.m)
Class 3: 08/01/22 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 20/01/22 (7 p.m to 10 p.m)
Class 2: 21/01/22 (7 p.m to 10 p.m)
Class 3: 22/01/22 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 11/11/21 (7 p.m to 10 p.m)
Class 2: 12/11/21 (7 p.m to 10 p.m)
Class 3: 13/11/21 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 25/11/21 (7 p.m to 10 p.m)
Class 2: 26/11/21 (7 p.m to 10 p.m)
Class 3: 27/11/21 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 07/10/21 (7 p.m to 10 p.m)
Class 2: 08/10/21 (7 p.m to 10 p.m)
Class 3: 09/10/21 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 21/10/21 (7 p.m to 10 p.m)
Class 2: 22/10/21 (7 p.m to 10 p.m)
Class 3: 23/10/21 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 04/11/21 (7 p.m to 10 p.m)
Class 2: 05/11/21 (7 p.m to 10 p.m)
Class 3: 06/11/21 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 18/11/21 (7 p.m to 10 p.m)
Class 2: 19/11/21 (7 p.m to 10 p.m)
Class 3: 20/11/21 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 09/09/21 (7 p.m to 10 p.m)
Class 2: 10/09/21 (7 p.m to 10 p.m)
Class 3: 11/09/21 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 23/09/21 (7 p.m to 10 p.m)
Class 2: 24/09/21 (7 p.m to 10 p.m)
Class 3: 25/09/21 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 04/11/21 (7 p.m to 10 p.m)
Class 2: 05/11/21 (7 p.m to 10 p.m)
Class 3: 06/11/21 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 18/11/21 (7 p.m to 10 p.m)
Class 2: 19/11/21 (7 p.m to 10 p.m)
Class 3: 20/11/21 (9 a.m to 6 p.m)
Block 1 (15 hours)
Class 1: 12/08/21 (7 p.m to 10 p.m)
Class 2: 13/08/21 (7 p.m to 10 p.m)
Class 3: 14/08/21 (9 a.m to 6 p.m)
Block 2: (15 hours)
Class 1: 26/08/21 (7 p.m to 10 p.m)
Class 2: 37/08/21 (7 p.m to 10 p.m)
Class 3: 28/08/21 (9 a.m to 6 p.m)
Block 3: (15 hours)
Class 1: 30/09/21 (7 p.m to 10 p.m)
Class 2: 01/10/21 (7 p.m to 10 p.m)
Class 3: 02/10/21 (9 a.m to 6 p.m)
Block 4: (15 hours)
Class 1: 14/10/21 (7 p.m to 10 p.m)
Class 2: 15/10/21 (7 p.m to 10 p.m)
Class 3: 16/10/21 (9 a.m to 6 p.m)
COURSE FEES
Normal Price SGD 4,500
Fee includes Certified Data Analyst (Foundation)
- For company-supported Singaporeans and PRs, participants are eligible for e2i grant of 70% and will need to pay nett fee of S$1,350. Please note that participants will be required to show documentation of meeting at least one of the three requirements after completing the course to be eligible for the funding:-
- Job retention of 2 months; or
- Re-appointment (promotion, expansion of jobscope or job title change)
- For self-sponsored individuals (other nationality), participants will need to pay only S$4,500
Our consultants will be happy to share with you further on the financing arrangements. Please whatsapp us (Consultant: JJ) at +65 9690 0470
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LEARN FROM VETERAN DATA SCIENTISTS A.I. EXPERTS AND FINANCIAL TRADING MASTERS
JCube faculty have collectively trained more than 10,000 professionals are among the most respected and passionate practitioners and leaders in the field of digital science and transformation. Their expertise provides the highest quality of instruction to learners. Faculty also teach Data Science at renowned Universities at Undergraduate, Masters and Doctoral Levels and are known to be the best teachers who are patient and experienced in simplifying difficult concepts for learners to grasp easily
Name: Dr Jack Hong
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence | Leadership
Co-founder of Research Room, an A.I. consulting and development outfit that delivers decision-making capabilities for complex use-cases, Dr. Hong specializes in developing prediction and decision engines with the use of alternative data.
Some of his notable works include omni-channel content personalization systems, manpower resource optimization using deep reinforcement learning, real estate valuation engines, and highly personalized portfolio strategies using applied artificial intelligence (AI). He is also AI Technology Consultant at Certis Group, Data Science Advisor at Vertex Holdings, advising on Human Conversational AI, Predictive Resource Allocation, Super-Intelligence in Natural Language Capabilities in Finance. He is also CEO of Integrum Global. Adjunct faculty with the Singapore Management University (SMU), and has been actively teaching undergraduate, postgraduate, and professional programmes since 2015. He is also the lead faculty for the highly acclaimed “Leading Digital Transformation” course for MBA students.
Name: Dr Ke Jinghao
Expertise: Data Analytics | Data Science | Artificial Intelligence | Machine Learning | Business Intelligence | Power BI | Excel
Dr. Ke is the co-founder of Research Room, a highly trained team of Data Scientists and Analysts with domain expertise in economics, finance, strategy, and business management. He has provided management consulting for and managed teams to help thousands of individuals, SMEs, MNCs and various Singapore Government agencies deliver bespoke implementations of data-driven turn-key technology solutions in areas of complex prediction, decision making, machine learning, deep learning, amongst others.
Dr. Ke is also co-founder of JCube Institute and a full-stack programmer well versed in various analytics stacks such as Python, R, SAS, Power BI, Microsoft Analytics and Stata. On top of his work, he is adjunct faculty with the Singapore Management University in his spare time and teaches at Professional, Masters and Undergraduate levels.
Name: Dr Jonathan Khoo
Expertise: Data Science | Artificial Intelligence | Machine Learning | Deep Learning | Business Intelligence
Dr Jonathan Khoo is a full-stack app developer who has successfully delivered many projects on bespoke implementations of data driven strategies that deliver complex prediction and decision-making capabilities to many large organizations.
Dr Khoo has published papers in Genetic Programming and a working paper in Energy Prediction. He obtained his Ph.D. at SMU where his dissertation thesis investigates corporate finance through the lens of social network graph analytics, where he found a statistically significant “ownership centrality” effect in firm performance.
Prior to that, he completed his Masters in Industrial Engineering and Operations Research at the University of Michigan (Ann Arbor), a year after he received degrees with Highest Honors in Economics and Summa Cum Laude in Electrical Engineering. He is an alumnus of Raffles Institution and Hwa Chong Institution.
Name: Ms Evelyn Wong
Expertise: Six Sigma | Scrum | Data Science | Machine Learning | Business Intelligence | Digital Skills | Microsoft Excel
After graduating from JCube’s Certified Data Analyst (CDA) course, taught and coached by Dr Jack Hong, Evelyn currently leads at Certis Group as a Data Governance Analyst to deploy and enforce policies and procedures that ensure accurate and high data quality throughout its lifecycle.
Besides being adept in software development, data analysis, machine learning, natural language programming and applications, Evelyn has an extensive background in corporate functions, including Compliance, Business Development, Sales & Marketing and Project Management at 3M, Agilent Technologies and ST Engineering.
Evelyn is also a Certified Lean Six Sigma Green Belt and Certified Scrum Master. She is also well-versed in applying the advanced elements of the Lean Six Sigma, Agile and Scrum Methodologies in any organisation.
Name: Mr Victor Tan
Expertise: Algorithmic Trading | Wealth Management | Financial Markets | Fiscal Planning | Data Science | Machine Learning
Victor used to run his own firm with more than 20 years of financial experience in sales and marketing financial products and risk management, fiscal planning for high-net-worth individuals in the greater China region. For the past 4 years, he has self -funded his other passion which is algorithmic trading in the trillion dollar forex and gold market.
Currently he has a consistent and successful portfolio in the market using proprietary trading systems that he has developed to run on auto mode using machine learning especially in deep reinforcement learning on time series analysis. He runs a lot of statistical analysis on currencies and commodities market and then writes algorithms and programs using C++ and Python.