Dates:
Descriptive Analytics: 2 May, 3 May, 5 May 2023 | 9am-5.30pm | Classroom Learning
Applied Analytics Using Predictive Modelling: 22 May, 24 May, 26 May 2023 | 9am-5.30pm | Classroom Learning
Prescriptive Analytics – From Data to Optimal Course of Action: 30 May 2023 | 9am-5.30pm | Classroom Learning
Course Objectives
This Professional Certificate will equip learners with the following competencies:
- Identify, analyse and solve critical business problems using analytics
- Design and evaluate algorithms to drive organisational decisions and insights using descriptive, predictive and prescriptive analytics
- Understand and apply fundamental methods, frameworks and techniques of analytics to make sense of data and make informed business decisions
- Acquire competency in using business analytics tools in their organisations
Job Role Readiness
This Professional Certificate will prepare learners in the following job roles to perform their responsibilities more effectively:
- Data Analysts/Associate Data Engineer
Who Should Attend
Professionals who are keen to explore work opportunities in analytics.
Prerequisites
At least a polytechnic diploma.
Course Conveners
(Click their photos to view their short biographies)
Ms Samantha Sow
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.
Course Fees
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
Applied Analytics using Predictive Modelling: TGS-2019507053 (Classroom Learning)
Descriptive Analytics: TGS-2019507052 (Classroom Learning)
Prescriptive Analytics – From Data to Optimal Course of Action: TGS-2022015667 (Classroom Learning) / TGS-2022015676 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.