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(11:30 AM - 06:30 PM Singapore time)
(11:30 AM - 06:30 PM Singapore time)
10 November 2021
3 Months, Online
5-7 hours per week
USD 1,200
Flexible payment available
Special group enrolment pricing
Following successful completion of the Python for Analytics programme, participants will be able to:
WHAT YOU WILL LEARN
The programme is divided into two sections: The first section features 5 modules on Python programming and concludes with a Lab Week. Section two comprises modules 7-10, centring on Data Analysis with Python.
Xiong Peng is currently a Lecturer in the Department of Analytics & Operations, NUS Business School. Prior to joining NUS Business School, he was a research staff at Texas A&M University...
More info
Eli Yi-Liang Tung is a Lecturer in the Department of Analytics and Operations at NUS Business School. As one of the core course instructors offering Python programming at NUS Business School...
More infoIn current global economies, data has become the foundation of solving business problems or making critical decisions. Data analytics empowered by Python programming skills will provide you, as a professional, as well as the organization you work for, a competitive edge in the market.
The Python for Analytics programme serves as a powerful tool for your professional development. Designed to provide you with a straightforward introduction to coding with Python, the programme will also teach you how to apply Python functions and packages to evaluate data and extract essential insights.
Python has become the most popular programming language in the data science world, and is used by global companies.* Python has also proven to be beneficial to financial advisors, data journalists, digital marketers, and product managers responsible for researching market opportunities.
(*Source – IEEE Spectrum)
Professionals who want a hands-on understanding of Python and Analytics may benefit from the programme, including.
Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS Business School.
Get CertifiedFlexible payment options available. Click here to know more.
Xiong Peng is currently a Lecturer in the Department of Analytics & Operations, NUS Business School. Prior to joining NUS Business School, he was a research staff at Texas A&M University. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. He is the developer of XProg and RSOME, two analytics software packages for modeling optimization problems. He has a Ph.D. in Electrical Engineering from the National University of Singapore, Singapore, and a B.Eng. in Electrical Engineering from Zhejiang University, China.
Eli Yi-Liang Tung is a Lecturer in the Department of Analytics and Operations at NUS Business School. As one of the core course instructors offering Python programming at NUS Business School, Eli has taught the fundamental Business Analytics module for five years. Eli has collaborated with industry partners to solve real business projects by applying analytical techniques (demand forecasts for patient arrivals in the emergency departments of major public hospitals in Singapore and product remanufacturing management in a closed-loop supply chain environment.) He has a Ph.D. from the Division of Biostatistics, Graduate Institute of Epidemiology, National Taiwan University, Taiwan; an M.S., from the Department of Industrial Engineering and Management, National Chiao Tung University, Taiwan; and a B.S., from the Department of Public Health, National Taiwan University, Taiwan.