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(11:30 AM - 06:30 PM Singapore time)
30 June 2022
3 Months, Online
8-10 hours per week
USD 1,400
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 (The initial two weeks of learning will be warm-up coding practices before the actual programme starts). The second section comprises modules 7-10, centring on Data Analysis with Python.
For more than 50 years, NUS Business School has offered a rigorous, relevant and rewarding business education to outstanding students from across the world.
Founded in the same year that Singapore gained independence, NUS Business School stands today among the world’s leading business schools. It is distinctive for offering the best of global business knowledge with deep Asian insights, preparing students to lead Asian businesses to international success and to help global businesses succeed in Asia.
NUS (Asia) 2022
QS World University Rankings(The NUS MBA)
Financial Times Global Rankings 2021
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 organisation 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.
Read about participants who have completed the programme and shared their certificates on LinkedIn.
Click on the certificate to see what they have to say about the programme.
(These are LinkedIn posts & will require you to log in to LinkedIn to see them).
When you make the decision to further your professional development, you are not only making a commitment to your own career advancement, but to the success of your organisation. And because you’ll be enhancing the skills and knowledge you will use to impact the way you do business, asking your employer to help fund your continuing education is a smart move.
Receiving financial assistance from an employer is more common than you may think, but it can feel rather intimidating. To help, here are some simple steps you can follow to make the request:
Do Your Research
Prior to asking for financial assistance, you need to make sure you can justify your programme of choice and how it will enhance your work performance.
Showcase Tangible Benefits
Get specific—discuss with your employer how your newly gained expertise will directly improve a process, service, strategy or any other aspect of your organisation that needs improving.
Start the Conversation
Don’t wait for your employer to broach the subject and present you with potential professional development opportunities. Once you’ve finished your research, send your employer an email to set up a meeting to discuss the programme you have in mind.
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.