The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Gain hands-on Python coding skills for practical business applications. No prior programming knowledge is required.
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20 December 2023
3 months, online
8-10 hours per week
Our participants tell us that taking this programme together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Apply before 1 December 2023 and avail early bird tuition assistance of USD 50.
Use code APAC50ALL9153 while applying.
WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.
Following successful completion of the Python for Analytics programme, participants will be able to:
Pre-Recorded Video Lectures* from NUS faculty with for self-paced learning interspersed with live lectures from renowned NUS faculty and industry practitioners
18 Live online Office hour sessions with Programme Leaders
13 Discussion Boards
10 Assignments
10 Activities
Hands-on coding with Python
2 faculty live sessions
Progressive capstone project
The programme highlights mentioned above are subject to change based on faculty availability and the desired outcomes of the programme.
*This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
**Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirmed closer to the start of the programme.
*This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
**Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirmed closer to the start of the programme.
The bonus content on Generative AI is optional and does not count towards your final evaluation.
All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
The tools will be taught by teaching faculty, industry practitioners, or linked to relevant knowledge bases for your reference and self-guided learning
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) 2023
NUS (Global) 2024
Xiong Peng
Eli Yi-Liang Tung
Xiong Peng
Senior Lecturer at NUS Business School
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
Lecturer at NUS Business School
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.
Note - Programme Faculty for the live sessions might change due to unavoidable circumstances, and revised details will be shared closer to the programme start date.
In 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).
Note: *All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by 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.
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All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Asian Institute of Management.
*Emeritus or the institute does not guarantee availability of any live faculty session recordings.
● Module 1: Introduction to Generative AI
● Module 2: Generative AI Models
● Module 3: Working with Generative AI
● Module 4: Coding
Masterclass to address cutting-edge tools and latest developments
Note: The above highlights are included as a part of bonus content. The bonus content is optional and does not count towards your final evaluation.
Please note that the bonus content is provided solely for self-study and does not come with any assistance
Please note that the bonus content is provided by Emeritus and is not part of the NUS Business School syllabus solely for self-study and does not come with any assistance.” or similar, under the section”Generative AI by Emeritus (Optional).
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed.
Emeritus provides the following career preparation services:
● Resume building videos
● Interview preparation videos
● Linkedln profile building videos
● Interview guidebooks
● Glossary of resume templates
Please note:
NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here
Flexible payment options available.
