Gain hands-on Python coding skills for practical business applications. No prior programming knowledge is required.
Please note that the programme duration includes a break week for Christmas from 24th Dec 2024 to 1st Jan 2025, and for Chinese New Year from 28th Jan 2025 to 3rd Feb 2025.
Emeritus and NUS unite to offer an exclusive opportunity. Enrol before 06 December 2024 using this code APAC100ALL5924 and get USD100 program fee benefit. Limited seats available. Reserve your spot today!
Following successful completion of the Python for Analytics programme, participants will be able to:
Pre-Recorded Video Lectures* from NUS faculty for self-paced learning interspersed with live lectures from industry practitioners
Live office hour sessions and personalized support from Industry Leaders
10+ Discussion Boards
10+ Assignments
10+ Activities
Hands-on coding with Python enhanced with Generative AI to elevate your coding skills.
4 masterclasses with industry experts on emerging technologies including AI and Generative AI
Progressive capstone project
Note:
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 industry expert. 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.
Note:
This programme is primarily self-paced online with some live sessions conducted by industry experts. 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.
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...
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 ...
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.
Managers across domains and industries, including digital marketing, product development and CRM
Business or financial analysts, software or systems engineers
Small business owners and entrepreneurs, career changers looking to hone their data science skillset
*Although no prior coding experience is required, non-tech participants are encouraged to put additional effort and complete the set of pre-readings provided to prepare for the course.
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.
Note:
All certificate images are for illustrative purposes only and may be subject to change at the discretion of the NUS Business School.
*Emeritus or the institute does not guarantee availability of any live faculty session recordings.
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 are available.
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