Python For Analytics

Gain hands-on Python coding skills for practical business applications. No prior programming knowledge is required.

  • Progressive capstone project
  • Personalised support from industry leaders
  • Masterclasses with industry experts covering topics like Gen AI and many more
Country/Region
Work Experience

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.

Future-Proof Your Career: Invest in Your Success

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!

What Will This Programme Do For You?

Following successful completion of the Python for Analytics programme, participants will be able to:

LP - APAC - NUSB-PYAN - What Will This Programme Do For You? Image

Programme Highlights

Pre-Recorded Video Lectures

Pre-Recorded Video Lectures* from NUS faculty for self-paced learning interspersed with live lectures from industry practitioners

18 Live online Office hour sessions with Programme Leaders

Live office hour sessions and personalized support from Industry Leaders

13 Discussion Boards

10+ Discussion Boards

10 Assignments

10+ Assignments

10 Activities

10+ Activities

Hands-on coding with Python

Hands-on coding with Python enhanced with Generative AI to elevate your coding skills.

2 faculty / program leader live sessions

4 masterclasses with industry experts on emerging technologies including AI and Generative AI

Progressive capstone project

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.

Programme Modules

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.

Technological Tools

Numpy
Numpy

Pandas
Pandas

Pandas
Matplotlib

Seaborn
Seaborn

Python
Python

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.

Case-studies

Newsvendor case
Newsvendor case:

Case Study using Python programme for profitability analysis.

Singapore's Major Public Hospitals
Singapore's Major Public Hospitals:

Analysis of patient dataset of Singapore's major public hospitals.

Condo market in Singapore
Condo market in Singapore:

Analysis of condo prices and market in Singapore using data visualisation.

Monthly Salary Distribution
Monthly Salary Distribution:

Analysis of the monthly salary of full-time employees using Python simulation to perform random sampling.

Programme Faculty

XIONG PENG
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...

ELI YI-LIANG TUNG
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 ...

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.

Why Enrol for the Python For Analytics Programme?

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)

Who is this Programme for?

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.

Testimonials

The programme has practical examples and really helpful Professors & Programme Leaders.
Corrine Png
Regional Head of Equities Research, AIA Investment Management
The programme structure is built to accommodate for students without any programming background.
Meng Meng Wong
Process Engineer, Micron Semiconductor Asia Pte Ltd
Lecturers and tutors are experienced and supportive and support team is also very helpful.
Wai Ho Man
Audit senior, PwC Hong Kong
You get accessibility to learning material, videos and assignments until a year after the course is completed.
Satya Sreekanth
Vice President, Bank of America

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).

Past Participant Profiles

Countries

Work Experience

Industries

Seeking Employer Assistance

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.

Certificate

Certificate

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.

Emeritus Career Services

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

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options are available.

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