Overview
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.
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.
About NUS Business School
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.
Certificate
Upon successful completion of the Python for Analytics programme from Emeritus Institute of Management, participants will be awarded a verified digital certificate by NUS Business School.
Programme Structure
Courses include:
- Programming and Business Analytics
- Coding Style and Jupyter Notebook
- Objects, Variables and Assignment Statements
- Data Types and Data Type Conversion
- Conditional Statements
- Iterations and Loops
- Strings
Audience
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
Lecturers
- Xiong Peng - Faculty at NUS Business School
- Eli Yi-Liang Tung - Faculty at NUS Business School
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
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More details
Apply before 15 July and avail early bird tuition assistance of USD 100.
Language
English
Delivered
Online
Disciplines
Computer Sciences Software Engineering Data Analytics View 6 other Short Courses in Software Engineering in SingaporeAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
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
Tuition Fee
To always see correct tuition fees
-
International
1400 USD/fullTuition FeeBased on the tuition of 1400 USD for the full programme during 3 months. -
National
1400 USD/fullTuition FeeBased on the tuition of 1400 USD for the full programme during 3 months.
- Flexible payment available
Funding
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