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:
- Objects, Variables and Assignment Statements
- Coding Style and Jupyter Notebook
- Data Types and Data Type Conversion
- Conditional Statements
- Strings
- Iterations and Loops
- Lists
- Dictionaries
- Tuples
- Functions, Modules, Packages
- Numerical Summaries
- Data Visualisation Using Packages
- Data Manipulation Using Pandas
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
TBD
Language
Delivered
Campus Location
- Singapore, Singapore
Disciplines
Data Analytics View 3 other Short Courses in Data Analytics in SingaporeWhat students do after studying
Academic 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
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.
Tuition Fees
Additional Details
- TBD