NUS Business School - Python For Analytics

This short programme will allow you to gain hands-on Python coding skills for practical business applications.
  • 1400 $
  • 3 Months
  • Online
  • 01 September 2022
 

Course Information

Current global economies require data that serves as the foundation for solving business problems or making critical decisions. Python programming is considered a powerful tool contributing to the competitive edge in the market. This programme will teach how to apply Python functions and packages to evaluate data and extract essential insights.

Python as the most popular programming language in the data science world used by global companies across industries proved to be beneficial to financial advisors, data journalists, digital marketers, and product managers responsible for researching market opportunities.

 

About the University / School

Emeritus Insights is a microlearning platform with a library of 5,000+ lessons to help you upskill in key areas like leadership, communication, marketing, negotiation and others. They partner with top universities to make world class education accesible globally. Most programmes offered are online.

 

Learning format

It is an online programme, spread over 3 months, requiring dedicating 8-10 hours weekly. Programme is divided into two sections, each one consisting of 5 modules.

The format of the programme is structured around

  • Live online Lectures
  • Assignments
  • Discussion boards
  • Real World Case analysis
  • Case studies
  • Hands-on coding with Python
 

Who is it for?

This short programme has been designed for professionals who want a hands-on understanding of Python and Analytics including managers across domains and industries, including digital marketing, product development and CRM, business or financial analysts, software or systems engineers.

This programme is also for small business owners and entrepreneurs, career changers looking to hone their data science skillset.

Apply before:

22 August 2022

Enquire for this programme

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