Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
3 months
Duration
3 months
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Taught in
English
Taught in
English

About

The Python for Analytics programme from Emeritus Institute of Management 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.

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

We did our best, but couldn't find the next application deadline and start date information online.
More details

TBD

Language

English

Delivered

Online

Campus Location

  • Singapore, Singapore

What students do after studying

Join for free or log in to access our complete career info list.

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

Funding

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Our partners

Python for Analytics
Emeritus Institute of Management
Python for Analytics
-
Emeritus Institute of Management

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