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Python for Analytics
National University of Singapore Business School

Python for Analytics

National University of Singapore Business School, Singapore
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Data & AITopic

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online · Instructor-Led
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$1,800

All-inclusive program fee

About This Program

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 will serve as the first step in your data science learning journey and does not require you to have prior programming knowledge, as this programme will teach you these skills. Designed to provide you with a straightforward introduction to essential Python programming for analytics purposes, the programme will also teach you how to gain essential insights by evaluating data. Python has become the most popular programming language in the data science world, and is used by global companies. Python has proven to be beneficial to financial advisors, data journalists, digital marketers, and product managers responsible for researching market opportunities. This online programme is delivered in collaboration with Emeritus Institute of Management. For registration or more information, please visit the Emeritus website.

Why National University of Singapore Business School?

NUS Business School sits at the intersection of Asian markets and global management thinking in a way few schools can match. Its location in Singapore, one of the world's principal financial and trade hubs, gives executive participants direct access to Southeast Asian deal flows, regulatory environments, and corporate networks that are genuinely difficult to replicate anywhere else. The school's Asia-focused research depth, combined with strong ties to multinational corporations headquartered in the region, makes it a practical choice for leaders who need to operate across Asia-Pacific.

Your Profile

  • Financial advisors, data journalists, digital marketers, and product managers who want to use Python for market research.
  • Professionals with no prior programming experience who want to take their first step into a data science learning journey.
  • Business professionals seeking to use data analytics to support decision-making.

Benefits

  • Learn Python fundamentals and how to apply them to collect, clean, and analyse business data.
  • Gain practical skills in data visualisation and descriptive analysis to identify patterns and trends.
  • Build a foundation for further data science study with no prior programming background required.

What You'll Learn

  • Python programming fundamentals: variables, data types, control structures, and functions.
  • Data collection, including scraping data from websites.
  • Data cleaning and management.
  • Data visualisation.
  • Exploring patterns and trends by descriptive analysis and data visualisations.
  • Case studies and practical exercises demonstrating how Python skills help gain business insights from data.

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

    Compare programs

    Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

    Compare programs →
  3. 3

    Contact the school

    Send a message directly to National University of Singapore Business School via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through National University of Singapore Business School's official application portal.

    Apply now →

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