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Python for Business Analytics
National University of Singapore Business School

Python for Business Analytics

National University of Singapore Business School, Singapore
3 daysDuration
in-personFormat
EnglishLanguage
Data & AITopic

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No upcoming dates are listed right now. Register your interest and National University of Singapore Business School will let you know when the next cohort opens.

About This Program

Technological innovations in recent years has greatly reshaped the face of business. Data analysis, in particular, is playing an increasingly crucial role in all perspectives of business decision making. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. Through a series of case studies and hands-on exercises, this course will provide you with the fundamentals of Python programming (such as variables, data types, control structures, functions, and more), together with basic analytical skills including data collection, data cleaning and management, and data visualisation. This course will address the basics of Python programming and simple numerical analysis, covering scraping data from websites, data cleaning and preparation, and exploring patterns and trends by descriptive analysis and data visualisations. Case studies and practical exercises are provided throughout this course to demonstrate how the skills set above can help to gain business insights from data to solve real-world problems.

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

  • All individuals interested in using Python programming as an analytical tool for data exploration and business decision making.
  • No programming experience is required. Participants are expected to bring their own laptops.

Benefits

  • Learn Python fundamentals including variables, data types, control structures, and functions for business data work.
  • Collect and clean data, including scraping from websites, to prepare it for analysis.
  • Apply descriptive analysis and data visualisations to explore patterns and trends and extract business insights.

What You'll Learn

  • Python fundamentals: variables, data types, control structures, and functions.
  • Data collection: scraping data from websites.
  • Data cleaning and preparation for analysis.
  • Descriptive analysis and data visualisations to explore patterns and trends.
  • Case studies and practical exercises demonstrating how Python skills help gain business insights from data to solve real-world problems.

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

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  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.

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