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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

    Next Available Cohort

    Choose your preferred start date

    Jul 15 - Jul 17, 2026
    3 days · in-person · Instructor-Led · Singapore Campus
    Open
    $3,270

    All-inclusive program fee

    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

      Compare programs

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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.

      Apply now →

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