Data Mining for Sharper Decision Making

SIM Professional Development

What are the topics?

SIM Professional Development

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Who should attend

  • (Level 2) Supervisors, Executive, & Emerging Managers
  • (Level 3) New Managers
  • (Level 4) Managers

About the course

This module deep-dive into the data mining process, data mining models to support business decisions and its deployment.

Prerequisite

The learners of this programme are expected to have prior knowledge in:

  • Basic knowledge of programming and/or scripting principles (e.g. using variables, logical operators, if ... then control, loops, ...)
  • Intermediate knowledge of data concepts (e.g. equivalent of intermediate to advanced knowledge of using spreadsheets)
  • Basic to intermediate knowledge of how to retrieve data from relational databases using SQL
  • Basic to intermediate business mathematics and statistics or equivalent

Benefits to You

Business Outcomes

Participants will understand data mining models and assist their organisations in formulating decisions from these models.

Learning Outcomes

Upon completion of this module, the learner will be able to:

  • apply the data mining process to a business case
  • select suitable data models to support decision making
  • create, test and train models of regression, association, clustering, classification analytics
  • deploy data models using CRISP-DM

Programme Outline

Data Mining Process

  • Association Analysis
  • Clustering Analysis
  • Decision Trees
  • Classification Analysis
  • Anomaly Detection
  • Model Evaluation
  • Model Deployment
  • Case Study

As part of the training and learning during this programme, photography and/or video recording of participants in action will be done.

Experts

Data Mining for Sharper Decision Making at SIM Professional Development

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

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