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03 Days 03 Hours 03 Minutes 03 Seconds

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it’s headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice.

Learning Outcomes:

  • Apply data science principles to identify, analyse, and address real‑world business problems.
  • Implement extract, transform, and load (ETL) processes to prepare and curate datasets for analysis.
  • Analyse datasets using multiple analytical techniques to uncover patterns, trends, and actionable insights.
  • Design appropriate machine learning solutions aligned to specific business objectives.
  • Build, tune, and evaluate classification models to support decision‑making tasks.
  • Build, tune, and evaluate regression and forecasting models for predictive analytics.
  • Build, tune, and evaluate clustering models to segment and explore data.
  • Deploy and communicate a complete data science solution by presenting findings, operationalising models, and monitoring model performance in production environments.

This Certified Data Science Practitioner training course is also designed to assist participants in preparing for the CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-210) certification.

Module 1: Addressing Business Issues with Data Science 
Module 2: Extracting, Transforming, and Loading Data 
Module 3: Analyzing Data 
Module 4: Designing a Machine Learning Approach 
Module 5: Developing Classification Models 
Module 6: Developing Regression Models 
Module 7: Developing Clustering Models 
Module 8: Finalizing a Data Science Project

*Important Note : Fees are subject to Singapore's prevailing Goods and Services Tax (GST).
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