Advanced Certificate in Data Analytics in Digital Economy Module 5: Predictive Modeling and Decision Making (Synchronous E-Learning)
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2024052160
S$600
Original: S$2,000
Save S$1,400
About This Course
Module 5 provides participants with a comprehensive understanding of how predictive modeling techniques can be applied to make informed decisions in the digital economy. The module covers advanced statistical methods, machine learning algorithms, and data mining techniques that are essential for predicting future trends and outcomes.
What You'll Learn
At the end of the 2-day module, participants will be able to:
• Understand the principles and techniques of predictive modelling in the context of digital economy, including regression analysis, time series forecasting, and machine learning algorithms
• Apply statistical and computational methods to analyse large datasets from digital economy sources in order to make informed decisions using predictive modelling
• Evaluate the ethical implications and potential biases associated with predictive modelling in digital economy decision making, and develop strategies to mitigate these issues
• Utilise data visualisation tools and techniques to effectively communicate insights derived from predictive models for decision making within the digital economy landscape
• Critically assess real-world case studies where predictive modelling has been used to drive strategic decision making in various sectors of the digital economy, identifying best practices and areas for improvement
• Understand the principles and techniques of predictive modelling in the context of digital economy, including regression analysis, time series forecasting, and machine learning algorithms
• Apply statistical and computational methods to analyse large datasets from digital economy sources in order to make informed decisions using predictive modelling
• Evaluate the ethical implications and potential biases associated with predictive modelling in digital economy decision making, and develop strategies to mitigate these issues
• Utilise data visualisation tools and techniques to effectively communicate insights derived from predictive models for decision making within the digital economy landscape
• Critically assess real-world case studies where predictive modelling has been used to drive strategic decision making in various sectors of the digital economy, identifying best practices and areas for improvement
Entry Requirements
Nil
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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