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Fundamentals of Predictive Modelling


QUALIFI

About This Course

This unit provides a strong foundation for predictive modelling. Its objective is to define the entire modelling process with the help of real life case studies. Many concepts in predictive modelling methods are common and therefore, these concepts will be discussed in detail in this unit. A good understanding of predictive modelling leads to a smart data scientist as many business problems are related to successfully predicting future outcomes.

Requirements

  • A bachelor's degree or an equivalent qualification
  • Should be at least 22 years of age
  • or

  • A minimum work experience of 5 years
  • Learning Outcome

  • Carry out global and individual testing of parameters used in defining predictive models.
  • Validate assumptions in multiple linear regression.
  • Validate models via data partitioning, out of sample testing and cross-validation.
  • Frequently Asked Questions

    What is included in the cost of my programme?

  • All course material, including online modules and written assignments
  • Personal tutor support with online sessions
  • Dedicated student support
  • Access to an online community learning forum
  • Assignment marking and feedback
  • Am I eligible for this programme?

    You are eligible if you meet our stipulated entry requirements.

    Will there be an interview?

    There is no interview process. You will have to fill out a short application form to make sure you meet the criteria.

    Enroll