Fundamentals of Predictive Modelling
Solutions to many business problems are related to
successfully predicting future outcomes. This course
introduces predictive modelling and provides a foundation
for more advanced methods and machine learning. Therefore the overall modelloing process is discussed in detail.
Students will gain an understanding of the general approach to predictive modelling and then build simple and multiple linear regression models in Python and R and apply these in a range of contexts.
Core Reading List:
Mastering Predictive Analytics with R - Second Edition
James D. Miller, Rui Miguel Forte
Publisher Packt
Publication date: August 2017
Predictive Analytics with Python, 1st Edition
Alvaro Fuentes
Publisher Packt
- Accreditation: Swiss Private Course
- Total workload: 150 hours
- Requires extra purchases (outside texts, etc.): Yes, purchases required
- ID verification: Required
- Admission requirements: Application required
- Minimum education requirement for students: Undergraduate
Candidates who apply for this course must have a recognised undergraduate degree or equivalent. Candidates without a degree but with other relevant qualifications and/or work experience can also be considered.
English language competency at an IELTS 6.5 (or equivalent) is required of all applicants whose first language is not English. Where students can demonstrate previous substantial studies or work experience in English, this requirement can be waived.