- From www.edx.org
Statistical Predictive Modelling and Applications
- 6 Sequences
- Advanced Level
- Starts on January 17, 2022
- Ends on March 14, 2022
Course details
Syllabus
Week 1: Simple Linear Regression
Week 2: Multiple Linear Regression
Week 3: Extensions and Applications
Week 4: Introduction to Naive Bayes
Week 5: Logistic Regression
Week 6: Estimation and Comparison
Prerequisite
You should be familiar with an undergraduate level, or have a background, in mathematics and statistics. Previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic).
Learners pursuing the MicroMasters programme are strongly recommended to complete PA1.1x Introduction to Predictive Analytics using Python and PA1.2x Successfully Evaluating Predictive Modelling on the verified track prior to undertaking this course.
Instructors
Dr Xuefei Lu
Lecturer in Predictive Analytics
University of Edinburgh
Sofia Varypati
Course Tutor
University of Edinburgh
Obinna Unigwe
Course Tutor
The University of Edinburgh
Dr Galina Andreeva
Senior Lecturer in Management Science
The University of Edinburgh
Dr Matthias Bogaert
Assistant professor in Data Analytics
Ghent University
Dr Zexun Chen
Lecturer in Predictive Analytics
University of Edinburgh
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