Statistical Predictive Modelling and Applications

Statistical Predictive Modelling and Applications

Closed
Course
en
English
48 h
This content is rated 5 out of 5
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  • From www.edx.org
More info
  • 6 Sequences
  • Advanced Level
  • Starts on January 17, 2022
  • Ends on March 14, 2022

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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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