Statistical Predictive Modelling and Applications
link Source: www.edx.org
date_range Starts on May 11, 2021
event_note Ends on July 6, 2021
list 6 sequences
assignment Level : Advanced
chat_bubble_outline Language : English
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 48 hours in total

About the content

In this course, you will learn three predictive modelling techniques - linear and logistic regression, and naive Bayes - and their applications in real-world scenarios.

The first half of the course focuses on linear regression. This technique allows you to model a continuous outcome variable using both continuous and categorical predictors. This technique enables you to predict product sales based on several customer variables.

In the second half of the course, you will learn about logistic regression, which is the counterpart of linear regression, when the response variable is categorical. You will also be introduced to naive Bayes; a very intuitive, probabilistic modeling technique.

In this course, you will:

  • Discover how predictive models influence real-world business scenarios
  • Translate business challenges into predictive modeling solutions
  • Develop experience with implementing theoretic models in Python

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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.

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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

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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

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Platform

Edx

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