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Overview
A predictive exercise is not finished when a model is built. This Predictive Analytics for Business Applications - Evaluation of Predictive Modelling course EdX and The University of Edinburgh - EdinburghX will equip you with essential skills for understanding performance evaluation metrics, using Python, to determine whether a model is performing adequately.
Specifically, you will learn:
- Appropriate measures that are used to evaluate predictive models
- Procedures that are used to ensure that models do not cheat through, for example, overfitting or predicting incorrect distributions
- The ways that different model evaluation criteria illustrate how one model excels over another and how to identify when to use certain criteria
This course is part of a MicroMasters® Program
This is the foundation of optimising successful predictive models. The concepts will be brought together in a comprehensive case study that deals with customer churn. You will be tasked with selecting suitable variables to predict whether a customer will leave a telecommunications provider by looking into their behaviour, creating various models, and benchmarking them by using the appropriate evaluation criteria.
Programme Structure
Courses include:
- Week 1: Evaluation Metrics and Feature Selection
- Week 2: Feature Selection and Correlation Analysis
- Week 3: Feature Selection with Decomposition Techniques
- Week 4: Sampling Techniques
- Week 5: Resampling Techniques
- Week 6: Case Study
Key information
Duration
- Part-time
- 42 days
- 8 hrs/week
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Edinburgh, United Kingdom
Disciplines
Business Administration Business Intelligence International Business View 103 other Short Courses in Business Administration in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
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 on the verified track prior to undertaking this course.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents300 USD / full≈ 300 USD / full -
Domestic Applies to you
Applies to youCitizens or residents300 USD / full≈ 300 USD / full
Funding
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