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Short Courses

Standard Private Course (B2B)

About the course

Successfully Evaluating Predictive Modelling offers you support and resources to master an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python

What you'll learn

Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python.

Through the videos in this open resource you will:

  • analyse the accuracy and quality of a predictive model
  • implement effective measures and strategies to measure models
  • evaluate datasets to determine appropriateness and strength of techniques
  • understand the techniques used in recommended systems

The open resource will be useful for those who want to build their career as a data scientist, business analyst, management consultant, systems designer or similar.

Who the course is for

This course supports Data Analysts and Data Engineers.

Entry criteria

A background in mathematics and statistics is recommended and previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic).

Case Study Introduction

Case Study Introduction - Week 6

Course options

If the course has more than one start date, time, delivery mode or location, then these options will all be shown in the table below.

All times are local.

Start dateDelivery modeCampusClass timeCostBook now
AnytimeOnline (Fixed Schedule)n/an/a£25.00Book now

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