Overview
Key facts
You'll learn about different types of missing data, and the reasons for this, along with good and bad methods of dealing with them.
You can take this course either online or face to face. The third day is optional and will focus on practical application using SPSS.
University College London (UCL) offers the Introduction to Dealing with Missing Data programme.
Programme Structure
Courses include:
- Reasons for missing data
- Types of missing data
- Simple methods for analysing incomplete data
- More sophisticated methods of dealing with missing data (simple and multiple stochastic imputation, weighting methods)
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
- StartingApply anytime.
Language
Delivered
Disciplines
Data Science & Big Data View 43 other Short Courses in Data Science & Big Data in United KingdomAcademic 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.
Tuition Fee
-
International
225 GBP/fullTuition FeeBased on the tuition of 225 GBP for the full programme during 2 days. -
National
225 GBP/fullTuition FeeBased on the tuition of 225 GBP for the full programme during 2 days.