Overview
About the course
Goods, services and even people are subject to continuous evaluation online, and the same is true for public policies. Today governments are increasingly using e-participation tools that allow citizens to express their opinions on specific programmes and to play an active role in decision-making. As a result, huge amounts of useful information are now available on the internet in text form.
On this Text Mining Analysis for Public Policy course at King's College London we will explain how to scrape websites to retrieve this information and share different analysis techniques that will equip you to answer policy analysis and evaluation questions. Moreover, we will go through methods such as Optimal Character Recognition to extract digitalised text data from physical printed documents.
Programme Structure
What you will learn:- To demonstrate a sophisticated grasp of concepts of coding, especially the application of coding in R for the use of complex policymaking
- To demonstrate the critical ability to undertake web scraping and text analysis in R
- To acquire the skills to critically assess web data in the context of writing policy proposals
- To have an advanced understanding of the application of data processes to the context of problem-solving in a critical way
- To learn basic concept of coding (which in future can be applied to any coding language)
- To learn specific software packages, such as R
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- Available course dates: To be confirmed
Language
Credits
Delivered
Disciplines
Public Policy Data Science & Big Data View 50 other Short Courses in Data Science & Big Data in United KingdomAcademic requirements
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This short course is for mid-career professionals. Standard entry requirements are a 2:1 degree plus 3 years of relevant work experience.
- Applicants without a 2:1 or higher degree are welcome to apply and typically require 5+ years of relevant work experience.
Tuition Fee
-
International
950 GBP/fullTuition FeeBased on the tuition of 950 GBP for the full programme during 1 months. -
National
950 GBP/fullTuition FeeBased on the tuition of 950 GBP for the full programme during 1 months.