Evidence and Analysis in Policy Making

About Course

Learn practical tools to gather, assess and use regression in public policy analysis.

What I will learn?

  • This course will provide learners with practical tools to use regression methods in public policy analysis.
  • It is Druk Learning’s firm belief that all public policy agent and those who depend on evidence for policymaking should have a sound understanding of regression models, their interpretation and application.
  • The course will use R which is an open-source programming language optimized for statistical analysis. The motivation behind Druk Learning adopting programming languages such as R and python is to generate appreciation and interest among Bhutanese policymakers in the application of programming language.

Programme Details

Material Includes

  • Downloadable resources
  • Access to course text and data
  • Access to R code and scripts
  • Certificate of Completion


  • No prior experience in the subject matter is necessary.

Who is this programme for?

  • The programme is designed for professionals from both government and non-governmental organizations looking to do quantitative analysis and apply it in the context of public policies.
  • The course will allow the policy practitioners to evaluate quantitative findings and provide grounding to prepare for more advanced empirical methods.

Course Convenor

Thinley Choedhen


Thinley is a former Civil Servant with a decade of experience in public policy formulation and implementation in Bhutan. | He is also the Founder of Druk Learning | He has a background in Economic Policy and Public Administration from the London School of Economics.


Data Science - Text Analysis


August 1 - August 10


5-10 Days



This course provides a practical and applied approach to quantitative text analysis using R. The course focuses on converting texts into quantitative features and analysing it using statistical methods.  The learners will be have hands on analysis of real text and analysing it using programming language R.  

Learning outcomes: After successful completion of the program, the learners will be able:

  • To conduct text analysis from start to finish. 
  • Use the latest statistical tool and approach to text analysis. 

The program is ideal for those who want to generate insights  text analysis technique. The course will be relevant to:

  1. mid-level to senior professionals who are involved in making/influencing decisions.
  2. Research Professionals 

Thinley Choedhen, Founder of Druk Learning