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Quantitative Skills for Policy Analysis

Categories Data Analytics, Policy Analysis
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About Course

Analyzing and interpreting data forms the foundation for decision-making. Data analysis, interpretation, and using empirical methods are core to approaching most policy challenges. The following programmes are designed to help transform your organizations into one driven by data. The programme will include a hands-on approach of using data analytics tool to turn data into a valuable insights. Emphasis of the course is on the application and use of data analysis method.
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What I will learn?

  • Foundational elements of quantitative analysis such as descriptive, inference and estimation methods.
  • Applied exercise using a real-world data set.
  • Application of R programming language.

Course Curriculum

Free
Free access this course
  • Level
    Beginner
  • Duration
    40 hours
  • Last Updated
    July 17, 2022

Material Includes

  • Coursepack
  • Data sets
  • R Code for data analysis
  • Certificate of Completion

Requirements

  • The course is ideal for those with little or no past training in quantitative methods. Emphasis is placed on the application and interpretation of data analysis method than formal theory and derivation.

Tags

Business

Target Audience

  • The programme is ideal for professionals from both government and non-governmental organizations looking to do quantitative analysis and apply it in the context of public policies.

Course Convenor

Thinley Choedhen

FOUNDER, DRUK LEARNING

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 background in Economic Policy and Public Administration from the London School of Economics.

DRUK LEARNING

Druk Learning is a learning platform that provides evidence-informed and outcome-driven learning and development solutions.

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Programme

Data Science - Text Analysis

START

August 1 - August 10

Duration

5-10 Days

Format

In-Person

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