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Meet our instructors

Make learning and teaching more effective with active participation and student collaboration

Devon Lane

Professor

Courtney Henry

Assistant Professor

Jane Cooper

Assistant Professor

Esther Howard

Visual Artist

Devon Lane

Professor

Courtney Henry

Visual Artist

Jane Cooper

Assistant Professor

Esther Howard

Assistant Professor

Devon Lane

Visual Artist

Courtney Henry

Assistant Professor

Jane Cooper

Assistant Professor

Esther Howard

Assistant Professor

Devon Lane

Professor

Courtney Henry

Assistant Professor

Jane Cooper

Visual Artist

Esther Howard

Assistant Professor

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Share your knowledge and make a living doing what you love.

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