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Programming for Analytics

Categories Data Analytics, Development, Featured

About Course

This course introduces students to the fundamentals of computer programming for data analysis using the programming languages R and Python. The course will will rely on practical examples from social data science. 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 to data analytics tool to turn data into a valuable insights.
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What I will learn?

  • You will learn the foundations of computer languages, algorithms, functions, variables, object orientation, scoping, and assignment.

Course Curriculum

Free
Free access this course
  • Level
    Beginner
  • Duration
    40 hours
  • Last Updated
    August 11, 2022

Material Includes

  • Relevant Texts and articles
  • Downloadable resources
  • Certificate of Completion

Requirements

  • This course is at the introductory level.
  • No programming experience is required.

Tags

Development

Target Audience

  • The programme is designed for anyone looking to apply programming language in data analysis.

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