Research Methods and Professional Issues– Data science Training Course

Course Code

res_LBG

Duration

7 hours (usually 1 day including breaks)

Requirements

There are no specific requirements needed to attend this course.

Overview

This classroom based training session will contain presentations and Q&A sessions

Course Outline

  1. Research questions and problems
    • The nature of research in business
    • What kind of business problems need a research study?
    • What are the key issues in research methods?
    • Inductive or deductive reasoning, explanation, prediction
    • Identyfing and reviewing relevant literature
  2. Choosing research approaches and strategies
    • Research paradigms for business
    • Qualitative and Quantitative methods and how they can be related
    • Criteria of validy and reliability in the context of business research
    • Selecting appropriate sampling technique for different research studies
  3. Quantitative research methods
    • Types of data for analysis
    • Choosing appropriate methods and tools
    • Statistical methods
    • Designing questionnaire and testing
  4. Using secondary data
    • What to look for a secondary data and where to find it
    • The contribution of secondary data to business research
    • The advantages of using secondary data in business research
  5. Presenting research reports and communication
    • Writing a report from research
    • Content of a report for a business audience
    • Communicating results, methods and media
    • Producing presentations of key findings
  6. Code of professional conduct and ethics
    • Code of ethics
    • History, Concept of informed consent
    • Data Ownership
    • Privacy and technology
    • Anonymity
    • Data Validity
    • Algorithmic Fairness
    • Consequences for society
    • Code of professional conduct

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