Analysis of Social Phenomena

Course Info

Length: 1 Week

City: Dubai

Type: In Classroom

Available Dates

  • Dec-30-2024

    Dubai

  • Feb-03-2025

    Dubai

  • Apr-21-2025

    Dubai

  • June-16-2025

    Dubai

  • Aug-04-2025

    Dubai

  • Sep-29-2025

    Dubai

  • Nov-24-2025

    Dubai

Dates in Other Venues

  • Dec-23-2024

    Singapore

  • Dec-23-2024

    Barcelona

  • Dec-30-2024

    Paris

  • Jan-27-2025

    Kuala Lumpur

  • Jan-27-2025

    Istanbul

  • Jan-27-2025

    Paris

  • Jan-27-2025

    Barcelona

  • Jan-27-2025

    Amsterdam

  • Jan-27-2025

    Singapore

  • Feb-03-2025

    London

  • Apr-21-2025

    London

  • Apr-28-2025

    Amsterdam

  • Apr-28-2025

    Barcelona

  • Apr-28-2025

    Paris

  • Apr-28-2025

    Istanbul

  • Apr-28-2025

    Kuala Lumpur

  • Apr-28-2025

    Singapore

  • June-16-2025

    London

  • July-28-2025

    Istanbul

  • July-28-2025

    Barcelona

  • July-28-2025

    Singapore

  • July-28-2025

    Kuala Lumpur

  • July-28-2025

    Amsterdam

  • July-28-2025

    Paris

  • Aug-04-2025

    London

  • Sep-29-2025

    London

  • Oct-27-2025

    Barcelona

  • Oct-27-2025

    Singapore

  • Oct-27-2025

    Paris

  • Oct-27-2025

    Amsterdam

  • Oct-27-2025

    Istanbul

  • Oct-27-2025

    Kuala Lumpur

  • Nov-24-2025

    London

Course Details

Course Outline

5 days course

Introduction to Social Phenomena and Research Methods

  • Overview of social phenomena and their importance in society
  • Introduction to the research process and formulating research questions
  • Overview of qualitative and quantitative research methods
  • Ethical considerations in social research

 

Qualitative Research Methods

  • In-depth interviews and focus groups
  • Participant observation and ethnography
  • Content analysis and discourse analysis
  • Case studies and comparative research
  • Coding and analyzing qualitative data

 

Quantitative Research Methods

  • Survey design and sampling techniques
  • Descriptive and inferential statistics
  • Regression analysis and correlation
  • Analyzing and interpreting quantitative data
  • Introduction to data visualization

Social Network Analysis

  • Overview of social network analysis
  • Key concepts and measures in network analysis
  • Data collection and preparation for network analysis
  • Visualization and interpretation of social networks
  • Application of network analysis in various social phenomena

 

Presenting and Communicating Research Findings

  • Strategies for effectively presenting research findings
  • Writing research reports and academic papers
  • Communicating research findings to different audiences (e.g., policymakers, media, and public)
  • Peer review and feedback on research projects
  • Course summary and next steps for further study and practice

Course Video