Research Methods & Academic Writing

Categories: Data & AI, Development
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About Course

Develop practical research skills from formulating research questions to producing a well structured academic paper. Learn research design, literature reviews, theoretical frameworks, research methodologies, sampling, data collection, qualitative and quantitative data analysis, interpretation of findings, and academic writing. The course also covers critical thinking, academic referencing, research ethics, and plagiarism prevention, equipping you to conduct, analyse, and present credible research with confidence.

What Will You Learn?

  • Write Python code for data manipulation and analysis
  • Load, clean, and explore datasets with Pandas
  • Build charts and visualizations with Matplotlib and Seaborn
  • Identify trends and patterns in real-world data
  • Structure a basic data analysis workflow

Course Content

Topic 1: Research Foundations, Problems & Questions

Topic 2: Literature Review, Research Gaps & Conceptual Frameworks

Topic 3: Research Philosophies, Approaches & Design

Topic 4: Sampling, Data Collection & Research Ethics

Topic 5: Understanding Data Analysis & Interpretation

Topic 6: Academic Writing, Argument Development & Structure

Topic 7: Citation, Referencing & Academic Integrity

Topic 8: From Research Idea to Proposal or Academic Paper

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