Research, Data Analysis, Interpretation & Reporting for dp 

Course Modules:

Module 1: Introduction to Research Methodologies

• Understanding different types of research (quantitative, qualitative, and mixed methods)

• Formulating research questions and hypotheses

• Ethical considerations in research

Module 2: Data Collection Techniques

• Primary vs. secondary data sources

• Survey design and implementation

• Interviews, focus groups, and observation techniques

• Sampling methods

Module 3: Data Analysis for Quantitative Research

• Introduction to statistical tools (e.g., SPSS, Excel, R)

• Descriptive statistics and inferential analysis

• Hypothesis testing

• Correlation and regression analysis

Module 4: Data Analysis for Qualitative Research

• Coding and categorizing qualitative data

• Thematic analysis

• Using NVivo for qualitative data analysis

Module 5: Data Interpretation Techniques

• Translating raw data into meaningful insights

• Identifying trends, patterns, and anomalies

• Contextualizing data within the research objectives

Module 6: Effective Reporting and Presentation

• Structuring a research report

• Visualizing data for impact (charts, graphs, infographics)

• Writing clear, concise, and actionable insights

• Presenting findings to different audiences

Module 7: Final Project

• Participants will conduct a mini-research project and prepare a report using the skills learned during the course.