This course introduces students to research methodology, covering the nature of research, scientific investigation skills, and problem identification. It explores various research methods, including naturalistic inquiries and case studies. Students will learn about population and sampling techniques, statistical tools for analysis, and the essentials of writing research reports and proposals. The course also addresses research referencing, proposal contents, and ethical considerations, equipping students with a comprehensive understanding of the research process.
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Everything you need to know about this course
Key areas covered in this course
Knowledge and skills recommended for success
Basic Statistics
Introduction to Social Sciences
💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.
How your progress will be evaluated (3 methods)
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Explore the career paths this course opens up for you
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Real-world sectors where you can apply your knowledge
A structured 13-week journey through the course content
This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.
Expert tips to help you succeed in this course
Create concept maps linking research designs to appropriate data analysis techniques (Weeks 6-11).
Practice writing research proposals based on different problem statements (Weeks 1-5).
Review ethical guidelines and case studies to understand ethical considerations (Week 13).
Focus on understanding the assumptions and limitations of different statistical tests (Week 12).
Practice interpreting statistical output and drawing meaningful conclusions (Week 12).
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