Module 1: Why research, 360-degree view of research landscape
Module 2: Ethics and Integrity in research
Module 3: Anatomy of Research
Module 4: Literature Review
Module 5: Researchers’ lifetime skills (tools and software)
Module 6: Statistical issues in research
Module 7: Scientific Journals: the good, and the fake
Module 8: Research proposal writing assignment and evaluation
What You’ll learn:
- Understanding of the research process
- How to develop a research idea into a research question
- How to formulate a research question
- How to do a literature survey
- Basics of research proposal writing
- Ethics of field and lab research
- Common statistical issues in research (study design, sampling and hypothesis testing)
- How research skills are useful for non-academic purposes
- Lifetime skills for research and non-research purposes (referencing, documentation, time management, collaborative writing and smart note taking)
- Provides a 360 degree view of the research landscape. Our goal is to help develop your researcher-self and not merely provide training to analyze data.
- Our approach is drawn from decades of experience tackling untapped and neglected real-life problems. This training will help build your confidence to independently read and critique articles published in scientific journals.
- We aim to shape the thought process and guide the learners to develop their research-mindset, which is essential to becoming a successful researcher.
Who this course is for:
- If you have no research experience but want to learn the end-to-end research process– from idea generation to publication– then this course is a great one to start with
- If you have some experience but you are not confident enough to start your independent research journey, then this course will be the stepping stone for our supervised research internship (SRI)
- If you are an undergraduate student and planning to conduct your first research project, this course will adequately prepare you to step into your undergraduate thesis/project or major paper
What this course is not about:
- This foundation course will cover some basic statistical principles. But this course is not meant to learn advanced statistical techniques, data management or analysis
- The foundation course will introduce data collection strategies and demonstrate some open source and commercial software.
- This course is not designed for one-on-one mentorship. However, mentors will be available during office hours where you will have opportunity to discuss your problem.
- Amount: 10,000 Taka
- Deadline: May 28, 2021
Refund policy: Enrolled students can opt for a full refund (minus the processing fee) after attending the first class only.
To pay and register, follow this link for details:
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