What You will Learn From This course

• Build a strong foundation in research methodology, study design, literature review, and scientific manuscript preparation.
• Gain practical hands-on skills in Python programming and machine learning for research applications.
• Complete and prepare at least one quality research publication for a journal or conference.
• Develop a strong research community through collaboration, networking, and knowledge sharing.
• Enhance critical thinking, innovation, and problem-solving skills for future research and career growth.

 

Course Curriculum

Requirements

• Understand the full research workflow, from domain selection to manuscript preparation.
• Read, analyze, and review journal articles in a systematic and critical way.
• Identify a meaningful research gap and design a hypothesis around it.
• Use modern data collection tools, diagram design tools, and reference management software.
• Work confidently with Python and key libraries used in data analysis and Machine Learning.
• Apply Machine Learning techniques such as regression, classification, and ensemble methods on real datasets.
• Get a working introduction to Deep Learning, transfer learning, and CNN models.
• Write each section of a research paper, including the introduction, methodology, results, abstract, and conclusion.

Description

The Complete Research Guide and Publication Roadmap is a Micro-Credential course jointly offered by SkillChefs and the Daffodil International University Micro-Credentials Academy. The course is designed to provide a comprehensive and practical roadmap for conducting high-quality research and publishing in reputed journals. Participants will learn research topic selection, literature review, research gap identification, methodology design, data collection, academic writing, Python fundamentals, machine learning basics, and the complete journal publication process. This course is ideal for students, researchers, and professionals seeking to build a strong foundation in research and academic publishing.

 

Course Objective

• Understand the full research workflow, from domain selection to manuscript preparation.
• Read, analyze, and review journal articles in a systematic and critical way.
• Identify a meaningful research gap and design a hypothesis around it.
• Use modern data collection tools, diagram design tools, and reference management software.
• Work confidently with Python and key libraries used in data analysis and Machine Learning.
• Apply Machine Learning techniques such as regression, classification, and ensemble methods on real datasets.
• Get a working introduction to Deep Learning, transfer learning, and CNN models.
• Write each section of a research paper, including the introduction, methodology, results, abstract, and conclusion.