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Essentials of Research Protocol Writing: Foundations to Practice - Registration 📝
Course Code: MC53006
Course Title: Essentials of Research Protocol Writing: Foundations to Practice
Start Date: September 20, 2025 📅
Duration: 40 hours (13 weeks, ~3 hours per week) + 6 months for project submission (13 Weeks) ⏰
Mode: Blended (online lectures, in-person workshops, supervised project work) 🌐
Class Size: 10-30 participants 👥
Course Equivalent: 20 Credit Hours
Course Fee: 20,000 BDT (Discount Price: 14000) (lectures + practical); 80,000 BDT (with protocol submission) 💸
Course Description 🚀
Essentials of Research Protocol Writing: Foundations to Practice addresses the critical need for structured training in research protocol development, with 70% of postgraduate researchers in Bangladesh facing delays due to inadequate protocol skills (NIPSOM, 2023). This course equips learners with the ability to craft scientifically rigorous, ethically sound protocols for academic, funding, and ethical review. Through interactive lectures, hands-on workshops, and a real-world protocol project, participants will meet global standards (e.g., WHO, IRB) and enhance their research careers. 🌟
Learning Outcomes ✅
Participants will:
Understand and structure research protocols. 📚
Formulate aligned research questions and hypotheses. 🎯
Design methodologies with ethical integration. ⚖️
Prepare protocols for funding and ethical approval. 📜
Evaluate sample protocols for strengths and weaknesses. 🔍
Apply global standards (e.g., WHO) in protocol writing. 🌍
Transform research ideas into fundable proposals. 💡
Target Audience 🎓\
Fresh graduates (any discipline).
Undergraduate/postgraduate students.
Researchers, academics, NGO professionals.
Entry Requirements 📋\
Undergraduate student status or higher.
Minimum age: 18 years.
Career Pathways 🚀\
Research coordinator, protocol developer.
Roles in NGOs, academic institutions, or research organizations.
Advanced studies in research methods or biostatistics.
Professional Certificate in Research Protocol Writing.
Join thousands of students already enrolled
Data Analysis with R: Foundations to Applications
Course Code: MC53007
Course Title: Data Analysis with R: Foundations to Applications
Start Date: September 20, 2025 📅
Duration: 40 hours (13 weeks, ~3 hours per week) + 6 months for project submission (13 weeks) ⏰
Mode: Blended (online lectures, in-person workshops, supervised project work) 🌐
Class Size: 10-30 participants 👥
Course Equivalent: 20 Credit Hours
Course Fee: 20,000 BDT (Discount Price: 14000 BDT)(lectures + practical); 80,000 BDT (with data analysis & manuscript submission) 💸
Course Description 🚀
Data Analysis with R: Foundations to Applications (MC53007) addresses the surging demand for R programming skills in Bangladesh, where data analysis job postings grew by 25% in 2024 (bdjobs.com). With R’s prominence in public health, academia, and business, this course equips learners with practical expertise in data management, statistical analysis, and visualization. Through hands-on labs and a real-world data project, participants will bridge the skills gap, supporting evidence-based decision-making and research excellence. 🌟
Learning Outcomes ✅
Participants will:
Use R for data analysis and visualization proficiently. 💻
Import, clean, and manage datasets effectively. 🗃️
Perform and interpret descriptive/inferential statistics. 📊
Apply parametric/non-parametric tests and regression models. ⚙️
Conduct sample size and power calculations. 🔍
Produce professional statistical reports and manuscripts. 📝
Target Audience 🎓\
Undergraduate/graduate students, early-career researchers.
Public health professionals, data enthusiasts, development practitioners.
Entry Requirements 📋\
Undergraduate student status or higher.
Basic knowledge of statistics.
Minimum age: 18 years.
Career Pathways 🚀\
Research Assistant, Data Analyst, M&E Officer.
Public Health Analyst, Biostatistician.
Advanced studies in biostatistics, epidemiology, data science.
Professional Certificate in Data Analysis with R.
Join thousands of students already enrolled
Applied Data Analysis Using SPSS 📊
Course Code: MC53008
Course Title: Applied Data Analysis Using SPSS
Start Date: September 20, 2025 📅
Duration: 40 hours (13 weeks, ~3 hours per week) + 6 months for project submission (13 weeks) ⏰
Mode: Blended (online lectures, in-person workshops, supervised project work) 🌐
Class Size: 10-30 participants 👥
Course Equivalent: 20 Credit Hours
Course Fee: 20,000 BDT (Discount Price: 14000 BDT)(lectures + practical); 80,000 BDT (with data analysis & manuscript submission) 💸
Course Description 🚀
Applied Data Analysis Using SPSS (MC53008) addresses the critical demand for SPSS proficiency in Bangladesh, where 75% of researchers lack formal training in this tool (icddr,b, 2023). With SPSS widely used in public health, social sciences, and business, this course offers hands-on training in data management, statistical testing, and result interpretation. Through practical labs and a real-world data project, participants will gain skills for academic research, policy analysis, and industry roles, aligning with the 30% rise in SPSS-related job postings (bdjobs.com, 2024). 🌟
Learning Outcomes ✅
Participants will:
Navigate SPSS for data entry and management. 💻
Perform and interpret descriptive statistics and graphs. 📊
Conduct Chi-square, t-tests, ANOVA, and regression analyses. ⚙️
Apply non-parametric tests appropriately. 📉
Execute and interpret logistic regression models. 📋
Estimate sample sizes and power calculations. 🔍
Produce data-driven reports and manuscripts. 📝
Target Audience 🎓\
Undergraduate/graduate students (any discipline).
Researchers, academics, NGO professionals.
Data enthusiasts in public health, social sciences, business.
Entry Requirements 📋\
Undergraduate student status or higher.
Basic knowledge of statistics.
Minimum age: 18 years.
Career Pathways 🚀\
Research Assistant, Data Analyst, M&E Officer.
Public Health Analyst, Policy Analyst.
Advanced studies in biostatistics, epidemiology, data science.
Professional Certificate in Data Analysis with SPSS.
Join thousands of students already enrolled
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