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Workshops

Providing Everything You Need

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Sample Size calculation for Biomedical Research

The workshop on sample size calculation in biomedical research is designed to educate researchers on the importance of determining an appropriate sample size to increase the validity and reliability of their research findings. This workshop will cover statistical concepts related to sample size calculations, such as power analysis, effect size, significance level, and type I and type II errors.

This workshop will provide practical guidance on sample size calculations for various study designs. 

Data Analysis using SPSS-Basics

This workshop on data analysis using SPSS basics is designed to provide participants with practical knowledge and skills to analyze data using the Statistical Package for the Social Sciences (SPSS) software. This workshop covers the basics of data analysis, including importing data, data cleaning, and data exploration.

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Data Analysis using SPSS-Advanced

This workshop on data analysis using SPSS-advanced is designed to equip participants with advanced knowledge and skills to perform complex data analysis using the Statistical Package for the Social Sciences (SPSS) software.

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Qualitative Research

Dive into the fascinating world of qualitative research with our comprehensive e-workshop designed for researchers, academicians, and professionals seeking to enhance their understanding of qualitative methodologies. This fully virtual workshop, conducted by experienced experts, will explore the essentials of qualitative research, from designing studies to analyzing and reporting findings. With interactive sessions and practical insights, participants will gain the skills needed to conduct rigorous and impactful qualitative research. Join us to expand your research horizons and connect with a community of like-minded learners.

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Basics of Thesis Writing

The workshop on thesis writing basics is designed to provide participants with a comprehensive overview of the key elements involved in writing a thesis. The workshop covers essential topics such as developing research questions, formulating hypotheses, conducting literature reviews and structuring a thesis. Participants will also learn how to write a clear and concise introduction, methods, results, and discussion sections and how to format and reference their work appropriately.

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Basics of R

The workshop on the basics of R is designed to provide participants with a fundamental understanding of the R programming language. The workshop covers essential topics such as data types, data structures, functions, loops, and conditional statements. Participants will also learn how to use R for data manipulation, visualization, and statistical analysis. The workshop is suitable for beginners with little or no programming experience and those who want to learn R for data analysis or statistical modelling.

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