Statistics

This comprehensive course is structured into three essential sections, beginning with the theory of biostatics. You’ll learn about key statistical concepts like probability, distributions, variables, and hypothesis testing in the easiest methods. Following the theoretical concepts, we will offer hands-on training in data analysis using SPSS in an enjoyable and understandable way. There are six classes designed to learn different hypothesis testing as well as to work with practical data set in SPSS. After completing this course, you will have the skills to analyze data and use the most relevant statistics with confidence.

Then, we’ll introduce you to the intriguing field of critical analysis. There will be three sessions to instruct the participants on how to read clinical research papers effectively with more confidence. Our innovative training materials will teach you critical appraisal techniques to evaluate the quality of healthcare research literature. After completing this course, you will be able to evaluate the significance of research publications and determine where there’s a need for further research. Finally, there will be three sessions dedicated to reviewing previously covered material, discussion, and problem solving.

Throughout this course you will follow the step-by-step process, with examples and exercises to learn the statistics. This course is a first step you need to take into the world of statistics and you don’t need any experience to take it. Whatever is your motivation to start with data analysis and statistics, you’re in the right place.

Course Pre-requisite:

This course assumes no prior knowledge of SPSS or other specialized math or statistical knowledge on your part.

Pre-course reading

For critical appraisal you’ll be sent a research paper in advance of the course. You should read this paper in order to be able to participate fully in the final practical session

What you will learn?

• Biostatistics Theoretical concept – probability, distributions, variables, and hypothesis testing
• SPSS:
• descriptive statistics in SPSS
• Chi-square, Fisher’ exact, Mcnemer’s test and Cochran Q test
• T-tests and One-way ANOVA test
• Correlation test and ROC curve analysis
• Regression analysis
• Critical Appraisal techniques

Who this course is for:

• Beginners or early career researcher in health research.
• PhD students and researchers looking to learn statistics and master SPSS skills and publish in high impact journals
• Professionals looking for a career in health research sector

Why should I take this course?

• Beginner Level
• Language: Bengali to make the class easiest and enjoyable in mother language
• 100% online instructor led classes
• downloadable course material
• class recording available
• Access on mobile/laptop/tablets
• Assignments
• Certificate of completion