SPSS Data Analysis

You will learn the basics of statistical analysis, including different types of variables, common distributions, and various hypothesis testing methods. By completing this course, you will be prepared for more advanced data analysis courses. The course adopts a hands-on approach, starting with formulating a testable hypothesis using a research dataset example, and then independently working with a public health dataset.

This course provides a captivating and thorough orientation to data analysis using IBM SPSS Statistics.

Course Prerequisites:
No prior knowledge of SPSS or specialized math/statistical knowledge is required.

What you will learn:

• Data entry and descriptive statistics in SPSS
• Chi-square, Fisher’s exact, McNemar’s test, and Cochran Q test
• T-tests and one-way ANOVA test
• Correlation tests and ROC curve analysis
• Regression analysis

Who this course is for:

• Beginners or early-career researchers in health research
• PhD students and researchers seeking to master SPSS skills and publish in high-impact journals
• Professionals interested in pursuing a career in data analytics in the health research sector

Why should I take this course?

• Suitable for beginners
• Taught in Bengali for an easy and enjoyable learning experience in your mother language
• 100% online instructor-led classes
• Downloadable course materials
• Access to class recordings
• 1 year of access to course materials
• Compatible with mobile, laptop, and tablets
• Assignments to reinforce learning
• Certificate of completion provided