This course provides a comprehensive introduction to statistics, focusing on core concepts used in research, healthcare, and data analysis. It is designed for beginners who want to build a strong foundation in understanding and interpreting data.
The course begins with an overview of statistics and its importance in scientific research. It introduces essential terminology and definitions that form the basis of statistical thinking.
Learners will explore different study designs, including cross-sectional, case-control, and cohort studies, helping them understand how research is structured and how data is collected in real-world investigations.
The course also covers variables and types of variables, explaining how data is categorized into qualitative and quantitative forms. This is essential for proper data analysis and interpretation.
In addition, it introduces data visualization techniques such as bar charts, pie charts, frequency tables, histograms, density plots, and boxplots. These tools help learners understand how to present and interpret data effectively.
By the end of this course, learners will have a solid understanding of basic statistical concepts and be able to analyze and visualize data using standard statistical methods.
