Basics of statistics
Introduction to statistics. Statistics. biostatistics, clinical trials, data analysis in medicine.
Ratings 5.00 / 5.00
What You Will Learn!
- What types of data we distinguish in a statistical context
- The most common types of distributions
- Detecting and dealing with outliers
- Measures used for presenting descriptive statistics
- Measures of correlation and their practical applications
Description
Basic course information
The course is designed to familiarize the student with the basic issues of descriptive statistics. Such concepts as quantitative and qualitative data, parameter, measures of position or dispersion, types of distributions and outlier observations will be introduced. The listener will also learn what correlation relationships are and what measures of correlation we distinguish.
Who is this course designed for?
The course is designed for anyone who wants to refresh information regarding basic statistical issues or is just delving into the topic of statistical analysis.
What will you learn?
In this course, you will learn what types of data are distinguished in a statistical context, what measures are used to represent basic descriptive characteristics, what are the most common types of distributions, to what attention should be paid, and how to detect and deal with outliers. In addition, you will also learn about correlation measures and their application in practice.
About us
The course is conducted by Aneta Piechaczek, PhD. Statistician and econometrician. In the years 2017-2021, an employee of the Laboratory of Applications of Mathematics in Economics AGH UST. PhD in the field of Management and Quality Science, developing in her dissertation the issues of more advanced statistical analyses in socio-economic sciences. In 2021, she was nominated for the Didactics Laurel of AGH university. Author and co-author of several scientific publications related to data analysis and statistics. Statistician of the BioStat Research and Development Center.
BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.
Who Should Attend!
- Individuals aspiring to work in the clinical research industry.
- Employees in the clinical research industry, in positions such as clinical trial assistant (CTA), clinical research associate (CRA), project manager and others related to clinical research practice.
- Doctors whose medical and scientific activities are related to clinical research.
- Academics who use statistical analysis in their research.
- Students who need basic knowledge of statistics.