Basics of statistics

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BioStat Statistics

1:56:40

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1. Lessons

1. Introduction.mp4

00:29

2. Types of data.mp4

06:46

3. Empirical distribution of a feature.mp4

07:14

4. Measures of central tendency.mp4

30:00

5. Measures of variability.mp4

11:10

6. Asymmetry and concentration of the distribution.mp4

14:16

7. Types of distributions.mp4

21:39

8. Outlier observations.mp4

09:37

9. Correlations.mp4

14:31

10. Summary.mp4

00:58

Description

Introduction to statistics. Statistics. biostatistics, clinical trials, data analysis in medicine.

What You'll 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

Who is this 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 You Need to Know?

This course is for beginners.

More details

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 this course is 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.

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Statistics

BioStat Statistics

Instructor's Courses

Biostat® is professional statistics center. For over 20 years we run several hundred clinical researches around world as a full service CRO (clinical trials and non- interventional studies). We conduct full statistical services for clinical research including statistical analysis plan, sample size, data collection (eCRF), data management, interim analysis and statistical report. Data analysis, statistical analyses and consultations for projects carried out by CRO, academic institutions as well as individual researchers and scientists. We develop professional statistical support and analysis in accordance to requirements set by FDA and ISI Master Journal List magazines. 12-month warranty provided. We give support in the further steps of work on writings and in the review procedure.

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