Descriptive Statistics 2026 | Karol Flisikowski | Summer 2026 | PG
About the course¶
This course will teach you how to think about data and visualization for exploratory data analysis (EDA).
How is the data set formatted and is it the right format for what I want to do?
Is this dataset representative or does it reflect an objective sample?
What ethical considerations should I take into account when obtaining and analyzing the data?
What method of data visualization and analysis should I use for a given measurement scale of a variable?
How to make a statistical description of the sample for a given research problem?
Workshops¶
Current workshops - edition Summer 2026.
The instructor is Karol Flisikowski.
E-mail: karflisi@pg.edu.pl | karol@ctbu.edu.cn
Office hours¶
Online consultations - Wednesdays 12 - 13 pm - arranged through Calendly here: link
Topics¶
Topics discussed will include:
Python basics for Data Science.
Organizing and cleaning data.
Data visualization.
Descriptive statistics - describing a sample.
For more information, see syllabus.