Karol Flisikowski – Statistics, data analysis and more

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You can find here information about my scientific and didactic work (course resources, software used in the lab, topics of my diploma thesis) and about students’ scientific club „Data Science”.

Information on my current office hours and exam dates can be found here.

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„Not all those who wander are lost” [J. R. R. Tolkien]

; Karol 卡羅爾 @Karol_Flisik ·

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So many opportunities with ggplot layers!

RStudio @rstudio

Do you teach #rstats? Wish you could plot your data's mean and other summary statistics without computing outside of ggplot2 layers?

@EvaMaeRey shares the {ggxmean} package: Use geom_*s that show basic statistical concepts in ggplot2!

Post & examples: http://www.rstudio.com/blog/new-statistical-geoms-in-ggxmean/

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; Karol 卡羅爾 @Karol_Flisik ·

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Together with my student, we published a paper on seasonal patterns and trends in dermatoses in Poland 🧐

Seasonal Patterns and Trends in Dermatoses in Poland

Background: The amount of data available online is constantly increasing, including search behavior and tracking trends ...

www.mdpi.com

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Very convenient way to include diagrams in our Markdown reports!

GitHub @github

Did you know you can include diagrams in Markdown?

https://github.blog/2022-02-14-include-diagrams-markdown-files-mermaid/

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Currently (since 2007) I’m employed at Gdansk University of Technology – Department of Statistics and Econometrics (Assistant Professor).

I’m responsible for lecturing descriptive and mathematical statistics (Statistics I-II) and Data Analysis. My research interests focus on the studies of credit constraints.

Since 2016 I’m involved in many e-learning oriented processes: dean’s proxy for e-e-learning dev. (2016-2024); univ. coordinator for e-learning (2020-2024); moodle administrator (2016-2024).

„Statistics is the grammar of science.”
— Karl Pearson

Gdansk University of Technology – Department of Statistics & Econometrics – Lecturer of various undergraduate, graduate and postgraduate courses in statistics (i. e. Mathematical Statistics, Descriptive Statistics, Data Analysis).

I-Shou University – International College / Department of International Finance – Lecturing: descriptive and mathematical statistics (Statistics I-II), Econometrics, Economics I, Information Systems in Management, Information Systems in Finance I-II.

First, don’t forget to install R & R-Studio. If you are new to R – please read the complete tutorial on R here. If you are more familiar with Python, you can use it in the lab as well. I really recommend to use this e-book: „Introduction to Probability and Statistics Using R” or textbook: „Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python„.
Recommended DataCamp courses for descriptive statistics: „Exploratory Data Analysis in R„; „Intermediate Data Visualization with ggplot2„; „Introduction to Statistical Modeling in R„; „Introduction to Regression in R„; „Correlation and Regression in R„; „Time Series Analysis in R” [ask me for free access or contact our Data Science Club]
The R-Bootcamp is a gentle and gradual introduction to manipulating and visualizing data in R. A collection of over 250 (mostly) free R programming books – „Big Book of R„.
If you are looking for help, use search engines like R-Seek, Search-R & forum Stack Overflow or R-Bloggers.
I also recommend „cheat-sheets” – posters that will guide you through some R external packages – the whole collection of them is available here.
For those who are more interested in data analysis, I recommend joining our „Data Science Club” – details on our fanpage, FB group, website or Discord channel.
Recommended DataCamp courses for statistical inference: „Foundations of Inference„; „Foundations of Probability in R„; „Inference for Numerical Data in R„; „Inference for Categorical Data in R„; „A/B Testing in R„; „Hypothesis Testing in R„; „ARIMA Models in R” [ask me for free access or contact our Data Science Club]
The R-Bootcamp is a gentle and gradual introduction to manipulating and visualizing data in R. A collection of over 250 (mostly) free R programming books – „Big Book of R„.

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As dean’s proxy for e-learning development I’m providing support for the faculty members, organizing trainings, monitoring online courses and evaluating their quality.

As the university coordinator for e-learning I’m involved in the process of certification of lecturers (according to the current ministry-level regulations its obligatory for each faculty member) issuing a certificate confirming skills in the field of e-course design. Since 2015 I work as university administrator of the moodle (http://enauczanie.pg.edu.pl) platform – taking care of technical processes such as registration, the logical division of courses within the category of faculty/center and backup.

I am also the founder and a member of newly opened Center for Modern Education at Gdansk University of Technology (2020). In June, 2020 I received “Masters of Didactics” grant from the Ministry of Higher Education and Science for years 2020-2022.

„I know that I’m just a dog but…

If you feel sad, I’ll be your smile.

If you cry, I’ll be your comfort.

And if someone breaks your heart,

we can use mine to live.