Statistics training for a small group of students
Learn statistics through practical exercises
A 3-day live training taught by Dr. biol., senior data analyst Maksims Zolovs
Who should register?
This training is developed for students who are not familiar with statistical tests, does not want to learn programming languages (R or Python) and study a lot of specific literature, but need to understand how to test the hypothesis, which statistical test best fits your data, how to interpret and present results. Absolutely no experience is required. We will start from the basics and gradually build up your knowledge!
What makes this training different from the rest of the Statistics courses online?
We are offering this training as a 3-day workshop. Each day will consist of a 4-hour live lecture held via the free video-conferencing software. You will obtain knowledge and skills in a small working group (from 4 to 6 students maximum). It means that you will gain full attention from the experienced statistician who will guide you during practical exercises. We will go through many different research designs and choose the appropriate statistical test for analysis. At the end of the training, you will be able to bring your research data and make an analysis under the coach's supervision.
What will you obtain in this training?
The mind map of statistical tests that will show you which statistical test best fits your data
Hand-out materials of the theoretical part of the training
Step by step guide of statistical test application
A detailed description of the required assumptions of statistical tests and interpretation of results.
Examples of result presentation for scientific journals by using an appropriate reporting style (i.e., the APA style).
Software and hardware
During the training, we will use a free software program (JAMOVI https://www.jamovi.org/download.html ) and show that even simple free software is enough to make professional data analysis. The training will take the online format and require a computer with an internet connection and a microphone.
Training outline
Theoretical background and data preparation for analysis
Measurement scales
Descriptive statistics
Data distributions
Formatting variables
Data cleaning
Outliers detection
Practical exercises - one sample tests
Binomial test
Chi-square goodness-of-fit
One sample T-test
Wilcoxon signed-rank test for one sample
Practical exercises Difference between groups
Independent samples T-test
Mann-Whitney U test
Welch test
Test of two proportions
Fisher's exact test
Chi-square test of homogeneity
One-way ANOVA
Welch ANOVA
Kruskal-Wallis H test
Practical exercises Correlation and association
Pearson's correlation
Spearman's correlation
Kendall's tau-b correlation
Point-biserial correlation
Rank-biserial correlation
Chi-square test of independence
Fisher's exact test
Correlation ratio - Eta (η)
Registration and payment
The planned training sessions have currently limited availability. Should you wish to participate in this training, reserve your seat at your earliest convenience by paying the registration fee. The 3-day long training fee - 470 EUR (includes all taxes and course materials).
Each day will follow 17:00 - 21:00 UTC+02:00 (Riga): Live training via Zoom or equivalent platform.
Samples of the course materials
Contact information
Dr. biol., senior data analyst Maksims Zolovs
Institute of Life Sciences and Technology
Parādes street 1A - 101, Daugavpils, LV-5400
maksims.zolovs@du.lv
