The first part of the course will be an introduction to proteomics with the aim to show current methods and tools used for proteomic data acquisition and evaluation. In the first part, we will discuss in abbreviated form all steps of the experimental procedure from 1) designing the experiment to be suitable for subsequent LC/MS analysis, 2) sample preparation using examples of immunoprecipitation and complex lysate, to 3) measurement options using Data Dependent or Data Independent acquisition. The course will also include a critical evaluation of the quality of the measured data. The evaluation will focus on the possibilities of data processing in freeware software such as MaxQuant and DIAnn. We will also briefly introduce you to commercial programs - Proteome Discoverer, PEAKS, Spectronaut. The second part of the course will include an introduction to statistical processing of quantitative proteomic data in Perseus software. Emphasis will be placed on understanding important statistical concepts (data distribution, t-test, ANOVA, p-value, FDR, etc.) and understanding all necessary steps of statistical analysis such as data filtering, data normalization, statistical testing, etc. There will be model data that participants will process during the course.