The scientific validity of data-based academic studies depends on the accuracy of the statistical methods used and the reliability of the analysis process. At Akademi Sokağı, we offer professional data analysis support for theses, articles, field research, and institutional reporting using common analysis tools such as SPSS, Jamovi, RStudio, and Excel. We collaborate with the client throughout the entire process, from data cleaning to results interpretation, and we create a research profile using descriptive statistics, frequency and percentage tables, and column and pie charts. Depending on the type of research, parametric and non-parametric tests (t-test, ANOVA, Mann-Whitney U, Wilcoxon, Kruskal-Wallis, McNemar, Kappa, etc.) are applied; alternative methods are preferred when the normal distribution assumption is not met. Psychometric assessments include Cronbach's Alpha reliability coefficient, item-total correlations, and factor analyses (AFA, CFA, SEM/SEM). Relationships between variables are examined using methods such as correlation, regression (linear, multiple, logistic), canonical correlation, and HLM. Multivariate analyses such as MANOVA, ANCOVA, and MANCOVA can be reported. During the study planning phase, power analysis is performed with G*Power to determine the appropriate sample size. Akademi Sokağı offers not only technical reporting but also the academic interpretation of each analysis result within the context of the research question and the preparation of reports that can be easily integrated into a thesis or article. If necessary, we support the process with one-on-one consulting sessions. By transforming your data into scientific quality through the principles of academic integrity, statistical integrity, and clear reporting, we provide you with a strong foundation for publication.