Curve smoothing is a statistical technique used to reduce random variations or "noise" from a dataset, allowing the visualization of the underlying trend or pattern. On the platform, we teach methods like moving averages or Kalman filters, applied in econometrics and scientific research.

CurveFlattening is an educational platform that offers applied and practical knowledge in the field of statistics. The materials are created by specialists, but we do not issue officially accredited diplomas or certificates. The goal is to improve practical analysis skills.

The lessons are structured to be accessible. For the introductory modules, a basic familiarity with mathematics is sufficient. The advanced modules in econometrics or optimization assume knowledge of inferential statistics and linear algebra. We recommend following the content sequentially.

All datasets used in exercises and tutorials are anonymized and come from public sources or are synthetically generated for educational purposes. We do not collect or process users' personal data in these activities. For details, see the Privacy Policy.

No. The content is intended exclusively for learning and skill development. We do not provide professional statistical, financial, or medical consulting. Decisions made based on the learned techniques are the sole responsibility of the user. For critical analyses, we always recommend consulting a specialist.