Time Series Analysis Assessment
Online assessment to evaluate proficient-level forecasting and time series modeling skills
This intermediate-level assessment helps employers assess a candidate’s understanding of time series modeling techniques and forecasting methods. It focuses on topics such as ARIMA, seasonality detection, trend analysis, lag and rolling features, and model evaluation. Candidates are tested on their ability to preprocess temporal data, ensure stationarity, and interpret forecast outputs effectively. Ideal for data scientists, analysts, and forecasters, this assessment identifies individuals capable of applying statistical and machine learning techniques to real-world forecasting tasks. Automated scoring provides quick, data-driven insights into candidate performance.
