Ecolab Digital Center Senior Analytics and Data Scientist Interview Questions and Answers

Different types of Time Series include trend, seasonality, cyclic, and irregular components.

• Trend: Long-term increase or decrease in data over time.

• Seasonality: Repeating patterns or cycles at regular intervals.

• Cyclic: Fluctuations that are not of fixed period.

• Irregular: Random variations in data that cannot be attributed to trend, seasonality, or cyclic patterns.

Time series is used when data points are collected over time and have a sequential order, while regression is used for predicting continuous outcomes based on independent variables.

• Time series is used when analyzing data points collected at regular intervals over time.

• Regression models are used when predicting continuous outcomes based on independent variables.

• Time series can capture trends, seasonality, and cyclic pat...read more