What does the training include?
A time series, also known as a time series, consists of a series of consecutive data points that are recorded at regular intervals, such as days, months, or years. This data can relate to a variety of variables, including temperature, stock prices, sales, or a person's behavior over time.
Using statistical models and machine learning algorithms, we can distinguish the noise from the patterns/trends, making both learning from the past and predicting the future possible. The insights gained can be of considerable value for decision-making and planning across a wide range of subject areas.
For whom?
This training is intended for anyone who is interested in or faces challenges in the field of time series analysis. Some prior knowledge and experience with programming are useful, but not necessary.
