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Time series analysis is important for forecasting future trends from "summary" of Data Science and Big Data Analytics by EMC Education Services
Time series analysis is a crucial tool in the realm of data science for making predictions about future trends. By examining past data points in a sequential order, analysts can uncover patterns and relationships that can be used to forecast what may happen in the future. This type of analysis is especially valuable when dealing with data that is collected over time, such as stock prices, weather patterns, or sales figures. One of the key benefits of time series analysis is its ability to capture the underlying structure and dependencies in the data. By analyzing how variables change over time, analysts can identify trends, seasonality, and other patterns that may impact future outcomes. This allows for more accurate forecasting and bett...
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