This course is designed for undergraduate students and assuming with some technical competencies who would like more than a "cookbook" approach but who still need to concentrate on the routine sorts of presentation and analysis that deepen their understanding of the topics.
In this introductory Time Series Analysis, we look at data sets representing sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more.
We look at several mathematical models that might be used to describe the processes that generate these types of data. We also look at graphical representations that provide insights into our data.
Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future.
- Teacher: Jayrold Arcede