Gain Proficiency in Time Series Data Analysis Proficiency in analyzing data that evolves over time is a crucial skill in the field of data science. This type of data, known as time series data, holds significant importance. In this course, you will acquire a solid foundation in understanding the essence of time series and how to extract meaningful insights from it. Master the Art of Manipulating Time Series with zoo, lubridate, and xts Through comprehensive instruction on utilizing the zoo and lubridate packages in R, you will become adept at importing, exploring, and visualizing time series data. You will gain expertise in extracting key attributes of time series information, such as the data's period and sampling frequency. Additionally, you will develop fluency in seamlessly converting between data frames and time series. By employing the xts package, you will also learn how to aggregate your data, enabling you to discern overarching trends within the dataset. Refine Your Subsetting Techniques This course will equip you with the skills to effectively subset a specific window from a time series, allowing you to focus on a particular period of interest. You will learn how to sample time series data at various intervals, ranging from minutes to years. Furthermore, you will discover methods for imputing missing values in your data, including constant fill, LOCF, and linear interpolation techniques. Additionally, you will gain proficiency in creating rolling windows of a time series, which dynamically move along with the data, facilitating the analysis of trends over time. Moreover, you will learn how to construct expanding windows, which provide insights into how summary statistics approach their ultimate values.