Time Series Analysis using R

A time series is simply a series of data points arranged chronologically. Time series appear in many contexts. Finance (e.g. stock prices) Marketing (e.g. new customers, sales) Health (e.g. infections, deaths) Science (e.g earthquakes) ...and many, many more Time Series Analysis using R Benefits In this course, you will: Work with the R statistical modeling language to analyze data. Import internal and external data sources into R. Work with time-series data. Visualize time-series data. Perform automated forecasting using Prophet. Consider the potential impact of machine learning on time series analysis. Leverage continued support with after-course one-on-one instructor coaching and computing sandbox. Prerequisites None. Time Series Analysis Instructor-Led Course Outline Module 1: Introduction to R Basics of writing R scripts Viewing data sets in R Module 2: Exploratory Data Analysis Querying and Saving Data in R Exploratory Data Analysis Visualizing Data Transforming Data Module 3: Working with Time Series Time Series in R Creating Time Series Querying and Data Manipulation Combining Time Series Rate of Change Applying Functions to Intervals Module 4: Visualizing Time Series Data Plotting Basics Univariate Time Series Multivariate Time Series Module 5: Automated Forecasting using Prophet Generate Forecasts using Prophet Forecast COVID-19 Cases