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Intro to Time Series Analysis in R

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In this 2 hour long project-based course, you will learn the basics of time series analysis in R. By the end of this project, you will understand the essential theory for time series analysis and have built each of the major model types (Autoregressive, Moving Average, ARMA, ARIMA, and decomposition) on a real world data set to forecast the future. We will go over the essential packages and functions in R as well to make time series analysis easy.

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Discover the fascinating world of time series analysis with the "Intro to Time Series Analysis in R" course, tailored for enthusiasts in Big Data and Analytics. Guided by an expert instructor from Coursera, this foundational course spans 2 hours and delves into the core principles and methodologies of time series analysis. Throughout the course, you will master essential theories and hands-on techniques using R, exploring key model types including Autoregressive, Moving Average, ARMA, ARIMA, and decomposition. You will also get acquainted with crucial R packages and functions, enabling you to apply time series analysis efficiently to real-world data and forecast future trends. Ideal for beginners and those looking to strengthen their analytical skills, this course provides a concise yet comprehensive introduction to a crucial aspect of data analysis. Available under the Starter subscription, it's a perfect stepping stone into the realm of Big Data and Analytics. Join now and start your journey into time series analysis!