<div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/two-new-online-r-courses-on-time-series-via-datacamp/"></div></div><div></div></div><div></div></div>
<p><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/free-introduction-to-r/?tap_a=5644-dce66f&tap_s=10907-287229">DataCamp</a> recently launched two new online R courses on time series analysis.</p>
<h3><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/introduction-to-time-series-analysis?tap_a=5644-dce66f&tap_s=10907-287229">Introduction to Time Series Analysis</a></h3>
<p>What You’ll Learn:</p>
<ul>
<li>Chapter One: <strong>Exploratory Time Series Data Analysis</strong> <span><strong>(FREE)</strong></span><br>
Learn how to organize and visualize time series data in R.</li>
<li>Chapter Two:<strong> Predicting the Future</strong><br>
Conduct trend spotting, learn the white noise model, the random walk model, and the definition of stationary processes.</li>
<li>Chapter Three: <strong>Correlation Analysis and the Autocorrelation Function</strong><br>
Review the correlation coefficient, then practice estimating and visualizing autocorrelations for time series data.</li>
<li>Chapter Four: <strong>Autoregression</strong><br>
Discover the autoregressive model and several of its basic properties.</li>
<li>Chapter Five: <strong>A Simple Moving Average</strong><br>
Learn about the simple moving average model, then compare the performance of several models.</li>
</ul>
<h3><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/introduction-to-time-series-analysis?tap_a=5644-dce66f&tap_s=10907-287229">Play now…</a>
<p><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/arima-modeling-with-r?tap_a=5644-dce66f&tap_s=10907-287229">ARIMA Modeling with R</a></h3>
<p>What You’ll Learn:</p>
<ul>
<li>Chapter One: <strong>Time Series Data and Models</strong><br>
Investigate time series data and learn the basics of ARMA models, which can explain the behavior of such data.</li>
<li>Chapter Two: <strong>Fitting ARMA Models</strong><br>
Discover the wonderful world of ARMA models and learn how to fit these models to time series data.</li>
<li>Chapter Three: <strong>ARIMA Models</strong><br>
Learn about integrated ARMA (ARIMA) models for nonstationary time series.</li>
<li>Chapter Four: <strong>Seasonal ARIMA</strong><br>
Learn how to fit and forecast seasonal time series data using seasonal ARIMA models.</li>
</ul>
<h3><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/arima-modeling-with-r?tap_a=5644-dce66f&tap_s=10907-287229">Play now…</a></h3>
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/N0wBCAATfuQ">