# Two new online R courses on time series (via DataCamp)

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DataCamp recently launched two new online R courses on time series analysis.

### Introduction to Time Series Analysis

What You’ll Learn:- Chapter One:
**Exploratory Time Series Data Analysis****(FREE)**Learn how to organize and visualize time series data in R. - Chapter Two:
**Predicting the Future**Conduct trend spotting, learn the white noise model, the random walk model, and the definition of stationary processes. - Chapter Three:
**Correlation Analysis and the Autocorrelation Function**Review the correlation coefficient, then practice estimating and visualizing autocorrelations for time series data. - Chapter Four:
**Autoregression**Discover the autoregressive model and several of its basic properties. - Chapter Five:
**A Simple Moving Average**Learn about the simple moving average model, then compare the performance of several models.

### Play now…

ARIMA Modeling with R What You’ll Learn:- Chapter One:
**Time Series Data and Models**Investigate time series data and learn the basics of ARMA models, which can explain the behavior of such data. - Chapter Two:
**Fitting ARMA Models**Discover the wonderful world of ARMA models and learn how to fit these models to time series data. - Chapter Three:
**ARIMA Models**Learn about integrated ARMA (ARIMA) models for nonstationary time series. - Chapter Four:
**Seasonal ARIMA**Learn how to fit and forecast seasonal time series data using seasonal ARIMA models.