Understand the Now Predict the Future!
Time series analysis and forecasting is one of the key fields in statistical programming. It allows you to
Due to modern technology the amount of available data grows substantially from day to day. Successful companies know that. They also know that decisions based on data gained in the past, and modeled for the future, can make a huge difference. Proper understanding and training in time series analysis and forecasting will give you the power to understand and create those models. This can make you an invaluable asset for your company/institution and will boost your career!
You will learn about different ways in how you can handle date and time data in R. Things like time zones, leap years or different formats make calculations with dates and time especially tricky for the programmer. You will learn about POSIXt classes in R Base, the chron package and especially the lubridate package.
You will learn how to visualize, clean and prepare your data. Data preparation takes a huge part of your time as an analyst. Knowing the best functions for outlier detection, missing value imputation and visualization can safe your day.
After that you will learn about statistical methods used for time series. You will hear about autocorrelation, stationarity and unit root tests.
Courses : 4
Specification: Introduction to Time Series Analysis and Forecasting in R
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