Introduction to Time Series Analysis and Forecasting in R
$99.99 Track price
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
9 reviews for Introduction to Time Series Analysis and Forecasting in R
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Sam Supakkul –
Excellent theory, explanation, insight, and examples and exercises.
Gabriel Boulanger –
Very well explained, clear language.
Scott Bentrup –
Good introduction to a complicated topic. I certainly know more about the topic now than I did before the course. More examples/hands on would be good. Will be doing the applied time series next and I hope that builds off of this one.
Devansh C –
he missed many small thing to clear so its bad
Suparno Nandi –
The course is definitely useful if you are aiming to learn about time series packages and functions in R. The focus of the course, as the instructor fairly clarifies at the onset, is programming and those looking to improve their theoretical knowledge would require to read further.
Prasad Vagal –
Its going very slow… Lot of time spend in theory which can be directly tought while doing the code
Prity Sinha –
Too much information. I wanted the course to be more theoretical
Denny Permana –
Yes, the course is what I expect about Time Series. Great Job!
Kumari Sneha –