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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 can 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.
After that you will learn about statistical methods used for time series. You will hear about autocorrelation, stationarity and unit root tests.
Then you will see how different models work, how they are set up in R and how you can use them for forecasting. Of course all of this is accompanied with plenty of exercises.
In nearly any quantitatively working field you will see those methods applied. Especially econometrics and finance love time series analysis. For example stock data has a time component which makes this sort of data a prime target for forecasting techniques. But of course also in academia, medicine, business or marketing techniques taught in this course are applied.
Unfortunately learning material on Time Series Analysis Programming in R is quite technical and needs tons of prior knowledge to be understood.
With this course it is the goal to make understanding modeling and forecasting as intuitive and simple as possible for you.
While you need some knowledge in statistics and statistical programming, the course is meant for people without a major in a quantitative field like math or statistics. Basically anybody dealing with time data on a regular basis can benefit from this course.
It depends on your prior knowledge. But as a rule of thumb you should know how to handle standard tasks in R (courses R Basics and R Level 1).
For special offers and combinations just check out the r-tutorials webpage which you can find below the instructor profile.
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|Section 1: Introduction|
Time Series R Task ViewPreview
Datasets to be used
|Section 2: Working With Dates And Time In R|
POSIXt, Date, Chron Classes
Lubridate: Input and Time Zones
Lubridate: Weekdays and Intervals
Lubridate: Exercise Dataframe
Lubridate: Calculations and Leap Years
Lubridate: Exercise Data Handling
Further R Exercises
Section Script TD
|Section 3: Statistical Background For Time Series And Forecasting|
Time Series Characteristics
Acf and Pacf
Section Script STAT
|Section 4: Time Series Analysis And Forecasting|
Time Series Analysis - Basics
Preparing your Dataset
Exercise: Time Series Formatting
Decomposing a Seasonal Time SeriesPreview
Time Series Plots
Simple Moving Average
ARIMA - Basics
ARIMA Coding and Model SelectionPreview
Simple Exponential Smoothing
Holt Winters Exponential Smoothing
Section Script TSA
R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 30,000+ students love it.
We focus on Data Science tutorials. Offering several R courses for every skill level, we are Udemy's number one R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.
All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.
The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.
Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.
We are there to help you boost your career with analytics training – Just learn and enjoy.