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Time Series Analysis Using R

Time Series Analysis Using R

Course 1269

Duration: 1 day
Language: English
Level: Foundation

A time series is simply a series of data points arranged chronologically.

Time series appear in many contexts.

Finance (e.g. stock prices)
Marketing (e.g. new customers, sales)
Health (e.g. infections, deaths)
Science (e.g earthquakes)
...and many, many more

Time Series Analysis Delivery Method

In-Person
Online

Time Series Analysis Course Information

In this course, you will:

Work with the R statistical modeling language to analyse data.
Import internal and external data sources into R.
Work with time-series data.
Visualise time-series data.
Perform automated forecasting using Prophet.
Consider the potential impact of machine learning on time series analysis.
Leverage continued support with after-course one-on-one instructor coaching and computing sandbox.

Prerequisites

None.

Time Series Analysis Instructor-Led Course Outline

Module 1: Introduction to R

Basics of writing R scripts
Viewing data sets in R

Module 2: Exploratory Data Analysis

Querying and Saving Data in R
Exploratory Data Analysis
Visualising Data
Transforming Data

Module 3: Working with Time Series

Time Series in R
Creating Time Series
Querying and Data Manipulation
Combining Time Series
Rate of Change
Applying Functions to Intervals

Module 4: Visualising Time Series Data

Plotting Basics
Univariate Time Series
Multivariate Time Series

Module 5: Automated Forecasting using Prophet

Generate Forecasts using Prophet
Forecast COVID-19 Cases

Get This Course 8 830 kr

Hands-on labs included
After-course coaching available
After-course computing sandbox

Get the Advantage 37 295 kr

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Include dates with afternoon start times

#1269

jan 21 15:00 - 22:30 CET

Virtual
apr 28 15:00 - 22:30 CEST

Virtual
jul 28 15:00 - 22:30 CEST

Virtual

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Time Series Analysis FAQs

No. You will be taught basic R skills as part of the course.

This is an introductory course. If you have a favorite time series technique, then you are possibly already beyond this course. The focus is very much on the basics. We make extensive use of the popular `xts` package and introduce Meta's (Facebook's) Prophet library.

The focus of the course is on time series analysis. R is merely used as a tool to that end. So, yes---the concepts will translate to your preferred environment.

Yes. There are various opportunities to apply the ideas presented to real-world time series data.

Time Series Analysis Using R

Time Series Analysis Delivery Method

Time Series Analysis Course Information

Time Series Analysis Instructor-Led Course Outline

Module 1: Introduction to R

Module 2: Exploratory Data Analysis

Module 3: Working with Time Series

Module 4: Visualising Time Series Data

Module 5: Automated Forecasting using Prophet

Upgrade your course experience with: Subscriptions

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Time Series Analysis FAQs

Do I need to have prior experience with R?

Will we cover my favorite time series technique/package?

I use Excel/Python/Other. Is this course relevant for me?

Does this include any practical, hands-on learning?

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