Time Series Analysis using R
Course 1269
1 DAY COURSE

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 using R Benefits

• In this course, you will:

  • Work with the R statistical modeling language to analyze data.
  • Import internal and external data sources into R.
  • Work with time-series data.
  • Visualize 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
• Visualizing 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: Visualizing 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