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Time Series Analysis using R

Course Outline

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
Course Dates - North America
Course Dates - Europe
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