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Topic 3: Time series analysis

Describing and interpreting patterns in time series data

3 hours

• Describe time series plots by identifying features, including trend (long-term direction, e.g. increasing/decreasing), seasonality (systematic, calendar-related movements) and irregular fluctuations (unsystematic, short-term fluctuations). 1 interactive

Analysing time series data

8 hours

• Smooth time series data by calculating a simple moving average using the mean or median for an odd number of data, including the use of spreadsheets. 1 interactive
• Deseasonalise a time series by calculating the seasonal indices using the average percentage method, including the use of spreadsheets. 1 interactive
• Fit a least-squares line to model long-term trends in time series data.
• Solve practical problems that involve the analysis of time series data.