Time Series Data Analysis with Statistical Software JMP - Visualizing, Analyzing, and Forecasting Business Data.
Many of the data handled by companies, such as sales, inventory levels, and sensor measurements, are "time series data" recorded over time. The situations in which such data is handled have been increasing in recent years. In this seminar, we will use real time series data as a subject to explain everything from the visualization of time series data to quantifying factors through regression, forecasting using time series models, and What-if analysis, with demonstrations included.
When it comes to regression, it is important to pay attention to the point where previous and subsequent values are interrelated (autocorrelation), but by using time series models that take advantage of this characteristic, accurate predictions can be made. You will gain insights into the unique handling techniques of JMP and tips for utilizing business data for forecasting and decision-making.
【Main Content】
Using real time series data as a subject, we will convey the following items with JMP demonstrations:
- The benefits and important considerations of analyzing time series data with JMP (date processing, lag functions, etc.)
- Visualization of time series data (considerations using line graphs and smoothed lines)
- Quantification of factors through regression models
- Future forecasting and What-if analysis using time series models (ARIMA, smoothing)
- Features and differentiation of JMP's platforms "Time Series Analysis" and "Time Series Forecasting"

| Date and time | Thursday, Aug 27, 2026 02:00 PM ~ 03:30 PM It is an online seminar using Zoom. |
|---|---|
| Entry fee | Free Advance registration is required. |
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