The first step in data analysis! What is the key to forecasting using time series data?

Prediction using data for the future is important in order to make quantitative hypotheses when planning strategies in business. However, when dealing with time series data for the first time, do you have any concerns?

• What should I start with?
• Are there any data analysis tools that even beginners can easily use?
• What are the key points in making forecasts using time-series data?

In this seminar, we will explain the <first step> for beginners to start data analysis.

• What is time series data?
• How to view time series data (autoregression, trend, periodicity, external factors, noise)
• Simple time-series data analysis for beginners (ARIMA model)

In the second half of the seminar, you can actually experience future forecasting of time-series data from an ARIMA model using the Splunk Machine Learning Tool Kit (MLTK), a machine learning customization function of the data analysis platform Splunk. We hope that through this seminar, you will realize that you can easily predict the future from time series data by using Splunk MLTK.

*There is no need to prepare a data analysis platform.
The Splunk environment used by the participants will be prepared by the seminar lecturer, so please feel free to join us.

How to participate in the online seminar

• Please register the necessary information from "Apply here" at the top of this page.
• We will email you the login URL for the online seminar by 17:00 the day before the event. ^*
• On the day of the event, when it is time, please access from the login URL and listen to the lecture.

※セキュリティポリシーなどの関係で届かない可能性がございます。届いていない場合は、splunk-sales@macnica.co.jpまでご連絡ください。

*Registration is required to attend. Please refrain from sharing your login URL.