Data analytics courses are a core part of curricula in business, marketing, information systems, and related fields. These courses frequently cover a range of data analysis techniques, from basic data visualization and analysis through advanced methods that can include machine learning, time series forecasting, or text mining, to name a few. The JMP Student Edition can help students of all skill levels master these techniques through a no-code, visual interface.

This webinar provides a broad overview of the utility of the JMP Student Edition for teaching data analytics courses. It is intended for instructors who want to learn if and how JMP software meets the needs of their course or curriculum. Topics include:

• Data summarization and visualization

• Regression modeling

• Predictive modeling, including deep learning with the Torch add-in

• Clustering

• Text mining

• Python integration