Better Teaching and using Data Analytics for Materials Science

Data analytics has become an integral part of university courses in materials science and manufacturing. In this field, students are required to develop a high statistical thinking and learn to use tools and technologies demanded by industry and market leaders. In this webinar we show university instructors and students best practices to better teach and learn the best data analysis to easily discover, design and manufacture new materials and accelerate materials property calculation using exploratory data analysis, Machine Learning, design of experiments and data modeling. More information on the JMP academic program: www.jmp.com/teach For any questions please contact us on [email protected]